Merge pull request 'development' (#184) from development into main

Reviewed-on: #184

.claude-plugin/marketplace.json

@@ -6,12 +6,12 @@
   },
   "metadata": {
     "description": "Project management plugins with Gitea and NetBox integrations",
-    "version": "3.1.0"
+    "version": "4.1.0"
   },
   "plugins": [
     {
       "name": "projman",
-      "version": "3.1.0",
+      "version": "3.2.0",
       "description": "Sprint planning and project management with Gitea integration",
       "source": "./plugins/projman",
       "author": {
@@ -149,6 +149,38 @@
       "category": "development",
       "tags": ["code-review", "pull-requests", "security", "quality"],
       "license": "MIT"
+    },
+    {
+      "name": "data-platform",
+      "version": "1.0.0",
+      "description": "Data engineering tools with pandas, PostgreSQL/PostGIS, and dbt integration",
+      "source": "./plugins/data-platform",
+      "author": {
+        "name": "Leo Miranda",
+        "email": "leobmiranda@gmail.com"
+      },
+      "homepage": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace/src/branch/main/plugins/data-platform/README.md",
+      "repository": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace.git",
+      "mcpServers": ["./.mcp.json"],
+      "category": "data",
+      "tags": ["pandas", "postgresql", "postgis", "dbt", "data-engineering", "etl"],
+      "license": "MIT"
+    },
+    {
+      "name": "viz-platform",
+      "version": "1.0.0",
+      "description": "Visualization tools with Dash Mantine Components validation, Plotly charts, and theming",
+      "source": "./plugins/viz-platform",
+      "author": {
+        "name": "Leo Miranda",
+        "email": "leobmiranda@gmail.com"
+      },
+      "homepage": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace/src/branch/main/plugins/viz-platform/README.md",
+      "repository": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace.git",
+      "mcpServers": ["./.mcp.json"],
+      "category": "visualization",
+      "tags": ["dash", "plotly", "mantine", "charts", "dashboards", "theming", "dmc"],
+      "license": "MIT"
     }
   ]
 }

CHANGELOG.md

@@ -4,14 +4,118 @@ All notable changes to the Leo Claude Marketplace will be documented in this fil
 
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 
-## [3.1.2] - 2026-01-23
+## [Unreleased]
+
+### Added
+
+#### Sprint 1: viz-platform Plugin ✅ Completed
+- **viz-platform** v1.0.0 - Visualization tools with Dash Mantine Components validation and theming
+  - **DMC Tools** (3 tools): `list_components`, `get_component_props`, `validate_component`
+    - Version-locked component registry prevents Claude from hallucinating invalid props
+    - Static JSON registry approach for fast, deterministic validation
+  - **Chart Tools** (2 tools): `chart_create`, `chart_configure_interaction`
+    - Plotly-based visualization with theme token support
+  - **Layout Tools** (3 tools): `layout_create`, `layout_add_filter`, `layout_set_grid`
+    - Dashboard composition with responsive grid system
+  - **Theme Tools** (4 tools): `theme_create`, `theme_extend`, `theme_validate`, `theme_export_css`
+    - Design token-based theming system
+    - Dual storage: user-level (`~/.config/claude/themes/`) and project-level
+  - **Page Tools** (3 tools): `page_create`, `page_add_navbar`, `page_set_auth`
+    - Multi-page Dash app structure generation
+  - **Commands**: `/chart`, `/dashboard`, `/theme`, `/theme-new`, `/theme-css`, `/component`, `/initial-setup`
+  - **Agents**: `theme-setup`, `layout-builder`, `component-check`
+  - **SessionStart Hook**: DMC version check (non-blocking)
+  - **Tests**: 94 tests passing
+    - config.py: 82% coverage
+    - component_registry.py: 92% coverage
+    - dmc_tools.py: 88% coverage
+    - chart_tools.py: 68% coverage
+    - theme_tools.py: 99% coverage
+
+**Sprint Completed:**
+- Milestone: Sprint 1 - viz-platform Plugin (closed 2026-01-26)
+- Issues: #170-#182 (13/13 closed)
+- Wiki: [Sprint-1-viz-platform-Implementation-Plan](https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace/wiki/Sprint-1-viz-platform-Implementation-Plan)
+- Lessons: [sprint-1---viz-platform-plugin-implementation](https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace/wiki/lessons/sprints/sprint-1---viz-platform-plugin-implementation)
+- Reference: `docs/changes/CHANGE_V04_0_0_PROPOSAL_ORIGINAL.md` (Phases 4-5)
+
+---
+
+## [4.1.0] - 2026-01-26
+
+### Added
+- **projman:** Wiki-based planning workflow enhancement (V04.1.0)
+  - Flexible input source detection in `/sprint-plan` (file, wiki, or conversation)
+  - Wiki proposal and implementation page creation during sprint planning
+  - Wiki reference linking in created issues
+  - Wiki status updates in `/sprint-close` (Implemented/Partial/Failed)
+  - Metadata section in lessons learned with implementation link for traceability
+  - New `/proposal-status` command for viewing proposal/implementation tree
+- **projman:** `/suggest-version` command - Analyzes CHANGELOG and recommends semantic version bump
+- **projman:** SessionStart hook now suggests sprint planning when open issues exist without milestone
+- **projman:** SessionStart hook now warns about unreleased CHANGELOG entries
+
+### Changed
+- **doc-guardian:** Hook now tracks documentation dependencies and queues specific files needing updates
+  - Outputs which specific docs need updating (e.g., "commands changed → update needed: docs/COMMANDS-CHEATSHEET.md README.md")
+  - Maintains queue file (`.doc-guardian-queue`) for batch processing
+- **docs:** COMMANDS-CHEATSHEET.md updated with data-platform plugin (7 commands + hook)
+
+### Fixed
+- Documentation drift: COMMANDS-CHEATSHEET.md was missing data-platform plugin added in v4.0.0
+- Proactive sprint planning: projman now suggests `/sprint-plan` at session start when unplanned issues exist
+
+### Known Issues
+- **MCP Bug #160:** `update_wiki_page` tool renames pages to "unnamed" when page_name contains URL-encoded characters (`:` → `%3A`). Workaround: use `create_wiki_page` to overwrite instead.
+
+---
+
+## [4.0.0] - 2026-01-25
+
+### Added
+
+#### New Plugin: data-platform v1.0.0
+- **pandas MCP Tools** (14 tools): DataFrame operations with Arrow IPC data_ref persistence
+  - `read_csv`, `read_parquet`, `read_json` - Load data with chunking support
+  - `to_csv`, `to_parquet` - Export to various formats
+  - `describe`, `head`, `tail` - Data exploration
+  - `filter`, `select`, `groupby`, `join` - Data transformation
+  - `list_data`, `drop_data` - Memory management
+
+- **PostgreSQL MCP Tools** (10 tools): Database operations with asyncpg connection pooling
+  - `pg_connect`, `pg_query`, `pg_execute` - Core database operations
+  - `pg_tables`, `pg_columns`, `pg_schemas` - Schema exploration
+  - `st_tables`, `st_geometry_type`, `st_srid`, `st_extent` - PostGIS spatial support
+
+- **dbt MCP Tools** (8 tools): Build tool wrapper with pre-execution validation
+  - `dbt_parse` - Pre-flight validation (catches dbt 1.9+ deprecations)
+  - `dbt_run`, `dbt_test`, `dbt_build` - Execution with auto-validation
+  - `dbt_compile`, `dbt_ls`, `dbt_docs_generate`, `dbt_lineage` - Analysis tools
+
+- **Commands**: `/ingest`, `/profile`, `/schema`, `/explain`, `/lineage`, `/run`
+- **Agents**: `data-ingestion` (loading/transformation), `data-analysis` (exploration/profiling)
+- **SessionStart Hook**: Graceful PostgreSQL connection check (non-blocking warning)
+
+- **Key Features**:
+  - data_ref system for DataFrame persistence across tool calls
+  - 100k row limit with chunking support for large datasets
+  - Hybrid configuration (system: `~/.config/claude/postgres.env`, project: `.env`)
+  - Auto-detection of dbt projects
+  - Arrow IPC format for efficient memory management
+
+---
+
+## [3.2.0] - 2026-01-24
 
 ### Added
 - **git-flow:** `/commit` now detects protected branches before committing
   - Warns when on protected branch (main, master, development, staging, production)
   - Offers to create feature branch automatically instead of committing directly
   - Configurable via `GIT_PROTECTED_BRANCHES` environment variable
-  - Resolves issue where commits to protected branches would fail on push
+- **netbox:** Platform and primary_ip parameters added to device update tools
+- **claude-config-maintainer:** Auto-enforce mandatory behavior rules via SessionStart hook
+- **scripts:** `release.sh` - Versioning workflow script for consistent releases
+- **scripts:** `verify-hooks.sh` - Verify all hooks are command type
 
 ### Changed
 - **doc-guardian:** Hook switched from `prompt` type to `command` type
@@ -19,14 +123,24 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
   - New `notify.sh` bash script guarantees exact output behavior
   - Only notifies for config file changes (commands/, agents/, skills/, hooks/)
   - Silent exit for all other files - no blocking possible
-- **All hooks:** Stricter plugin prefix enforcement
+- **All hooks:** Converted to command type with stricter plugin prefix enforcement
-  - All prompts now mandate `[plugin-name]` prefix with "NO EXCEPTIONS" rule
+  - All hooks now mandate `[plugin-name]` prefix with "NO EXCEPTIONS" rule
   - Simplified output formats with word limits
   - Consistent structure across projman, pr-review, code-sentinel, doc-guardian
+- **CLAUDE.md:** Replaced destructive "ALWAYS CLEAR CACHE" rule with "VERIFY AND RESTART"
+  - Cache clearing mid-session breaks MCP tools
+  - Added guidance for proper plugin development workflow
 
 ### Fixed
-- Protected branch workflow: Claude no longer commits directly to protected branches and then fails on push (fixes #109)
+- **cmdb-assistant:** Complete MCP tool schemas for update operations (#138)
-- doc-guardian hook no longer blocks workflow - switched to command hook that can't be overridden by model (fixes #110)
+- **netbox:** Shorten tool names to meet 64-char API limit (#134)
+- **cmdb-assistant:** Correct NetBox API URL format in setup wizard (#132)
+- **gitea/projman:** Type safety for `create_label_smart`, curl-based debug-report (#124)
+- **netbox:** Add diagnostic logging for JSON parse errors (#121)
+- **labels:** Add duplicate check before creating labels (#116)
+- **hooks:** Convert ALL hooks to command type with proper prefixes (#114)
+- Protected branch workflow: Claude no longer commits directly to protected branches (fixes #109)
+- doc-guardian hook no longer blocks workflow (fixes #110)
 
 ---
 

CLAUDE.md

@@ -31,11 +31,16 @@ This file provides guidance to Claude Code when working with code in this reposi
 - If user asks for output, show the OUTPUT
 - **Don't interpret or summarize unless asked**
 
-### 5. AFTER PLUGIN UPDATES - ALWAYS CLEAR CACHE
+### 5. AFTER PLUGIN UPDATES - VERIFY AND RESTART
-```bash
+
-rm -rf ~/.claude/plugins/cache/leo-claude-mktplace/
+**⚠️ DO NOT clear cache mid-session** - this breaks MCP tools that are already loaded.
-./scripts/verify-hooks.sh
+
-```
+1. Run `./scripts/verify-hooks.sh` to check hook types
+2. If changes affect MCP servers or hooks, inform the user:
+   > "Plugin changes require a session restart to take effect. Please restart Claude Code."
+3. Cache clearing is ONLY safe **before** starting a new session (not during)
+
+See `docs/DEBUGGING-CHECKLIST.md` for details on cache timing.
 
 **FAILURE TO FOLLOW THESE RULES = WASTED USER TIME = UNACCEPTABLE**
 
@@ -45,7 +50,7 @@ rm -rf ~/.claude/plugins/cache/leo-claude-mktplace/
 ## Project Overview
 
 **Repository:** leo-claude-mktplace
-**Version:** 3.1.2
+**Version:** 4.0.0
 **Status:** Production Ready
 
 A plugin marketplace for Claude Code containing:
@@ -60,6 +65,8 @@ A plugin marketplace for Claude Code containing:
 | `code-sentinel` | Security scanning and code refactoring tools | 1.0.0 |
 | `claude-config-maintainer` | CLAUDE.md optimization and maintenance | 1.0.0 |
 | `cmdb-assistant` | NetBox CMDB integration for infrastructure management | 1.0.0 |
+| `data-platform` | pandas, PostgreSQL, and dbt integration for data engineering | 1.0.0 |
+| `viz-platform` | DMC validation, Plotly charts, and theming for dashboards | 1.0.0 |
 | `project-hygiene` | Post-task cleanup automation via hooks | 0.1.0 |
 
 ## Quick Start
@@ -79,10 +86,13 @@ A plugin marketplace for Claude Code containing:
 | **Setup** | `/initial-setup`, `/project-init`, `/project-sync` |
 | **Sprint** | `/sprint-plan`, `/sprint-start`, `/sprint-status`, `/sprint-close` |
 | **Quality** | `/review`, `/test-check`, `/test-gen` |
+| **Versioning** | `/suggest-version` |
 | **PR Review** | `/pr-review:initial-setup`, `/pr-review:project-init` |
 | **Docs** | `/doc-audit`, `/doc-sync` |
 | **Security** | `/security-scan`, `/refactor`, `/refactor-dry` |
 | **Config** | `/config-analyze`, `/config-optimize` |
+| **Data** | `/ingest`, `/profile`, `/schema`, `/explain`, `/lineage`, `/run` |
+| **Visualization** | `/component`, `/chart`, `/dashboard`, `/theme`, `/theme-new`, `/theme-css` |
 | **Debug** | `/debug-report`, `/debug-review` |
 
 ## Repository Structure
@@ -93,14 +103,15 @@ leo-claude-mktplace/
 │   └── marketplace.json          # Marketplace manifest
 ├── mcp-servers/                  # SHARED MCP servers (v3.0.0+)
 │   ├── gitea/                    # Gitea MCP (issues, PRs, wiki)
-│   └── netbox/                   # NetBox MCP (CMDB)
+│   ├── netbox/                   # NetBox MCP (CMDB)
+│   └── viz-platform/             # DMC validation, charts, themes
 ├── plugins/
 │   ├── projman/                  # Sprint management
 │   │   ├── .claude-plugin/plugin.json
 │   │   ├── .mcp.json
 │   │   ├── mcp-servers/gitea -> ../../../mcp-servers/gitea  # SYMLINK
-│   │   ├── commands/             # 13 commands (incl. setup, debug)
+│   │   ├── commands/             # 14 commands (incl. setup, debug, suggest-version)
-│   │   ├── hooks/                # SessionStart mismatch detection
+│   │   ├── hooks/                # SessionStart: mismatch detection + sprint suggestions
 │   │   ├── agents/               # 4 agents
 │   │   └── skills/label-taxonomy/
 │   ├── git-flow/                 # Git workflow automation
@@ -114,10 +125,24 @@ leo-claude-mktplace/
 │   │   ├── commands/             # 6 commands (incl. setup)
 │   │   ├── hooks/                # SessionStart mismatch detection
 │   │   └── agents/               # 5 agents
-│   ├── clarity-assist/           # Prompt optimization (NEW v3.0.0)
+│   ├── clarity-assist/           # Prompt optimization
 │   │   ├── .claude-plugin/plugin.json
 │   │   ├── commands/             # 2 commands
 │   │   └── agents/
+│   ├── data-platform/            # Data engineering (NEW v4.0.0)
+│   │   ├── .claude-plugin/plugin.json
+│   │   ├── .mcp.json
+│   │   ├── mcp-servers/          # pandas, postgresql, dbt MCPs
+│   │   ├── commands/             # 7 commands
+│   │   ├── hooks/                # SessionStart PostgreSQL check
+│   │   └── agents/               # 2 agents
+│   ├── viz-platform/             # Visualization (NEW v4.0.0)
+│   │   ├── .claude-plugin/plugin.json
+│   │   ├── .mcp.json
+│   │   ├── mcp-servers/          # viz-platform MCP
+│   │   ├── commands/             # 7 commands
+│   │   ├── hooks/                # SessionStart DMC check
+│   │   └── agents/               # 3 agents
 │   ├── doc-guardian/             # Documentation drift detection
 │   ├── code-sentinel/            # Security scanning & refactoring
 │   ├── claude-config-maintainer/
@@ -125,7 +150,9 @@ leo-claude-mktplace/
 │   └── project-hygiene/
 ├── scripts/
 │   ├── setup.sh, post-update.sh
-│   └── validate-marketplace.sh   # Marketplace compliance validation
+│   ├── validate-marketplace.sh   # Marketplace compliance validation
+│   ├── verify-hooks.sh           # Verify all hooks are command type
+│   └── check-venv.sh             # Check MCP server venvs exist
 └── docs/
     ├── CANONICAL-PATHS.md        # Single source of truth for paths
     └── CONFIGURATION.md          # Centralized configuration guide
@@ -146,6 +173,14 @@ leo-claude-mktplace/
 - **MCP server venv path**: `${CLAUDE_PLUGIN_ROOT}/mcp-servers/{name}/.venv/bin/python`
 - **CLI tools forbidden** - Use MCP tools exclusively (never `tea`, `gh`, etc.)
 
+#### ⚠️ plugin.json Format Rules (CRITICAL)
+- **Hooks in separate file** - Use `hooks/hooks.json` (auto-discovered), NOT inline in plugin.json
+- **NEVER reference hooks** - Don't add `"hooks": "..."` field to plugin.json at all
+- **Agents auto-discover** - NEVER add `"agents": ["./agents/"]` - .md files found automatically
+- **Always validate** - Run `./scripts/validate-marketplace.sh` before committing
+- **Working examples:** projman, pr-review, claude-config-maintainer all use `hooks/hooks.json`
+- See lesson: `lessons/patterns/plugin-manifest-validation---hooks-and-agents-format-requirements`
+
 ### Hooks (Valid Events Only)
 `PreToolUse`, `PostToolUse`, `UserPromptSubmit`, `SessionStart`, `SessionEnd`, `Notification`, `Stop`, `SubagentStop`, `PreCompact`
 
@@ -172,12 +207,12 @@ leo-claude-mktplace/
 
 | Category | Tools |
 |----------|-------|
-| Issues | `list_issues`, `get_issue`, `create_issue`, `update_issue`, `add_comment` |
+| Issues | `list_issues`, `get_issue`, `create_issue`, `update_issue`, `add_comment`, `aggregate_issues` |
-| Labels | `get_labels`, `suggest_labels`, `create_label` |
+| Labels | `get_labels`, `suggest_labels`, `create_label`, `create_label_smart` |
-| Milestones | `list_milestones`, `get_milestone`, `create_milestone`, `update_milestone` |
+| Milestones | `list_milestones`, `get_milestone`, `create_milestone`, `update_milestone`, `delete_milestone` |
-| Dependencies | `list_issue_dependencies`, `create_issue_dependency`, `get_execution_order` |
+| Dependencies | `list_issue_dependencies`, `create_issue_dependency`, `remove_issue_dependency`, `get_execution_order` |
-| Wiki | `list_wiki_pages`, `get_wiki_page`, `create_wiki_page`, `create_lesson`, `search_lessons` |
+| Wiki | `list_wiki_pages`, `get_wiki_page`, `create_wiki_page`, `update_wiki_page`, `create_lesson`, `search_lessons` |
-| **Pull Requests** | `list_pull_requests`, `get_pull_request`, `get_pr_diff`, `get_pr_comments`, `create_pr_review`, `add_pr_comment` *(NEW v3.0.0)* |
+| **Pull Requests** | `list_pull_requests`, `get_pull_request`, `get_pr_diff`, `get_pr_comments`, `create_pr_review`, `add_pr_comment` |
 | Validation | `validate_repo_org`, `get_branch_protection` |
 
 ### Hybrid Configuration
@@ -286,13 +321,56 @@ See `docs/DEBUGGING-CHECKLIST.md` for systematic troubleshooting.
 - `/debug-report` - Run full diagnostics, create issue if needed
 - `/debug-review` - Investigate and propose fixes
 
-## Versioning Rules
+## Versioning Workflow
 
-- Version displayed ONLY in main `README.md` title: `# Leo Claude Marketplace - vX.Y.Z`
+This project follows [SemVer](https://semver.org/) and [Keep a Changelog](https://keepachangelog.com).
-- `CHANGELOG.md` is authoritative for version history
+
-- Follow [SemVer](https://semver.org/): MAJOR.MINOR.PATCH
+### Version Locations (must stay in sync)
-- On release: Update README title → CHANGELOG → marketplace.json → plugin.json files
+
+| Location | Format | Example |
+|----------|--------|---------|
+| Git tags | `vX.Y.Z` | `v3.2.0` |
+| README.md title | `# Leo Claude Marketplace - vX.Y.Z` | `v3.2.0` |
+| marketplace.json | `"version": "X.Y.Z"` | `3.2.0` |
+| CHANGELOG.md | `## [X.Y.Z] - YYYY-MM-DD` | `[3.2.0] - 2026-01-24` |
+
+### During Development
+
+**All changes go under `[Unreleased]` in CHANGELOG.md.** Never create a versioned section until release time.
+
+```markdown
+## [Unreleased]
+
+### Added
+- New feature description
+
+### Fixed
+- Bug fix description
+```
+
+### Creating a Release
+
+Use the release script to ensure consistency:
+
+```bash
+./scripts/release.sh 3.2.0
+```
+
+The script will:
+1. Validate `[Unreleased]` section has content
+2. Replace `[Unreleased]` with `[3.2.0] - YYYY-MM-DD`
+3. Update README.md title
+4. Update marketplace.json version
+5. Commit and create git tag
+
+### SemVer Guidelines
+
+| Change Type | Version Bump | Example |
+|-------------|--------------|---------|
+| Bug fixes only | PATCH (x.y.**Z**) | 3.1.1 → 3.1.2 |
+| New features (backwards compatible) | MINOR (x.**Y**.0) | 3.1.2 → 3.2.0 |
+| Breaking changes | MAJOR (**X**.0.0) | 3.2.0 → 4.0.0 |
 
 ---
 
-**Last Updated:** 2026-01-23
+**Last Updated:** 2026-01-24

README.md

@@ -1,4 +1,4 @@
-# Leo Claude Marketplace - v3.1.1
+# Leo Claude Marketplace - v4.1.0
 
 A collection of Claude Code plugins for project management, infrastructure automation, and development workflows.
 
@@ -96,6 +96,21 @@ Full CRUD operations for network infrastructure management directly from Claude
 
 **Commands:** `/initial-setup`, `/cmdb-search`, `/cmdb-device`, `/cmdb-ip`, `/cmdb-site`
 
+### Data Engineering
+
+#### [data-platform](./plugins/data-platform/README.md) *NEW*
+**pandas, PostgreSQL/PostGIS, and dbt Integration**
+
+Comprehensive data engineering toolkit with persistent DataFrame storage.
+
+- 14 pandas tools with Arrow IPC data_ref system
+- 10 PostgreSQL/PostGIS tools with connection pooling
+- 8 dbt tools with automatic pre-validation
+- 100k row limit with chunking support
+- Auto-detection of dbt projects
+
+**Commands:** `/ingest`, `/profile`, `/schema`, `/explain`, `/lineage`, `/run`
+
 ## MCP Servers
 
 MCP servers are **shared at repository root** with **symlinks** from plugins that use them.
@@ -106,11 +121,11 @@ Full Gitea API integration for project management.
 
 | Category | Tools |
 |----------|-------|
-| Issues | `list_issues`, `get_issue`, `create_issue`, `update_issue`, `add_comment` |
+| Issues | `list_issues`, `get_issue`, `create_issue`, `update_issue`, `add_comment`, `aggregate_issues` |
-| Labels | `get_labels`, `suggest_labels`, `create_label` |
+| Labels | `get_labels`, `suggest_labels`, `create_label`, `create_label_smart` |
-| Wiki | `list_wiki_pages`, `get_wiki_page`, `create_wiki_page`, `create_lesson`, `search_lessons` |
+| Wiki | `list_wiki_pages`, `get_wiki_page`, `create_wiki_page`, `update_wiki_page`, `create_lesson`, `search_lessons` |
-| Milestones | `list_milestones`, `get_milestone`, `create_milestone`, `update_milestone` |
+| Milestones | `list_milestones`, `get_milestone`, `create_milestone`, `update_milestone`, `delete_milestone` |
-| Dependencies | `list_issue_dependencies`, `create_issue_dependency`, `get_execution_order` |
+| Dependencies | `list_issue_dependencies`, `create_issue_dependency`, `remove_issue_dependency`, `get_execution_order` |
 | **Pull Requests** | `list_pull_requests`, `get_pull_request`, `get_pr_diff`, `get_pr_comments`, `create_pr_review`, `add_pr_comment` *(NEW in v3.0.0)* |
 | Validation | `validate_repo_org`, `get_branch_protection` |
 
@@ -126,6 +141,17 @@ Comprehensive NetBox REST API integration for infrastructure management.
 | Virtualization | Clusters, VMs, Interfaces |
 | Extras | Tags, Custom Fields, Audit Log |
 
+### Data Platform MCP Server (shared) *NEW*
+
+pandas, PostgreSQL/PostGIS, and dbt integration for data engineering.
+
+| Category | Tools |
+|----------|-------|
+| pandas | `read_csv`, `read_parquet`, `read_json`, `to_csv`, `to_parquet`, `describe`, `head`, `tail`, `filter`, `select`, `groupby`, `join`, `list_data`, `drop_data` |
+| PostgreSQL | `pg_connect`, `pg_query`, `pg_execute`, `pg_tables`, `pg_columns`, `pg_schemas` |
+| PostGIS | `st_tables`, `st_geometry_type`, `st_srid`, `st_extent` |
+| dbt | `dbt_parse`, `dbt_run`, `dbt_test`, `dbt_build`, `dbt_compile`, `dbt_ls`, `dbt_docs_generate`, `dbt_lineage` |
+
 ## Installation
 
 ### Prerequisites
@@ -222,6 +248,7 @@ After installing plugins, the `/plugin` command may show `(no content)` - this i
 | code-sentinel | `/code-sentinel:security-scan` |
 | claude-config-maintainer | `/claude-config-maintainer:config-analyze` |
 | cmdb-assistant | `/cmdb-assistant:cmdb-search` |
+| data-platform | `/data-platform:ingest` |
 
 ## Repository Structure
 
@@ -231,12 +258,14 @@ leo-claude-mktplace/
 │   └── marketplace.json
 ├── mcp-servers/                   # SHARED MCP servers (v3.0.0+)
 │   ├── gitea/                     # Gitea MCP (issues, PRs, wiki)
-│   └── netbox/                    # NetBox MCP (CMDB)
+│   ├── netbox/                    # NetBox MCP (CMDB)
+│   └── data-platform/             # Data engineering (pandas, PostgreSQL, dbt)
 ├── plugins/                       # All plugins
 │   ├── projman/                   # Sprint management
-│   ├── git-flow/                  # Git workflow automation (NEW)
+│   ├── git-flow/                  # Git workflow automation
-│   ├── pr-review/                 # PR review (NEW)
+│   ├── pr-review/                 # PR review
-│   ├── clarity-assist/            # Prompt optimization (NEW)
+│   ├── clarity-assist/            # Prompt optimization
+│   ├── data-platform/             # Data engineering (NEW)
 │   ├── claude-config-maintainer/  # CLAUDE.md optimization
 │   ├── cmdb-assistant/            # NetBox CMDB integration
 │   ├── doc-guardian/              # Documentation drift detection
@@ -245,7 +274,8 @@ leo-claude-mktplace/
 ├── docs/                          # Documentation
 │   ├── CANONICAL-PATHS.md         # Path reference
 │   └── CONFIGURATION.md           # Setup guide
-└── scripts/                       # Setup scripts
+├── scripts/                       # Setup scripts
+└── CHANGELOG.md                   # Version history
 ```
 
 ## Documentation

docs/COMMANDS-CHEATSHEET.md

@@ -22,6 +22,7 @@ Quick reference for all commands in the Leo Claude Marketplace.
 | **projman** | `/test-gen` | | X | Generate comprehensive tests for specified code |
 | **projman** | `/debug-report` | | X | Run diagnostics and create structured issue in marketplace |
 | **projman** | `/debug-review` | | X | Investigate diagnostic issues and propose fixes with approval gates |
+| **projman** | `/suggest-version` | | X | Analyze CHANGELOG and recommend semantic version bump |
 | **git-flow** | `/commit` | | X | Create commit with auto-generated conventional message |
 | **git-flow** | `/commit-push` | | X | Commit and push to remote in one operation |
 | **git-flow** | `/commit-merge` | | X | Commit current changes, then merge into target branch |
@@ -55,6 +56,14 @@ Quick reference for all commands in the Leo Claude Marketplace.
 | **cmdb-assistant** | `/cmdb-ip` | | X | Manage IP addresses and prefixes |
 | **cmdb-assistant** | `/cmdb-site` | | X | Manage sites, locations, racks, and regions |
 | **project-hygiene** | *PostToolUse hook* | X | | Removes temp files, warns about unexpected root files |
+| **data-platform** | `/ingest` | | X | Load data from CSV, Parquet, JSON into DataFrame |
+| **data-platform** | `/profile` | | X | Generate data profiling report with statistics |
+| **data-platform** | `/schema` | | X | Explore database schemas, tables, columns |
+| **data-platform** | `/explain` | | X | Explain query execution plan |
+| **data-platform** | `/lineage` | | X | Show dbt model lineage and dependencies |
+| **data-platform** | `/run` | | X | Run dbt models with validation |
+| **data-platform** | `/initial-setup` | | X | Setup wizard for data-platform MCP servers |
+| **data-platform** | *SessionStart hook* | X | | Checks PostgreSQL connection (non-blocking warning) |
 
 ---
 
@@ -62,12 +71,13 @@ Quick reference for all commands in the Leo Claude Marketplace.
 
 | Category | Plugins | Primary Use |
 |----------|---------|-------------|
-| **Setup** | projman, pr-review, cmdb-assistant | `/initial-setup`, `/project-init` |
+| **Setup** | projman, pr-review, cmdb-assistant, data-platform | `/initial-setup`, `/project-init` |
 | **Task Planning** | projman, clarity-assist | Sprint management, requirement clarification |
 | **Code Quality** | code-sentinel, pr-review | Security scanning, PR reviews |
 | **Documentation** | doc-guardian, claude-config-maintainer | Doc sync, CLAUDE.md maintenance |
 | **Git Operations** | git-flow | Commits, branches, workflow automation |
 | **Infrastructure** | cmdb-assistant | NetBox CMDB management |
+| **Data Engineering** | data-platform | pandas, PostgreSQL, dbt operations |
 | **Maintenance** | project-hygiene | Automatic cleanup |
 
 ---
@@ -76,11 +86,12 @@ Quick reference for all commands in the Leo Claude Marketplace.
 
 | Plugin | Hook Event | Behavior |
 |--------|------------|----------|
-| **projman** | SessionStart | Checks git remote vs .env; warns if mismatch detected |
+| **projman** | SessionStart | Checks git remote vs .env; warns if mismatch detected; suggests sprint planning if issues exist |
 | **pr-review** | SessionStart | Checks git remote vs .env; warns if mismatch detected |
-| **doc-guardian** | PostToolUse (Write/Edit) | Silently tracks documentation drift |
+| **doc-guardian** | PostToolUse (Write/Edit) | Tracks documentation drift; auto-updates dependent docs |
 | **code-sentinel** | PreToolUse (Write/Edit) | Scans for security issues; blocks critical vulnerabilities |
 | **project-hygiene** | PostToolUse (Write/Edit) | Cleans temp files, warns about misplaced files |
+| **data-platform** | SessionStart | Checks PostgreSQL connection; non-blocking warning if unavailable |
 
 ---
 
@@ -162,6 +173,19 @@ Managing infrastructure with CMDB:
 4. /cmdb-site view Y         # Check site info
 ```
 
+### Example 6b: Data Engineering Workflow
+
+Working with data pipelines:
+
+```
+1. /ingest file.csv          # Load data into DataFrame
+2. /profile                  # Generate data profiling report
+3. /schema                   # Explore database schemas
+4. /lineage model_name       # View dbt model dependencies
+5. /run model_name           # Execute dbt models
+6. /explain "SELECT ..."     # Analyze query execution plan
+```
+
 ### Example 7: First-Time Setup (New Machine)
 
 Setting up the marketplace for the first time:
@@ -209,9 +233,10 @@ Some plugins require MCP server connectivity:
 | projman | Gitea | Issues, PRs, wiki, labels, milestones |
 | pr-review | Gitea | PR operations and reviews |
 | cmdb-assistant | NetBox | Infrastructure CMDB |
+| data-platform | pandas, PostgreSQL, dbt | DataFrames, database queries, dbt builds |
 
-Ensure credentials are configured in `~/.config/claude/gitea.env` or `~/.config/claude/netbox.env`.
+Ensure credentials are configured in `~/.config/claude/gitea.env`, `~/.config/claude/netbox.env`, or `~/.config/claude/postgres.env`.
 
 ---
 
-*Last Updated: 2026-01-22*
+*Last Updated: 2026-01-25*

docs/DEBUGGING-CHECKLIST.md

@@ -197,6 +197,51 @@ echo -e "\n=== Config Files ==="
 
 ---
 
+## Cache Clearing: When It's Safe vs Destructive
+
+**⚠️ CRITICAL: Never clear plugin cache mid-session.**
+
+### Why Cache Clearing Breaks MCP Tools
+
+When Claude Code starts a session:
+1. MCP tools are loaded from the cache directory
+2. Tool definitions include **absolute paths** to the venv (e.g., `~/.claude/plugins/cache/.../venv/`)
+3. These paths are cached in the session memory
+4. Deleting the cache removes the venv, but the session still references the old paths
+5. Any MCP tool making HTTP requests fails with TLS certificate errors
+
+### When Cache Clearing is SAFE
+
+| Scenario | Safe? | Action |
+|----------|-------|--------|
+| Before starting Claude Code | ✅ Yes | Clear cache, then start session |
+| Between sessions | ✅ Yes | Clear cache after `/exit`, before next session |
+| During a session | ❌ NO | Never - will break MCP tools |
+| After plugin source edits | ❌ NO | Restart session instead |
+
+### Recovery: MCP Tools Broken Mid-Session
+
+If you accidentally cleared cache during a session and MCP tools fail:
+
+```
+Error: Could not find a suitable TLS CA certificate bundle, invalid path:
+/home/.../.claude/plugins/cache/.../certifi/cacert.pem
+```
+
+**Fix:**
+1. Exit the current session (`/exit` or Ctrl+C)
+2. Start a new Claude Code session
+3. MCP tools will reload from the reinstalled cache
+
+### Correct Workflow for Plugin Development
+
+1. Make changes to plugin source files
+2. Run `./scripts/verify-hooks.sh` (verifies hook types)
+3. Tell user: "Please restart Claude Code for changes to take effect"
+4. **Do NOT clear cache** - session restart handles reloading
+
+---
+
 ## Automated Diagnostics
 
 Use these commands for automated checking:

mcp-servers/data-platform/README.md

@@ -0,0 +1,131 @@
+# Data Platform MCP Server
+
+MCP Server providing pandas, PostgreSQL/PostGIS, and dbt tools for Claude Code.
+
+## Features
+
+- **pandas Tools**: DataFrame operations with Arrow IPC data_ref persistence
+- **PostgreSQL Tools**: Database queries with asyncpg connection pooling
+- **PostGIS Tools**: Spatial data operations
+- **dbt Tools**: Build tool wrapper with pre-execution validation
+
+## Installation
+
+```bash
+cd mcp-servers/data-platform
+python -m venv .venv
+source .venv/bin/activate  # On Windows: .venv\Scripts\activate
+pip install -r requirements.txt
+```
+
+## Configuration
+
+### System-Level (PostgreSQL credentials)
+
+Create `~/.config/claude/postgres.env`:
+
+```env
+POSTGRES_URL=postgresql://user:password@host:5432/database
+```
+
+### Project-Level (dbt paths)
+
+Create `.env` in your project root:
+
+```env
+DBT_PROJECT_DIR=/path/to/dbt/project
+DBT_PROFILES_DIR=/path/to/.dbt
+DATA_PLATFORM_MAX_ROWS=100000
+```
+
+## Tools
+
+### pandas Tools (14 tools)
+
+| Tool | Description |
+|------|-------------|
+| `read_csv` | Load CSV file into DataFrame |
+| `read_parquet` | Load Parquet file into DataFrame |
+| `read_json` | Load JSON/JSONL file into DataFrame |
+| `to_csv` | Export DataFrame to CSV file |
+| `to_parquet` | Export DataFrame to Parquet file |
+| `describe` | Get statistical summary of DataFrame |
+| `head` | Get first N rows of DataFrame |
+| `tail` | Get last N rows of DataFrame |
+| `filter` | Filter DataFrame rows by condition |
+| `select` | Select specific columns from DataFrame |
+| `groupby` | Group DataFrame and aggregate |
+| `join` | Join two DataFrames |
+| `list_data` | List all stored DataFrames |
+| `drop_data` | Remove a DataFrame from storage |
+
+### PostgreSQL Tools (6 tools)
+
+| Tool | Description |
+|------|-------------|
+| `pg_connect` | Test connection and return status |
+| `pg_query` | Execute SELECT, return as data_ref |
+| `pg_execute` | Execute INSERT/UPDATE/DELETE |
+| `pg_tables` | List all tables in schema |
+| `pg_columns` | Get column info for table |
+| `pg_schemas` | List all schemas |
+
+### PostGIS Tools (4 tools)
+
+| Tool | Description |
+|------|-------------|
+| `st_tables` | List PostGIS-enabled tables |
+| `st_geometry_type` | Get geometry type of column |
+| `st_srid` | Get SRID of geometry column |
+| `st_extent` | Get bounding box of geometries |
+
+### dbt Tools (8 tools)
+
+| Tool | Description |
+|------|-------------|
+| `dbt_parse` | Validate project (pre-execution) |
+| `dbt_run` | Run models with selection |
+| `dbt_test` | Run tests |
+| `dbt_build` | Run + test |
+| `dbt_compile` | Compile SQL without executing |
+| `dbt_ls` | List resources |
+| `dbt_docs_generate` | Generate documentation |
+| `dbt_lineage` | Get model dependencies |
+
+## data_ref System
+
+All DataFrame operations use a `data_ref` system to persist data across tool calls:
+
+1. **Load data**: Returns a `data_ref` string (e.g., `"df_a1b2c3d4"`)
+2. **Use data_ref**: Pass to other tools (filter, join, export)
+3. **List data**: Use `list_data` to see all stored DataFrames
+4. **Clean up**: Use `drop_data` when done
+
+### Example Flow
+
+```
+read_csv("data.csv") → {"data_ref": "sales_data", "rows": 1000}
+filter("sales_data", "amount > 100") → {"data_ref": "sales_data_filtered"}
+describe("sales_data_filtered") → {statistics}
+to_parquet("sales_data_filtered", "output.parquet") → {success}
+```
+
+## Memory Management
+
+- Default row limit: 100,000 rows per DataFrame
+- Configure via `DATA_PLATFORM_MAX_ROWS` environment variable
+- Use chunked processing for large files (`chunk_size` parameter)
+- Monitor with `list_data` tool (shows memory usage)
+
+## Running
+
+```bash
+python -m mcp_server.server
+```
+
+## Development
+
+```bash
+pip install -e ".[dev]"
+pytest
+```

mcp-servers/data-platform/mcp_server/__init__.py

@@ -0,0 +1,7 @@
+"""
+Data Platform MCP Server.
+
+Provides pandas, PostgreSQL/PostGIS, and dbt tools to Claude Code via MCP.
+"""
+
+__version__ = "1.0.0"

mcp-servers/data-platform/mcp_server/config.py

@@ -0,0 +1,195 @@
+"""
+Configuration loader for Data Platform MCP Server.
+
+Implements hybrid configuration system:
+- System-level: ~/.config/claude/postgres.env (credentials)
+- Project-level: .env (dbt project paths, overrides)
+- Auto-detection: dbt_project.yml discovery
+"""
+from pathlib import Path
+from dotenv import load_dotenv
+import os
+import logging
+from typing import Dict, Optional
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+class DataPlatformConfig:
+    """Hybrid configuration loader for data platform tools"""
+
+    def __init__(self):
+        self.postgres_url: Optional[str] = None
+        self.dbt_project_dir: Optional[str] = None
+        self.dbt_profiles_dir: Optional[str] = None
+        self.max_rows: int = 100_000
+
+    def load(self) -> Dict[str, Optional[str]]:
+        """
+        Load configuration from system and project levels.
+
+        Returns:
+            Dict containing postgres_url, dbt_project_dir, dbt_profiles_dir, max_rows
+
+        Note:
+            PostgreSQL credentials are optional - server can run in pandas-only mode.
+        """
+        # Load system config (PostgreSQL credentials)
+        system_config = Path.home() / '.config' / 'claude' / 'postgres.env'
+        if system_config.exists():
+            load_dotenv(system_config)
+            logger.info(f"Loaded system configuration from {system_config}")
+        else:
+            logger.info(
+                f"System config not found: {system_config} - "
+                "PostgreSQL tools will be unavailable"
+            )
+
+        # Find project directory
+        project_dir = self._find_project_directory()
+
+        # Load project config (overrides system)
+        if project_dir:
+            project_config = project_dir / '.env'
+            if project_config.exists():
+                load_dotenv(project_config, override=True)
+                logger.info(f"Loaded project configuration from {project_config}")
+
+        # Extract values
+        self.postgres_url = os.getenv('POSTGRES_URL')
+        self.dbt_project_dir = os.getenv('DBT_PROJECT_DIR')
+        self.dbt_profiles_dir = os.getenv('DBT_PROFILES_DIR')
+        self.max_rows = int(os.getenv('DATA_PLATFORM_MAX_ROWS', '100000'))
+
+        # Auto-detect dbt project if not specified
+        if not self.dbt_project_dir and project_dir:
+            self.dbt_project_dir = self._find_dbt_project(project_dir)
+            if self.dbt_project_dir:
+                logger.info(f"Auto-detected dbt project: {self.dbt_project_dir}")
+
+        # Default dbt profiles dir to ~/.dbt
+        if not self.dbt_profiles_dir:
+            default_profiles = Path.home() / '.dbt'
+            if default_profiles.exists():
+                self.dbt_profiles_dir = str(default_profiles)
+
+        return {
+            'postgres_url': self.postgres_url,
+            'dbt_project_dir': self.dbt_project_dir,
+            'dbt_profiles_dir': self.dbt_profiles_dir,
+            'max_rows': self.max_rows,
+            'postgres_available': self.postgres_url is not None,
+            'dbt_available': self.dbt_project_dir is not None
+        }
+
+    def _find_project_directory(self) -> Optional[Path]:
+        """
+        Find the user's project directory.
+
+        Returns:
+            Path to project directory, or None if not found
+        """
+        # Strategy 1: Check CLAUDE_PROJECT_DIR environment variable
+        project_dir = os.getenv('CLAUDE_PROJECT_DIR')
+        if project_dir:
+            path = Path(project_dir)
+            if path.exists():
+                logger.info(f"Found project directory from CLAUDE_PROJECT_DIR: {path}")
+                return path
+
+        # Strategy 2: Check PWD
+        pwd = os.getenv('PWD')
+        if pwd:
+            path = Path(pwd)
+            if path.exists() and (
+                (path / '.git').exists() or
+                (path / '.env').exists() or
+                (path / 'dbt_project.yml').exists()
+            ):
+                logger.info(f"Found project directory from PWD: {path}")
+                return path
+
+        # Strategy 3: Check current working directory
+        cwd = Path.cwd()
+        if (cwd / '.git').exists() or (cwd / '.env').exists() or (cwd / 'dbt_project.yml').exists():
+            logger.info(f"Found project directory from cwd: {cwd}")
+            return cwd
+
+        logger.debug("Could not determine project directory")
+        return None
+
+    def _find_dbt_project(self, start_dir: Path) -> Optional[str]:
+        """
+        Find dbt_project.yml in the project or its subdirectories.
+
+        Args:
+            start_dir: Directory to start searching from
+
+        Returns:
+            Path to dbt project directory, or None if not found
+        """
+        # Check root
+        if (start_dir / 'dbt_project.yml').exists():
+            return str(start_dir)
+
+        # Check common subdirectories
+        for subdir in ['dbt', 'transform', 'analytics', 'models']:
+            candidate = start_dir / subdir
+            if (candidate / 'dbt_project.yml').exists():
+                return str(candidate)
+
+        # Search one level deep
+        for item in start_dir.iterdir():
+            if item.is_dir() and not item.name.startswith('.'):
+                if (item / 'dbt_project.yml').exists():
+                    return str(item)
+
+        return None
+
+
+def load_config() -> Dict[str, Optional[str]]:
+    """
+    Convenience function to load configuration.
+
+    Returns:
+        Configuration dictionary
+    """
+    config = DataPlatformConfig()
+    return config.load()
+
+
+def check_postgres_connection() -> Dict[str, any]:
+    """
+    Check PostgreSQL connection status for SessionStart hook.
+
+    Returns:
+        Dict with connection status and message
+    """
+    import asyncio
+
+    config = load_config()
+    if not config.get('postgres_url'):
+        return {
+            'connected': False,
+            'message': 'PostgreSQL not configured (POSTGRES_URL not set)'
+        }
+
+    async def test_connection():
+        try:
+            import asyncpg
+            conn = await asyncpg.connect(config['postgres_url'], timeout=5)
+            version = await conn.fetchval('SELECT version()')
+            await conn.close()
+            return {
+                'connected': True,
+                'message': f'Connected to PostgreSQL',
+                'version': version.split(',')[0] if version else 'Unknown'
+            }
+        except Exception as e:
+            return {
+                'connected': False,
+                'message': f'PostgreSQL connection failed: {str(e)}'
+            }
+
+    return asyncio.run(test_connection())

mcp-servers/data-platform/mcp_server/data_store.py

@@ -0,0 +1,219 @@
+"""
+Arrow IPC DataFrame Registry.
+
+Provides persistent storage for DataFrames across tool calls using Apache Arrow
+for efficient memory management and serialization.
+"""
+import pyarrow as pa
+import pandas as pd
+import uuid
+import logging
+from typing import Dict, Optional, List, Union
+from dataclasses import dataclass
+from datetime import datetime
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class DataFrameInfo:
+    """Metadata about a stored DataFrame"""
+    ref: str
+    rows: int
+    columns: int
+    column_names: List[str]
+    dtypes: Dict[str, str]
+    memory_bytes: int
+    created_at: datetime
+    source: Optional[str] = None
+
+
+class DataStore:
+    """
+    Singleton registry for Arrow Tables (DataFrames).
+
+    Uses Arrow IPC format for efficient memory usage and supports
+    data_ref based retrieval across multiple tool calls.
+    """
+    _instance = None
+    _dataframes: Dict[str, pa.Table] = {}
+    _metadata: Dict[str, DataFrameInfo] = {}
+    _max_rows: int = 100_000
+
+    def __new__(cls):
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+            cls._dataframes = {}
+            cls._metadata = {}
+        return cls._instance
+
+    @classmethod
+    def get_instance(cls) -> 'DataStore':
+        """Get the singleton instance"""
+        if cls._instance is None:
+            cls._instance = cls()
+        return cls._instance
+
+    @classmethod
+    def set_max_rows(cls, max_rows: int):
+        """Set the maximum rows limit"""
+        cls._max_rows = max_rows
+
+    def store(
+        self,
+        data: Union[pa.Table, pd.DataFrame],
+        name: Optional[str] = None,
+        source: Optional[str] = None
+    ) -> str:
+        """
+        Store a DataFrame and return its reference.
+
+        Args:
+            data: Arrow Table or pandas DataFrame
+            name: Optional name for the reference (auto-generated if not provided)
+            source: Optional source description (e.g., file path, query)
+
+        Returns:
+            data_ref string to retrieve the DataFrame later
+        """
+        # Convert pandas to Arrow if needed
+        if isinstance(data, pd.DataFrame):
+            table = pa.Table.from_pandas(data)
+        else:
+            table = data
+
+        # Generate reference
+        data_ref = name or f"df_{uuid.uuid4().hex[:8]}"
+
+        # Ensure unique reference
+        if data_ref in self._dataframes and name is None:
+            data_ref = f"{data_ref}_{uuid.uuid4().hex[:4]}"
+
+        # Store table
+        self._dataframes[data_ref] = table
+
+        # Store metadata
+        schema = table.schema
+        self._metadata[data_ref] = DataFrameInfo(
+            ref=data_ref,
+            rows=table.num_rows,
+            columns=table.num_columns,
+            column_names=[f.name for f in schema],
+            dtypes={f.name: str(f.type) for f in schema},
+            memory_bytes=table.nbytes,
+            created_at=datetime.now(),
+            source=source
+        )
+
+        logger.info(f"Stored DataFrame '{data_ref}': {table.num_rows} rows, {table.num_columns} cols")
+        return data_ref
+
+    def get(self, data_ref: str) -> Optional[pa.Table]:
+        """
+        Retrieve an Arrow Table by reference.
+
+        Args:
+            data_ref: Reference string from store()
+
+        Returns:
+            Arrow Table or None if not found
+        """
+        return self._dataframes.get(data_ref)
+
+    def get_pandas(self, data_ref: str) -> Optional[pd.DataFrame]:
+        """
+        Retrieve a DataFrame as pandas.
+
+        Args:
+            data_ref: Reference string from store()
+
+        Returns:
+            pandas DataFrame or None if not found
+        """
+        table = self.get(data_ref)
+        if table is not None:
+            return table.to_pandas()
+        return None
+
+    def get_info(self, data_ref: str) -> Optional[DataFrameInfo]:
+        """
+        Get metadata about a stored DataFrame.
+
+        Args:
+            data_ref: Reference string
+
+        Returns:
+            DataFrameInfo or None if not found
+        """
+        return self._metadata.get(data_ref)
+
+    def list_refs(self) -> List[Dict]:
+        """
+        List all stored DataFrame references with metadata.
+
+        Returns:
+            List of dicts with ref, rows, columns, memory info
+        """
+        result = []
+        for ref, info in self._metadata.items():
+            result.append({
+                'ref': ref,
+                'rows': info.rows,
+                'columns': info.columns,
+                'column_names': info.column_names,
+                'memory_mb': round(info.memory_bytes / (1024 * 1024), 2),
+                'source': info.source,
+                'created_at': info.created_at.isoformat()
+            })
+        return result
+
+    def drop(self, data_ref: str) -> bool:
+        """
+        Remove a DataFrame from the store.
+
+        Args:
+            data_ref: Reference string
+
+        Returns:
+            True if removed, False if not found
+        """
+        if data_ref in self._dataframes:
+            del self._dataframes[data_ref]
+            del self._metadata[data_ref]
+            logger.info(f"Dropped DataFrame '{data_ref}'")
+            return True
+        return False
+
+    def clear(self):
+        """Remove all stored DataFrames"""
+        count = len(self._dataframes)
+        self._dataframes.clear()
+        self._metadata.clear()
+        logger.info(f"Cleared {count} DataFrames from store")
+
+    def total_memory_bytes(self) -> int:
+        """Get total memory used by all stored DataFrames"""
+        return sum(info.memory_bytes for info in self._metadata.values())
+
+    def total_memory_mb(self) -> float:
+        """Get total memory in MB"""
+        return round(self.total_memory_bytes() / (1024 * 1024), 2)
+
+    def check_row_limit(self, row_count: int) -> Dict:
+        """
+        Check if row count exceeds limit.
+
+        Args:
+            row_count: Number of rows
+
+        Returns:
+            Dict with 'exceeded' bool and 'message' if exceeded
+        """
+        if row_count > self._max_rows:
+            return {
+                'exceeded': True,
+                'message': f"Row count ({row_count:,}) exceeds limit ({self._max_rows:,})",
+                'suggestion': f"Use chunked processing or filter data first",
+                'limit': self._max_rows
+            }
+        return {'exceeded': False}

mcp-servers/data-platform/mcp_server/dbt_tools.py

@@ -0,0 +1,387 @@
+"""
+dbt MCP Tools.
+
+Provides dbt CLI wrapper with pre-execution validation.
+"""
+import subprocess
+import json
+import logging
+import os
+from pathlib import Path
+from typing import Dict, List, Optional, Any
+
+from .config import load_config
+
+logger = logging.getLogger(__name__)
+
+
+class DbtTools:
+    """dbt CLI wrapper tools with pre-validation"""
+
+    def __init__(self):
+        self.config = load_config()
+        self.project_dir = self.config.get('dbt_project_dir')
+        self.profiles_dir = self.config.get('dbt_profiles_dir')
+
+    def _get_dbt_command(self, cmd: List[str]) -> List[str]:
+        """Build dbt command with project and profiles directories"""
+        base = ['dbt']
+        if self.project_dir:
+            base.extend(['--project-dir', self.project_dir])
+        if self.profiles_dir:
+            base.extend(['--profiles-dir', self.profiles_dir])
+        base.extend(cmd)
+        return base
+
+    def _run_dbt(
+        self,
+        cmd: List[str],
+        timeout: int = 300,
+        capture_json: bool = False
+    ) -> Dict:
+        """
+        Run dbt command and return result.
+
+        Args:
+            cmd: dbt subcommand and arguments
+            timeout: Command timeout in seconds
+            capture_json: If True, parse JSON output
+
+        Returns:
+            Dict with command result
+        """
+        if not self.project_dir:
+            return {
+                'error': 'dbt project not found',
+                'suggestion': 'Set DBT_PROJECT_DIR in project .env or ensure dbt_project.yml exists'
+            }
+
+        full_cmd = self._get_dbt_command(cmd)
+        logger.info(f"Running: {' '.join(full_cmd)}")
+
+        try:
+            env = os.environ.copy()
+            # Disable dbt analytics/tracking
+            env['DBT_SEND_ANONYMOUS_USAGE_STATS'] = 'false'
+
+            result = subprocess.run(
+                full_cmd,
+                capture_output=True,
+                text=True,
+                timeout=timeout,
+                cwd=self.project_dir,
+                env=env
+            )
+
+            output = {
+                'success': result.returncode == 0,
+                'command': ' '.join(cmd),
+                'stdout': result.stdout,
+                'stderr': result.stderr if result.returncode != 0 else None
+            }
+
+            if capture_json and result.returncode == 0:
+                try:
+                    output['data'] = json.loads(result.stdout)
+                except json.JSONDecodeError:
+                    pass
+
+            return output
+
+        except subprocess.TimeoutExpired:
+            return {
+                'error': f'Command timed out after {timeout}s',
+                'command': ' '.join(cmd)
+            }
+        except FileNotFoundError:
+            return {
+                'error': 'dbt not found in PATH',
+                'suggestion': 'Install dbt: pip install dbt-core dbt-postgres'
+            }
+        except Exception as e:
+            logger.error(f"dbt command failed: {e}")
+            return {'error': str(e)}
+
+    async def dbt_parse(self) -> Dict:
+        """
+        Validate dbt project without executing (pre-flight check).
+
+        Returns:
+            Dict with validation result and any errors
+        """
+        result = self._run_dbt(['parse'])
+
+        # Check if _run_dbt returned an error (e.g., project not found, timeout, dbt not installed)
+        if 'error' in result:
+            return result
+
+        if not result.get('success'):
+            # Extract useful error info from stderr
+            stderr = result.get('stderr', '') or result.get('stdout', '')
+            errors = []
+
+            # Look for common dbt 1.9+ deprecation warnings
+            if 'deprecated' in stderr.lower():
+                errors.append({
+                    'type': 'deprecation',
+                    'message': 'Deprecated syntax found - check dbt 1.9+ migration guide'
+                })
+
+            # Look for compilation errors
+            if 'compilation error' in stderr.lower():
+                errors.append({
+                    'type': 'compilation',
+                    'message': 'SQL compilation error - check model syntax'
+                })
+
+            return {
+                'valid': False,
+                'errors': errors,
+                'details': stderr[:2000] if stderr else None,
+                'suggestion': 'Fix issues before running dbt models'
+            }
+
+        return {
+            'valid': True,
+            'message': 'dbt project validation passed'
+        }
+
+    async def dbt_run(
+        self,
+        select: Optional[str] = None,
+        exclude: Optional[str] = None,
+        full_refresh: bool = False
+    ) -> Dict:
+        """
+        Run dbt models with pre-validation.
+
+        Args:
+            select: Model selection (e.g., "model_name", "+model_name", "tag:daily")
+            exclude: Models to exclude
+            full_refresh: If True, rebuild incremental models
+
+        Returns:
+            Dict with run result
+        """
+        # ALWAYS validate first
+        parse_result = await self.dbt_parse()
+        if not parse_result.get('valid'):
+            return {
+                'error': 'Pre-validation failed',
+                **parse_result
+            }
+
+        cmd = ['run']
+        if select:
+            cmd.extend(['--select', select])
+        if exclude:
+            cmd.extend(['--exclude', exclude])
+        if full_refresh:
+            cmd.append('--full-refresh')
+
+        return self._run_dbt(cmd)
+
+    async def dbt_test(
+        self,
+        select: Optional[str] = None,
+        exclude: Optional[str] = None
+    ) -> Dict:
+        """
+        Run dbt tests.
+
+        Args:
+            select: Test selection
+            exclude: Tests to exclude
+
+        Returns:
+            Dict with test results
+        """
+        cmd = ['test']
+        if select:
+            cmd.extend(['--select', select])
+        if exclude:
+            cmd.extend(['--exclude', exclude])
+
+        return self._run_dbt(cmd)
+
+    async def dbt_build(
+        self,
+        select: Optional[str] = None,
+        exclude: Optional[str] = None,
+        full_refresh: bool = False
+    ) -> Dict:
+        """
+        Run dbt build (run + test) with pre-validation.
+
+        Args:
+            select: Model/test selection
+            exclude: Resources to exclude
+            full_refresh: If True, rebuild incremental models
+
+        Returns:
+            Dict with build result
+        """
+        # ALWAYS validate first
+        parse_result = await self.dbt_parse()
+        if not parse_result.get('valid'):
+            return {
+                'error': 'Pre-validation failed',
+                **parse_result
+            }
+
+        cmd = ['build']
+        if select:
+            cmd.extend(['--select', select])
+        if exclude:
+            cmd.extend(['--exclude', exclude])
+        if full_refresh:
+            cmd.append('--full-refresh')
+
+        return self._run_dbt(cmd)
+
+    async def dbt_compile(
+        self,
+        select: Optional[str] = None
+    ) -> Dict:
+        """
+        Compile dbt models to SQL without executing.
+
+        Args:
+            select: Model selection
+
+        Returns:
+            Dict with compiled SQL info
+        """
+        cmd = ['compile']
+        if select:
+            cmd.extend(['--select', select])
+
+        return self._run_dbt(cmd)
+
+    async def dbt_ls(
+        self,
+        select: Optional[str] = None,
+        resource_type: Optional[str] = None,
+        output: str = 'name'
+    ) -> Dict:
+        """
+        List dbt resources.
+
+        Args:
+            select: Resource selection
+            resource_type: Filter by type (model, test, seed, snapshot, source)
+            output: Output format ('name', 'path', 'json')
+
+        Returns:
+            Dict with list of resources
+        """
+        cmd = ['ls', '--output', output]
+        if select:
+            cmd.extend(['--select', select])
+        if resource_type:
+            cmd.extend(['--resource-type', resource_type])
+
+        result = self._run_dbt(cmd)
+
+        if result.get('success') and result.get('stdout'):
+            lines = [l.strip() for l in result['stdout'].split('\n') if l.strip()]
+            result['resources'] = lines
+            result['count'] = len(lines)
+
+        return result
+
+    async def dbt_docs_generate(self) -> Dict:
+        """
+        Generate dbt documentation.
+
+        Returns:
+            Dict with generation result
+        """
+        result = self._run_dbt(['docs', 'generate'])
+
+        if result.get('success') and self.project_dir:
+            # Check for generated catalog
+            catalog_path = Path(self.project_dir) / 'target' / 'catalog.json'
+            manifest_path = Path(self.project_dir) / 'target' / 'manifest.json'
+            result['catalog_generated'] = catalog_path.exists()
+            result['manifest_generated'] = manifest_path.exists()
+
+        return result
+
+    async def dbt_lineage(self, model: str) -> Dict:
+        """
+        Get model dependencies and lineage.
+
+        Args:
+            model: Model name to analyze
+
+        Returns:
+            Dict with upstream and downstream dependencies
+        """
+        if not self.project_dir:
+            return {'error': 'dbt project not found'}
+
+        manifest_path = Path(self.project_dir) / 'target' / 'manifest.json'
+
+        # Generate manifest if not exists
+        if not manifest_path.exists():
+            compile_result = await self.dbt_compile(select=model)
+            if not compile_result.get('success'):
+                return {
+                    'error': 'Failed to compile manifest',
+                    'details': compile_result
+                }
+
+        if not manifest_path.exists():
+            return {
+                'error': 'Manifest not found',
+                'suggestion': 'Run dbt compile first'
+            }
+
+        try:
+            with open(manifest_path) as f:
+                manifest = json.load(f)
+
+            # Find the model node
+            model_key = None
+            for key in manifest.get('nodes', {}):
+                if key.endswith(f'.{model}') or manifest['nodes'][key].get('name') == model:
+                    model_key = key
+                    break
+
+            if not model_key:
+                return {
+                    'error': f'Model not found: {model}',
+                    'available_models': [
+                        n.get('name') for n in manifest.get('nodes', {}).values()
+                        if n.get('resource_type') == 'model'
+                    ][:20]
+                }
+
+            node = manifest['nodes'][model_key]
+
+            # Get upstream (depends_on)
+            upstream = node.get('depends_on', {}).get('nodes', [])
+
+            # Get downstream (find nodes that depend on this one)
+            downstream = []
+            for key, other_node in manifest.get('nodes', {}).items():
+                deps = other_node.get('depends_on', {}).get('nodes', [])
+                if model_key in deps:
+                    downstream.append(key)
+
+            return {
+                'model': model,
+                'unique_id': model_key,
+                'materialization': node.get('config', {}).get('materialized'),
+                'schema': node.get('schema'),
+                'database': node.get('database'),
+                'upstream': upstream,
+                'downstream': downstream,
+                'description': node.get('description'),
+                'tags': node.get('tags', [])
+            }
+
+        except Exception as e:
+            logger.error(f"dbt_lineage failed: {e}")
+            return {'error': str(e)}

mcp-servers/data-platform/mcp_server/pandas_tools.py

@@ -0,0 +1,500 @@
+"""
+pandas MCP Tools.
+
+Provides DataFrame operations with Arrow IPC data_ref persistence.
+"""
+import pandas as pd
+import pyarrow as pa
+import pyarrow.parquet as pq
+import json
+import logging
+from pathlib import Path
+from typing import Dict, List, Optional, Any, Union
+
+from .data_store import DataStore
+from .config import load_config
+
+logger = logging.getLogger(__name__)
+
+
+class PandasTools:
+    """pandas data manipulation tools with data_ref persistence"""
+
+    def __init__(self):
+        self.store = DataStore.get_instance()
+        config = load_config()
+        self.max_rows = config.get('max_rows', 100_000)
+        self.store.set_max_rows(self.max_rows)
+
+    def _check_and_store(
+        self,
+        df: pd.DataFrame,
+        name: Optional[str] = None,
+        source: Optional[str] = None
+    ) -> Dict:
+        """Check row limit and store DataFrame if within limits"""
+        check = self.store.check_row_limit(len(df))
+        if check['exceeded']:
+            return {
+                'error': 'row_limit_exceeded',
+                **check,
+                'preview': df.head(100).to_dict(orient='records')
+            }
+
+        data_ref = self.store.store(df, name=name, source=source)
+        return {
+            'data_ref': data_ref,
+            'rows': len(df),
+            'columns': list(df.columns),
+            'dtypes': {col: str(dtype) for col, dtype in df.dtypes.items()}
+        }
+
+    async def read_csv(
+        self,
+        file_path: str,
+        name: Optional[str] = None,
+        chunk_size: Optional[int] = None,
+        **kwargs
+    ) -> Dict:
+        """
+        Load CSV file into DataFrame.
+
+        Args:
+            file_path: Path to CSV file
+            name: Optional name for data_ref
+            chunk_size: If provided, process in chunks
+            **kwargs: Additional pandas read_csv arguments
+
+        Returns:
+            Dict with data_ref or error info
+        """
+        path = Path(file_path)
+        if not path.exists():
+            return {'error': f'File not found: {file_path}'}
+
+        try:
+            if chunk_size:
+                # Chunked processing - return iterator info
+                chunks = []
+                for i, chunk in enumerate(pd.read_csv(path, chunksize=chunk_size, **kwargs)):
+                    chunk_ref = self.store.store(chunk, name=f"{name or 'chunk'}_{i}", source=file_path)
+                    chunks.append({'ref': chunk_ref, 'rows': len(chunk)})
+                return {
+                    'chunked': True,
+                    'chunks': chunks,
+                    'total_chunks': len(chunks)
+                }
+
+            df = pd.read_csv(path, **kwargs)
+            return self._check_and_store(df, name=name, source=file_path)
+
+        except Exception as e:
+            logger.error(f"read_csv failed: {e}")
+            return {'error': str(e)}
+
+    async def read_parquet(
+        self,
+        file_path: str,
+        name: Optional[str] = None,
+        columns: Optional[List[str]] = None
+    ) -> Dict:
+        """
+        Load Parquet file into DataFrame.
+
+        Args:
+            file_path: Path to Parquet file
+            name: Optional name for data_ref
+            columns: Optional list of columns to load
+
+        Returns:
+            Dict with data_ref or error info
+        """
+        path = Path(file_path)
+        if not path.exists():
+            return {'error': f'File not found: {file_path}'}
+
+        try:
+            table = pq.read_table(path, columns=columns)
+            df = table.to_pandas()
+            return self._check_and_store(df, name=name, source=file_path)
+
+        except Exception as e:
+            logger.error(f"read_parquet failed: {e}")
+            return {'error': str(e)}
+
+    async def read_json(
+        self,
+        file_path: str,
+        name: Optional[str] = None,
+        lines: bool = False,
+        **kwargs
+    ) -> Dict:
+        """
+        Load JSON/JSONL file into DataFrame.
+
+        Args:
+            file_path: Path to JSON file
+            name: Optional name for data_ref
+            lines: If True, read as JSON Lines format
+            **kwargs: Additional pandas read_json arguments
+
+        Returns:
+            Dict with data_ref or error info
+        """
+        path = Path(file_path)
+        if not path.exists():
+            return {'error': f'File not found: {file_path}'}
+
+        try:
+            df = pd.read_json(path, lines=lines, **kwargs)
+            return self._check_and_store(df, name=name, source=file_path)
+
+        except Exception as e:
+            logger.error(f"read_json failed: {e}")
+            return {'error': str(e)}
+
+    async def to_csv(
+        self,
+        data_ref: str,
+        file_path: str,
+        index: bool = False,
+        **kwargs
+    ) -> Dict:
+        """
+        Export DataFrame to CSV file.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+            file_path: Output file path
+            index: Whether to include index
+            **kwargs: Additional pandas to_csv arguments
+
+        Returns:
+            Dict with success status
+        """
+        df = self.store.get_pandas(data_ref)
+        if df is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            df.to_csv(file_path, index=index, **kwargs)
+            return {
+                'success': True,
+                'file_path': file_path,
+                'rows': len(df),
+                'size_bytes': Path(file_path).stat().st_size
+            }
+        except Exception as e:
+            logger.error(f"to_csv failed: {e}")
+            return {'error': str(e)}
+
+    async def to_parquet(
+        self,
+        data_ref: str,
+        file_path: str,
+        compression: str = 'snappy'
+    ) -> Dict:
+        """
+        Export DataFrame to Parquet file.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+            file_path: Output file path
+            compression: Compression codec
+
+        Returns:
+            Dict with success status
+        """
+        table = self.store.get(data_ref)
+        if table is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            pq.write_table(table, file_path, compression=compression)
+            return {
+                'success': True,
+                'file_path': file_path,
+                'rows': table.num_rows,
+                'size_bytes': Path(file_path).stat().st_size
+            }
+        except Exception as e:
+            logger.error(f"to_parquet failed: {e}")
+            return {'error': str(e)}
+
+    async def describe(self, data_ref: str) -> Dict:
+        """
+        Get statistical summary of DataFrame.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+
+        Returns:
+            Dict with statistical summary
+        """
+        df = self.store.get_pandas(data_ref)
+        if df is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            desc = df.describe(include='all')
+            info = self.store.get_info(data_ref)
+
+            return {
+                'data_ref': data_ref,
+                'shape': {'rows': len(df), 'columns': len(df.columns)},
+                'columns': list(df.columns),
+                'dtypes': {col: str(dtype) for col, dtype in df.dtypes.items()},
+                'memory_mb': info.memory_bytes / (1024 * 1024) if info else None,
+                'null_counts': df.isnull().sum().to_dict(),
+                'statistics': desc.to_dict()
+            }
+        except Exception as e:
+            logger.error(f"describe failed: {e}")
+            return {'error': str(e)}
+
+    async def head(self, data_ref: str, n: int = 10) -> Dict:
+        """
+        Get first N rows of DataFrame.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+            n: Number of rows
+
+        Returns:
+            Dict with rows as records
+        """
+        df = self.store.get_pandas(data_ref)
+        if df is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            head_df = df.head(n)
+            return {
+                'data_ref': data_ref,
+                'total_rows': len(df),
+                'returned_rows': len(head_df),
+                'columns': list(df.columns),
+                'data': head_df.to_dict(orient='records')
+            }
+        except Exception as e:
+            logger.error(f"head failed: {e}")
+            return {'error': str(e)}
+
+    async def tail(self, data_ref: str, n: int = 10) -> Dict:
+        """
+        Get last N rows of DataFrame.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+            n: Number of rows
+
+        Returns:
+            Dict with rows as records
+        """
+        df = self.store.get_pandas(data_ref)
+        if df is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            tail_df = df.tail(n)
+            return {
+                'data_ref': data_ref,
+                'total_rows': len(df),
+                'returned_rows': len(tail_df),
+                'columns': list(df.columns),
+                'data': tail_df.to_dict(orient='records')
+            }
+        except Exception as e:
+            logger.error(f"tail failed: {e}")
+            return {'error': str(e)}
+
+    async def filter(
+        self,
+        data_ref: str,
+        condition: str,
+        name: Optional[str] = None
+    ) -> Dict:
+        """
+        Filter DataFrame rows by condition.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+            condition: pandas query string (e.g., "age > 30 and city == 'NYC'")
+            name: Optional name for result data_ref
+
+        Returns:
+            Dict with new data_ref for filtered result
+        """
+        df = self.store.get_pandas(data_ref)
+        if df is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            filtered = df.query(condition)
+            result_name = name or f"{data_ref}_filtered"
+            return self._check_and_store(
+                filtered,
+                name=result_name,
+                source=f"filter({data_ref}, '{condition}')"
+            )
+        except Exception as e:
+            logger.error(f"filter failed: {e}")
+            return {'error': str(e)}
+
+    async def select(
+        self,
+        data_ref: str,
+        columns: List[str],
+        name: Optional[str] = None
+    ) -> Dict:
+        """
+        Select specific columns from DataFrame.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+            columns: List of column names to select
+            name: Optional name for result data_ref
+
+        Returns:
+            Dict with new data_ref for selected columns
+        """
+        df = self.store.get_pandas(data_ref)
+        if df is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            # Validate columns exist
+            missing = [c for c in columns if c not in df.columns]
+            if missing:
+                return {
+                    'error': f'Columns not found: {missing}',
+                    'available_columns': list(df.columns)
+                }
+
+            selected = df[columns]
+            result_name = name or f"{data_ref}_select"
+            return self._check_and_store(
+                selected,
+                name=result_name,
+                source=f"select({data_ref}, {columns})"
+            )
+        except Exception as e:
+            logger.error(f"select failed: {e}")
+            return {'error': str(e)}
+
+    async def groupby(
+        self,
+        data_ref: str,
+        by: Union[str, List[str]],
+        agg: Dict[str, Union[str, List[str]]],
+        name: Optional[str] = None
+    ) -> Dict:
+        """
+        Group DataFrame and aggregate.
+
+        Args:
+            data_ref: Reference to stored DataFrame
+            by: Column(s) to group by
+            agg: Aggregation dict (e.g., {"sales": "sum", "count": "mean"})
+            name: Optional name for result data_ref
+
+        Returns:
+            Dict with new data_ref for aggregated result
+        """
+        df = self.store.get_pandas(data_ref)
+        if df is None:
+            return {'error': f'DataFrame not found: {data_ref}'}
+
+        try:
+            grouped = df.groupby(by).agg(agg).reset_index()
+            # Flatten column names if multi-level
+            if isinstance(grouped.columns, pd.MultiIndex):
+                grouped.columns = ['_'.join(col).strip('_') for col in grouped.columns]
+
+            result_name = name or f"{data_ref}_grouped"
+            return self._check_and_store(
+                grouped,
+                name=result_name,
+                source=f"groupby({data_ref}, by={by})"
+            )
+        except Exception as e:
+            logger.error(f"groupby failed: {e}")
+            return {'error': str(e)}
+
+    async def join(
+        self,
+        left_ref: str,
+        right_ref: str,
+        on: Optional[Union[str, List[str]]] = None,
+        left_on: Optional[Union[str, List[str]]] = None,
+        right_on: Optional[Union[str, List[str]]] = None,
+        how: str = 'inner',
+        name: Optional[str] = None
+    ) -> Dict:
+        """
+        Join two DataFrames.
+
+        Args:
+            left_ref: Reference to left DataFrame
+            right_ref: Reference to right DataFrame
+            on: Column(s) to join on (if same name in both)
+            left_on: Left join column(s)
+            right_on: Right join column(s)
+            how: Join type ('inner', 'left', 'right', 'outer')
+            name: Optional name for result data_ref
+
+        Returns:
+            Dict with new data_ref for joined result
+        """
+        left_df = self.store.get_pandas(left_ref)
+        right_df = self.store.get_pandas(right_ref)
+
+        if left_df is None:
+            return {'error': f'DataFrame not found: {left_ref}'}
+        if right_df is None:
+            return {'error': f'DataFrame not found: {right_ref}'}
+
+        try:
+            joined = pd.merge(
+                left_df, right_df,
+                on=on, left_on=left_on, right_on=right_on,
+                how=how
+            )
+            result_name = name or f"{left_ref}_{right_ref}_joined"
+            return self._check_and_store(
+                joined,
+                name=result_name,
+                source=f"join({left_ref}, {right_ref}, how={how})"
+            )
+        except Exception as e:
+            logger.error(f"join failed: {e}")
+            return {'error': str(e)}
+
+    async def list_data(self) -> Dict:
+        """
+        List all stored DataFrames.
+
+        Returns:
+            Dict with list of stored DataFrames and their info
+        """
+        refs = self.store.list_refs()
+        return {
+            'count': len(refs),
+            'total_memory_mb': self.store.total_memory_mb(),
+            'max_rows_limit': self.max_rows,
+            'dataframes': refs
+        }
+
+    async def drop_data(self, data_ref: str) -> Dict:
+        """
+        Remove a DataFrame from storage.
+
+        Args:
+            data_ref: Reference to drop
+
+        Returns:
+            Dict with success status
+        """
+        if self.store.drop(data_ref):
+            return {'success': True, 'dropped': data_ref}
+        return {'error': f'DataFrame not found: {data_ref}'}

mcp-servers/data-platform/mcp_server/postgres_tools.py

@@ -0,0 +1,538 @@
+"""
+PostgreSQL/PostGIS MCP Tools.
+
+Provides database operations with connection pooling and PostGIS support.
+"""
+import asyncio
+import logging
+from typing import Dict, List, Optional, Any
+import json
+
+from .data_store import DataStore
+from .config import load_config
+
+logger = logging.getLogger(__name__)
+
+# Optional imports - gracefully handle missing dependencies
+try:
+    import asyncpg
+    ASYNCPG_AVAILABLE = True
+except ImportError:
+    ASYNCPG_AVAILABLE = False
+    logger.warning("asyncpg not available - PostgreSQL tools will be disabled")
+
+try:
+    import pandas as pd
+    PANDAS_AVAILABLE = True
+except ImportError:
+    PANDAS_AVAILABLE = False
+
+
+class PostgresTools:
+    """PostgreSQL/PostGIS database tools"""
+
+    def __init__(self):
+        self.store = DataStore.get_instance()
+        self.config = load_config()
+        self.pool: Optional[Any] = None
+        self.max_rows = self.config.get('max_rows', 100_000)
+
+    async def _get_pool(self):
+        """Get or create connection pool"""
+        if not ASYNCPG_AVAILABLE:
+            raise RuntimeError("asyncpg not installed - run: pip install asyncpg")
+
+        if self.pool is None:
+            postgres_url = self.config.get('postgres_url')
+            if not postgres_url:
+                raise RuntimeError(
+                    "PostgreSQL not configured. Set POSTGRES_URL in "
+                    "~/.config/claude/postgres.env"
+                )
+            self.pool = await asyncpg.create_pool(postgres_url, min_size=1, max_size=5)
+        return self.pool
+
+    async def pg_connect(self) -> Dict:
+        """
+        Test PostgreSQL connection and return status.
+
+        Returns:
+            Dict with connection status, version, and database info
+        """
+        if not ASYNCPG_AVAILABLE:
+            return {
+                'connected': False,
+                'error': 'asyncpg not installed',
+                'suggestion': 'pip install asyncpg'
+            }
+
+        postgres_url = self.config.get('postgres_url')
+        if not postgres_url:
+            return {
+                'connected': False,
+                'error': 'POSTGRES_URL not configured',
+                'suggestion': 'Create ~/.config/claude/postgres.env with POSTGRES_URL=postgresql://...'
+            }
+
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                version = await conn.fetchval('SELECT version()')
+                db_name = await conn.fetchval('SELECT current_database()')
+                user = await conn.fetchval('SELECT current_user')
+
+                # Check for PostGIS
+                postgis_version = None
+                try:
+                    postgis_version = await conn.fetchval('SELECT PostGIS_Version()')
+                except Exception:
+                    pass
+
+                return {
+                    'connected': True,
+                    'database': db_name,
+                    'user': user,
+                    'version': version.split(',')[0] if version else 'Unknown',
+                    'postgis_version': postgis_version,
+                    'postgis_available': postgis_version is not None
+                }
+
+        except Exception as e:
+            logger.error(f"pg_connect failed: {e}")
+            return {
+                'connected': False,
+                'error': str(e)
+            }
+
+    async def pg_query(
+        self,
+        query: str,
+        params: Optional[List] = None,
+        name: Optional[str] = None
+    ) -> Dict:
+        """
+        Execute SELECT query and return results as data_ref.
+
+        Args:
+            query: SQL SELECT query
+            params: Query parameters (positional, use $1, $2, etc.)
+            name: Optional name for result data_ref
+
+        Returns:
+            Dict with data_ref for results or error
+        """
+        if not PANDAS_AVAILABLE:
+            return {'error': 'pandas not available'}
+
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                if params:
+                    rows = await conn.fetch(query, *params)
+                else:
+                    rows = await conn.fetch(query)
+
+                if not rows:
+                    return {
+                        'data_ref': None,
+                        'rows': 0,
+                        'message': 'Query returned no results'
+                    }
+
+                # Convert to DataFrame
+                df = pd.DataFrame([dict(r) for r in rows])
+
+                # Check row limit
+                check = self.store.check_row_limit(len(df))
+                if check['exceeded']:
+                    return {
+                        'error': 'row_limit_exceeded',
+                        **check,
+                        'preview': df.head(100).to_dict(orient='records')
+                    }
+
+                # Store result
+                data_ref = self.store.store(df, name=name, source=f"pg_query: {query[:100]}...")
+                return {
+                    'data_ref': data_ref,
+                    'rows': len(df),
+                    'columns': list(df.columns)
+                }
+
+        except Exception as e:
+            logger.error(f"pg_query failed: {e}")
+            return {'error': str(e)}
+
+    async def pg_execute(
+        self,
+        query: str,
+        params: Optional[List] = None
+    ) -> Dict:
+        """
+        Execute INSERT/UPDATE/DELETE query.
+
+        Args:
+            query: SQL DML query
+            params: Query parameters
+
+        Returns:
+            Dict with affected rows count
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                if params:
+                    result = await conn.execute(query, *params)
+                else:
+                    result = await conn.execute(query)
+
+                # Parse result (e.g., "INSERT 0 1" or "UPDATE 5")
+                parts = result.split()
+                affected = int(parts[-1]) if parts else 0
+
+                return {
+                    'success': True,
+                    'command': parts[0] if parts else 'UNKNOWN',
+                    'affected_rows': affected
+                }
+
+        except Exception as e:
+            logger.error(f"pg_execute failed: {e}")
+            return {'error': str(e)}
+
+    async def pg_tables(self, schema: str = 'public') -> Dict:
+        """
+        List all tables in schema.
+
+        Args:
+            schema: Schema name (default: public)
+
+        Returns:
+            Dict with list of tables
+        """
+        query = """
+            SELECT
+                table_name,
+                table_type,
+                (SELECT count(*) FROM information_schema.columns c
+                 WHERE c.table_schema = t.table_schema
+                 AND c.table_name = t.table_name) as column_count
+            FROM information_schema.tables t
+            WHERE table_schema = $1
+            ORDER BY table_name
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                rows = await conn.fetch(query, schema)
+                tables = [
+                    {
+                        'name': r['table_name'],
+                        'type': r['table_type'],
+                        'columns': r['column_count']
+                    }
+                    for r in rows
+                ]
+                return {
+                    'schema': schema,
+                    'count': len(tables),
+                    'tables': tables
+                }
+        except Exception as e:
+            logger.error(f"pg_tables failed: {e}")
+            return {'error': str(e)}
+
+    async def pg_columns(self, table: str, schema: str = 'public') -> Dict:
+        """
+        Get column information for a table.
+
+        Args:
+            table: Table name
+            schema: Schema name (default: public)
+
+        Returns:
+            Dict with column details
+        """
+        query = """
+            SELECT
+                column_name,
+                data_type,
+                udt_name,
+                is_nullable,
+                column_default,
+                character_maximum_length,
+                numeric_precision
+            FROM information_schema.columns
+            WHERE table_schema = $1 AND table_name = $2
+            ORDER BY ordinal_position
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                rows = await conn.fetch(query, schema, table)
+                columns = [
+                    {
+                        'name': r['column_name'],
+                        'type': r['data_type'],
+                        'udt': r['udt_name'],
+                        'nullable': r['is_nullable'] == 'YES',
+                        'default': r['column_default'],
+                        'max_length': r['character_maximum_length'],
+                        'precision': r['numeric_precision']
+                    }
+                    for r in rows
+                ]
+                return {
+                    'table': f'{schema}.{table}',
+                    'column_count': len(columns),
+                    'columns': columns
+                }
+        except Exception as e:
+            logger.error(f"pg_columns failed: {e}")
+            return {'error': str(e)}
+
+    async def pg_schemas(self) -> Dict:
+        """
+        List all schemas in database.
+
+        Returns:
+            Dict with list of schemas
+        """
+        query = """
+            SELECT schema_name
+            FROM information_schema.schemata
+            WHERE schema_name NOT IN ('pg_catalog', 'information_schema', 'pg_toast')
+            ORDER BY schema_name
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                rows = await conn.fetch(query)
+                schemas = [r['schema_name'] for r in rows]
+                return {
+                    'count': len(schemas),
+                    'schemas': schemas
+                }
+        except Exception as e:
+            logger.error(f"pg_schemas failed: {e}")
+            return {'error': str(e)}
+
+    async def st_tables(self, schema: str = 'public') -> Dict:
+        """
+        List PostGIS-enabled tables.
+
+        Args:
+            schema: Schema name (default: public)
+
+        Returns:
+            Dict with list of tables with geometry columns
+        """
+        query = """
+            SELECT
+                f_table_name as table_name,
+                f_geometry_column as geometry_column,
+                type as geometry_type,
+                srid,
+                coord_dimension
+            FROM geometry_columns
+            WHERE f_table_schema = $1
+            ORDER BY f_table_name
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                rows = await conn.fetch(query, schema)
+                tables = [
+                    {
+                        'table': r['table_name'],
+                        'geometry_column': r['geometry_column'],
+                        'geometry_type': r['geometry_type'],
+                        'srid': r['srid'],
+                        'dimensions': r['coord_dimension']
+                    }
+                    for r in rows
+                ]
+                return {
+                    'schema': schema,
+                    'count': len(tables),
+                    'postgis_tables': tables
+                }
+        except Exception as e:
+            if 'geometry_columns' in str(e):
+                return {
+                    'error': 'PostGIS not installed or extension not enabled',
+                    'suggestion': 'Run: CREATE EXTENSION IF NOT EXISTS postgis;'
+                }
+            logger.error(f"st_tables failed: {e}")
+            return {'error': str(e)}
+
+    async def st_geometry_type(self, table: str, column: str, schema: str = 'public') -> Dict:
+        """
+        Get geometry type of a column.
+
+        Args:
+            table: Table name
+            column: Geometry column name
+            schema: Schema name
+
+        Returns:
+            Dict with geometry type information
+        """
+        query = f"""
+            SELECT DISTINCT ST_GeometryType({column}) as geom_type
+            FROM {schema}.{table}
+            WHERE {column} IS NOT NULL
+            LIMIT 10
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                rows = await conn.fetch(query)
+                types = [r['geom_type'] for r in rows]
+                return {
+                    'table': f'{schema}.{table}',
+                    'column': column,
+                    'geometry_types': types
+                }
+        except Exception as e:
+            logger.error(f"st_geometry_type failed: {e}")
+            return {'error': str(e)}
+
+    async def st_srid(self, table: str, column: str, schema: str = 'public') -> Dict:
+        """
+        Get SRID of geometry column.
+
+        Args:
+            table: Table name
+            column: Geometry column name
+            schema: Schema name
+
+        Returns:
+            Dict with SRID information
+        """
+        query = f"""
+            SELECT DISTINCT ST_SRID({column}) as srid
+            FROM {schema}.{table}
+            WHERE {column} IS NOT NULL
+            LIMIT 1
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                row = await conn.fetchrow(query)
+                srid = row['srid'] if row else None
+
+                # Get SRID description
+                srid_info = None
+                if srid:
+                    srid_query = """
+                        SELECT srtext, proj4text
+                        FROM spatial_ref_sys
+                        WHERE srid = $1
+                    """
+                    srid_row = await conn.fetchrow(srid_query, srid)
+                    if srid_row:
+                        srid_info = {
+                            'description': srid_row['srtext'][:200] if srid_row['srtext'] else None,
+                            'proj4': srid_row['proj4text']
+                        }
+
+                return {
+                    'table': f'{schema}.{table}',
+                    'column': column,
+                    'srid': srid,
+                    'info': srid_info
+                }
+        except Exception as e:
+            logger.error(f"st_srid failed: {e}")
+            return {'error': str(e)}
+
+    async def st_extent(self, table: str, column: str, schema: str = 'public') -> Dict:
+        """
+        Get bounding box of all geometries.
+
+        Args:
+            table: Table name
+            column: Geometry column name
+            schema: Schema name
+
+        Returns:
+            Dict with bounding box coordinates
+        """
+        query = f"""
+            SELECT
+                ST_XMin(extent) as xmin,
+                ST_YMin(extent) as ymin,
+                ST_XMax(extent) as xmax,
+                ST_YMax(extent) as ymax
+            FROM (
+                SELECT ST_Extent({column}) as extent
+                FROM {schema}.{table}
+            ) sub
+        """
+        try:
+            pool = await self._get_pool()
+            async with pool.acquire() as conn:
+                row = await conn.fetchrow(query)
+                if row and row['xmin'] is not None:
+                    return {
+                        'table': f'{schema}.{table}',
+                        'column': column,
+                        'bbox': {
+                            'xmin': float(row['xmin']),
+                            'ymin': float(row['ymin']),
+                            'xmax': float(row['xmax']),
+                            'ymax': float(row['ymax'])
+                        }
+                    }
+                return {
+                    'table': f'{schema}.{table}',
+                    'column': column,
+                    'bbox': None,
+                    'message': 'No geometries found or all NULL'
+                }
+        except Exception as e:
+            logger.error(f"st_extent failed: {e}")
+            return {'error': str(e)}
+
+    async def close(self):
+        """Close connection pool"""
+        if self.pool:
+            await self.pool.close()
+            self.pool = None
+
+
+def check_connection() -> None:
+    """
+    Check PostgreSQL connection for SessionStart hook.
+    Prints warning to stderr if connection fails.
+    """
+    import sys
+
+    config = load_config()
+    if not config.get('postgres_url'):
+        print(
+            "[data-platform] PostgreSQL not configured (POSTGRES_URL not set)",
+            file=sys.stderr
+        )
+        return
+
+    async def test():
+        try:
+            if not ASYNCPG_AVAILABLE:
+                print(
+                    "[data-platform] asyncpg not installed - PostgreSQL tools unavailable",
+                    file=sys.stderr
+                )
+                return
+
+            conn = await asyncpg.connect(config['postgres_url'], timeout=5)
+            await conn.close()
+            print("[data-platform] PostgreSQL connection OK", file=sys.stderr)
+        except Exception as e:
+            print(
+                f"[data-platform] PostgreSQL connection failed: {e}",
+                file=sys.stderr
+            )
+
+    asyncio.run(test())

mcp-servers/data-platform/mcp_server/server.py

@@ -0,0 +1,795 @@
+"""
+MCP Server entry point for Data Platform integration.
+
+Provides pandas, PostgreSQL/PostGIS, and dbt tools to Claude Code via JSON-RPC 2.0 over stdio.
+"""
+import asyncio
+import logging
+import json
+from mcp.server import Server
+from mcp.server.stdio import stdio_server
+from mcp.types import Tool, TextContent
+
+from .config import DataPlatformConfig
+from .data_store import DataStore
+from .pandas_tools import PandasTools
+from .postgres_tools import PostgresTools
+from .dbt_tools import DbtTools
+
+# Suppress noisy MCP validation warnings on stderr
+logging.basicConfig(level=logging.INFO)
+logging.getLogger("root").setLevel(logging.ERROR)
+logging.getLogger("mcp").setLevel(logging.ERROR)
+logger = logging.getLogger(__name__)
+
+
+class DataPlatformMCPServer:
+    """MCP Server for data platform integration"""
+
+    def __init__(self):
+        self.server = Server("data-platform-mcp")
+        self.config = None
+        self.pandas_tools = None
+        self.postgres_tools = None
+        self.dbt_tools = None
+
+    async def initialize(self):
+        """Initialize server and load configuration."""
+        try:
+            config_loader = DataPlatformConfig()
+            self.config = config_loader.load()
+
+            self.pandas_tools = PandasTools()
+            self.postgres_tools = PostgresTools()
+            self.dbt_tools = DbtTools()
+
+            # Log available capabilities
+            caps = []
+            caps.append("pandas")
+            if self.config.get('postgres_available'):
+                caps.append("PostgreSQL")
+            if self.config.get('dbt_available'):
+                caps.append("dbt")
+
+            logger.info(f"Data Platform MCP Server initialized with: {', '.join(caps)}")
+
+        except Exception as e:
+            logger.error(f"Failed to initialize: {e}")
+            raise
+
+    def setup_tools(self):
+        """Register all available tools with the MCP server"""
+
+        @self.server.list_tools()
+        async def list_tools() -> list[Tool]:
+            """Return list of available tools"""
+            tools = [
+                # pandas tools - always available
+                Tool(
+                    name="read_csv",
+                    description="Load CSV file into DataFrame",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "file_path": {
+                                "type": "string",
+                                "description": "Path to CSV file"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for data_ref"
+                            },
+                            "chunk_size": {
+                                "type": "integer",
+                                "description": "Process in chunks of this size"
+                            }
+                        },
+                        "required": ["file_path"]
+                    }
+                ),
+                Tool(
+                    name="read_parquet",
+                    description="Load Parquet file into DataFrame",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "file_path": {
+                                "type": "string",
+                                "description": "Path to Parquet file"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for data_ref"
+                            },
+                            "columns": {
+                                "type": "array",
+                                "items": {"type": "string"},
+                                "description": "Optional list of columns to load"
+                            }
+                        },
+                        "required": ["file_path"]
+                    }
+                ),
+                Tool(
+                    name="read_json",
+                    description="Load JSON/JSONL file into DataFrame",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "file_path": {
+                                "type": "string",
+                                "description": "Path to JSON file"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for data_ref"
+                            },
+                            "lines": {
+                                "type": "boolean",
+                                "default": False,
+                                "description": "Read as JSON Lines format"
+                            }
+                        },
+                        "required": ["file_path"]
+                    }
+                ),
+                Tool(
+                    name="to_csv",
+                    description="Export DataFrame to CSV file",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            },
+                            "file_path": {
+                                "type": "string",
+                                "description": "Output file path"
+                            },
+                            "index": {
+                                "type": "boolean",
+                                "default": False,
+                                "description": "Include index column"
+                            }
+                        },
+                        "required": ["data_ref", "file_path"]
+                    }
+                ),
+                Tool(
+                    name="to_parquet",
+                    description="Export DataFrame to Parquet file",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            },
+                            "file_path": {
+                                "type": "string",
+                                "description": "Output file path"
+                            },
+                            "compression": {
+                                "type": "string",
+                                "default": "snappy",
+                                "description": "Compression codec"
+                            }
+                        },
+                        "required": ["data_ref", "file_path"]
+                    }
+                ),
+                Tool(
+                    name="describe",
+                    description="Get statistical summary of DataFrame",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            }
+                        },
+                        "required": ["data_ref"]
+                    }
+                ),
+                Tool(
+                    name="head",
+                    description="Get first N rows of DataFrame",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            },
+                            "n": {
+                                "type": "integer",
+                                "default": 10,
+                                "description": "Number of rows"
+                            }
+                        },
+                        "required": ["data_ref"]
+                    }
+                ),
+                Tool(
+                    name="tail",
+                    description="Get last N rows of DataFrame",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            },
+                            "n": {
+                                "type": "integer",
+                                "default": 10,
+                                "description": "Number of rows"
+                            }
+                        },
+                        "required": ["data_ref"]
+                    }
+                ),
+                Tool(
+                    name="filter",
+                    description="Filter DataFrame rows by condition",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            },
+                            "condition": {
+                                "type": "string",
+                                "description": "pandas query string (e.g., 'age > 30 and city == \"NYC\"')"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for result data_ref"
+                            }
+                        },
+                        "required": ["data_ref", "condition"]
+                    }
+                ),
+                Tool(
+                    name="select",
+                    description="Select specific columns from DataFrame",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            },
+                            "columns": {
+                                "type": "array",
+                                "items": {"type": "string"},
+                                "description": "List of column names to select"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for result data_ref"
+                            }
+                        },
+                        "required": ["data_ref", "columns"]
+                    }
+                ),
+                Tool(
+                    name="groupby",
+                    description="Group DataFrame and aggregate",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to stored DataFrame"
+                            },
+                            "by": {
+                                "oneOf": [
+                                    {"type": "string"},
+                                    {"type": "array", "items": {"type": "string"}}
+                                ],
+                                "description": "Column(s) to group by"
+                            },
+                            "agg": {
+                                "type": "object",
+                                "description": "Aggregation dict (e.g., {\"sales\": \"sum\", \"count\": \"mean\"})"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for result data_ref"
+                            }
+                        },
+                        "required": ["data_ref", "by", "agg"]
+                    }
+                ),
+                Tool(
+                    name="join",
+                    description="Join two DataFrames",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "left_ref": {
+                                "type": "string",
+                                "description": "Reference to left DataFrame"
+                            },
+                            "right_ref": {
+                                "type": "string",
+                                "description": "Reference to right DataFrame"
+                            },
+                            "on": {
+                                "oneOf": [
+                                    {"type": "string"},
+                                    {"type": "array", "items": {"type": "string"}}
+                                ],
+                                "description": "Column(s) to join on (if same name in both)"
+                            },
+                            "left_on": {
+                                "oneOf": [
+                                    {"type": "string"},
+                                    {"type": "array", "items": {"type": "string"}}
+                                ],
+                                "description": "Left join column(s)"
+                            },
+                            "right_on": {
+                                "oneOf": [
+                                    {"type": "string"},
+                                    {"type": "array", "items": {"type": "string"}}
+                                ],
+                                "description": "Right join column(s)"
+                            },
+                            "how": {
+                                "type": "string",
+                                "enum": ["inner", "left", "right", "outer"],
+                                "default": "inner",
+                                "description": "Join type"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for result data_ref"
+                            }
+                        },
+                        "required": ["left_ref", "right_ref"]
+                    }
+                ),
+                Tool(
+                    name="list_data",
+                    description="List all stored DataFrames",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {}
+                    }
+                ),
+                Tool(
+                    name="drop_data",
+                    description="Remove a DataFrame from storage",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "data_ref": {
+                                "type": "string",
+                                "description": "Reference to drop"
+                            }
+                        },
+                        "required": ["data_ref"]
+                    }
+                ),
+                # PostgreSQL tools
+                Tool(
+                    name="pg_connect",
+                    description="Test PostgreSQL connection and return status",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {}
+                    }
+                ),
+                Tool(
+                    name="pg_query",
+                    description="Execute SELECT query and return results as data_ref",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "query": {
+                                "type": "string",
+                                "description": "SQL SELECT query"
+                            },
+                            "params": {
+                                "type": "array",
+                                "items": {},
+                                "description": "Query parameters (use $1, $2, etc.)"
+                            },
+                            "name": {
+                                "type": "string",
+                                "description": "Optional name for result data_ref"
+                            }
+                        },
+                        "required": ["query"]
+                    }
+                ),
+                Tool(
+                    name="pg_execute",
+                    description="Execute INSERT/UPDATE/DELETE query",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "query": {
+                                "type": "string",
+                                "description": "SQL DML query"
+                            },
+                            "params": {
+                                "type": "array",
+                                "items": {},
+                                "description": "Query parameters"
+                            }
+                        },
+                        "required": ["query"]
+                    }
+                ),
+                Tool(
+                    name="pg_tables",
+                    description="List all tables in schema",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "schema": {
+                                "type": "string",
+                                "default": "public",
+                                "description": "Schema name"
+                            }
+                        }
+                    }
+                ),
+                Tool(
+                    name="pg_columns",
+                    description="Get column information for a table",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "table": {
+                                "type": "string",
+                                "description": "Table name"
+                            },
+                            "schema": {
+                                "type": "string",
+                                "default": "public",
+                                "description": "Schema name"
+                            }
+                        },
+                        "required": ["table"]
+                    }
+                ),
+                Tool(
+                    name="pg_schemas",
+                    description="List all schemas in database",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {}
+                    }
+                ),
+                # PostGIS tools
+                Tool(
+                    name="st_tables",
+                    description="List PostGIS-enabled tables",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "schema": {
+                                "type": "string",
+                                "default": "public",
+                                "description": "Schema name"
+                            }
+                        }
+                    }
+                ),
+                Tool(
+                    name="st_geometry_type",
+                    description="Get geometry type of a column",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "table": {
+                                "type": "string",
+                                "description": "Table name"
+                            },
+                            "column": {
+                                "type": "string",
+                                "description": "Geometry column name"
+                            },
+                            "schema": {
+                                "type": "string",
+                                "default": "public",
+                                "description": "Schema name"
+                            }
+                        },
+                        "required": ["table", "column"]
+                    }
+                ),
+                Tool(
+                    name="st_srid",
+                    description="Get SRID of geometry column",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "table": {
+                                "type": "string",
+                                "description": "Table name"
+                            },
+                            "column": {
+                                "type": "string",
+                                "description": "Geometry column name"
+                            },
+                            "schema": {
+                                "type": "string",
+                                "default": "public",
+                                "description": "Schema name"
+                            }
+                        },
+                        "required": ["table", "column"]
+                    }
+                ),
+                Tool(
+                    name="st_extent",
+                    description="Get bounding box of all geometries",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "table": {
+                                "type": "string",
+                                "description": "Table name"
+                            },
+                            "column": {
+                                "type": "string",
+                                "description": "Geometry column name"
+                            },
+                            "schema": {
+                                "type": "string",
+                                "default": "public",
+                                "description": "Schema name"
+                            }
+                        },
+                        "required": ["table", "column"]
+                    }
+                ),
+                # dbt tools
+                Tool(
+                    name="dbt_parse",
+                    description="Validate dbt project (pre-flight check)",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {}
+                    }
+                ),
+                Tool(
+                    name="dbt_run",
+                    description="Run dbt models with pre-validation",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "select": {
+                                "type": "string",
+                                "description": "Model selection (e.g., 'model_name', '+model_name', 'tag:daily')"
+                            },
+                            "exclude": {
+                                "type": "string",
+                                "description": "Models to exclude"
+                            },
+                            "full_refresh": {
+                                "type": "boolean",
+                                "default": False,
+                                "description": "Rebuild incremental models"
+                            }
+                        }
+                    }
+                ),
+                Tool(
+                    name="dbt_test",
+                    description="Run dbt tests",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "select": {
+                                "type": "string",
+                                "description": "Test selection"
+                            },
+                            "exclude": {
+                                "type": "string",
+                                "description": "Tests to exclude"
+                            }
+                        }
+                    }
+                ),
+                Tool(
+                    name="dbt_build",
+                    description="Run dbt build (run + test) with pre-validation",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "select": {
+                                "type": "string",
+                                "description": "Model/test selection"
+                            },
+                            "exclude": {
+                                "type": "string",
+                                "description": "Resources to exclude"
+                            },
+                            "full_refresh": {
+                                "type": "boolean",
+                                "default": False,
+                                "description": "Rebuild incremental models"
+                            }
+                        }
+                    }
+                ),
+                Tool(
+                    name="dbt_compile",
+                    description="Compile dbt models to SQL without executing",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "select": {
+                                "type": "string",
+                                "description": "Model selection"
+                            }
+                        }
+                    }
+                ),
+                Tool(
+                    name="dbt_ls",
+                    description="List dbt resources",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "select": {
+                                "type": "string",
+                                "description": "Resource selection"
+                            },
+                            "resource_type": {
+                                "type": "string",
+                                "enum": ["model", "test", "seed", "snapshot", "source"],
+                                "description": "Filter by type"
+                            },
+                            "output": {
+                                "type": "string",
+                                "enum": ["name", "path", "json"],
+                                "default": "name",
+                                "description": "Output format"
+                            }
+                        }
+                    }
+                ),
+                Tool(
+                    name="dbt_docs_generate",
+                    description="Generate dbt documentation",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {}
+                    }
+                ),
+                Tool(
+                    name="dbt_lineage",
+                    description="Get model dependencies and lineage",
+                    inputSchema={
+                        "type": "object",
+                        "properties": {
+                            "model": {
+                                "type": "string",
+                                "description": "Model name to analyze"
+                            }
+                        },
+                        "required": ["model"]
+                    }
+                )
+            ]
+            return tools
+
+        @self.server.call_tool()
+        async def call_tool(name: str, arguments: dict) -> list[TextContent]:
+            """Handle tool invocation."""
+            try:
+                # Route to appropriate tool handler
+                # pandas tools
+                if name == "read_csv":
+                    result = await self.pandas_tools.read_csv(**arguments)
+                elif name == "read_parquet":
+                    result = await self.pandas_tools.read_parquet(**arguments)
+                elif name == "read_json":
+                    result = await self.pandas_tools.read_json(**arguments)
+                elif name == "to_csv":
+                    result = await self.pandas_tools.to_csv(**arguments)
+                elif name == "to_parquet":
+                    result = await self.pandas_tools.to_parquet(**arguments)
+                elif name == "describe":
+                    result = await self.pandas_tools.describe(**arguments)
+                elif name == "head":
+                    result = await self.pandas_tools.head(**arguments)
+                elif name == "tail":
+                    result = await self.pandas_tools.tail(**arguments)
+                elif name == "filter":
+                    result = await self.pandas_tools.filter(**arguments)
+                elif name == "select":
+                    result = await self.pandas_tools.select(**arguments)
+                elif name == "groupby":
+                    result = await self.pandas_tools.groupby(**arguments)
+                elif name == "join":
+                    result = await self.pandas_tools.join(**arguments)
+                elif name == "list_data":
+                    result = await self.pandas_tools.list_data()
+                elif name == "drop_data":
+                    result = await self.pandas_tools.drop_data(**arguments)
+                # PostgreSQL tools
+                elif name == "pg_connect":
+                    result = await self.postgres_tools.pg_connect()
+                elif name == "pg_query":
+                    result = await self.postgres_tools.pg_query(**arguments)
+                elif name == "pg_execute":
+                    result = await self.postgres_tools.pg_execute(**arguments)
+                elif name == "pg_tables":
+                    result = await self.postgres_tools.pg_tables(**arguments)
+                elif name == "pg_columns":
+                    result = await self.postgres_tools.pg_columns(**arguments)
+                elif name == "pg_schemas":
+                    result = await self.postgres_tools.pg_schemas()
+                # PostGIS tools
+                elif name == "st_tables":
+                    result = await self.postgres_tools.st_tables(**arguments)
+                elif name == "st_geometry_type":
+                    result = await self.postgres_tools.st_geometry_type(**arguments)
+                elif name == "st_srid":
+                    result = await self.postgres_tools.st_srid(**arguments)
+                elif name == "st_extent":
+                    result = await self.postgres_tools.st_extent(**arguments)
+                # dbt tools
+                elif name == "dbt_parse":
+                    result = await self.dbt_tools.dbt_parse()
+                elif name == "dbt_run":
+                    result = await self.dbt_tools.dbt_run(**arguments)
+                elif name == "dbt_test":
+                    result = await self.dbt_tools.dbt_test(**arguments)
+                elif name == "dbt_build":
+                    result = await self.dbt_tools.dbt_build(**arguments)
+                elif name == "dbt_compile":
+                    result = await self.dbt_tools.dbt_compile(**arguments)
+                elif name == "dbt_ls":
+                    result = await self.dbt_tools.dbt_ls(**arguments)
+                elif name == "dbt_docs_generate":
+                    result = await self.dbt_tools.dbt_docs_generate()
+                elif name == "dbt_lineage":
+                    result = await self.dbt_tools.dbt_lineage(**arguments)
+                else:
+                    raise ValueError(f"Unknown tool: {name}")
+
+                return [TextContent(
+                    type="text",
+                    text=json.dumps(result, indent=2, default=str)
+                )]
+
+            except Exception as e:
+                logger.error(f"Tool {name} failed: {e}")
+                return [TextContent(
+                    type="text",
+                    text=json.dumps({"error": str(e)}, indent=2)
+                )]
+
+    async def run(self):
+        """Run the MCP server"""
+        await self.initialize()
+        self.setup_tools()
+
+        async with stdio_server() as (read_stream, write_stream):
+            await self.server.run(
+                read_stream,
+                write_stream,
+                self.server.create_initialization_options()
+            )
+
+
+async def main():
+    """Main entry point"""
+    server = DataPlatformMCPServer()
+    await server.run()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

mcp-servers/data-platform/pyproject.toml

@@ -0,0 +1,49 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "data-platform-mcp"
+version = "1.0.0"
+description = "MCP Server for data engineering with pandas, PostgreSQL/PostGIS, and dbt"
+readme = "README.md"
+license = {text = "MIT"}
+requires-python = ">=3.10"
+authors = [
+    {name = "Leo Miranda"}
+]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+]
+dependencies = [
+    "mcp>=0.9.0",
+    "pandas>=2.0.0",
+    "pyarrow>=14.0.0",
+    "asyncpg>=0.29.0",
+    "geoalchemy2>=0.14.0",
+    "shapely>=2.0.0",
+    "dbt-core>=1.9.0",
+    "dbt-postgres>=1.9.0",
+    "python-dotenv>=1.0.0",
+    "pydantic>=2.5.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=7.4.3",
+    "pytest-asyncio>=0.23.0",
+]
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["mcp_server*"]
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]

mcp-servers/data-platform/requirements.txt

@@ -0,0 +1,23 @@
+# MCP SDK
+mcp>=0.9.0
+
+# Data Processing
+pandas>=2.0.0
+pyarrow>=14.0.0
+
+# PostgreSQL/PostGIS
+asyncpg>=0.29.0
+geoalchemy2>=0.14.0
+shapely>=2.0.0
+
+# dbt
+dbt-core>=1.9.0
+dbt-postgres>=1.9.0
+
+# Utilities
+python-dotenv>=1.0.0
+pydantic>=2.5.0
+
+# Testing
+pytest>=7.4.3
+pytest-asyncio>=0.23.0

mcp-servers/data-platform/tests/__init__.py

@@ -0,0 +1,3 @@
+"""
+Tests for Data Platform MCP Server.
+"""

mcp-servers/data-platform/tests/test_config.py

@@ -0,0 +1,239 @@
+"""
+Unit tests for configuration loader.
+"""
+import pytest
+from pathlib import Path
+import os
+
+
+def test_load_system_config(tmp_path, monkeypatch):
+    """Test loading system-level PostgreSQL configuration"""
+    # Import here to avoid import errors before setup
+    from mcp_server.config import DataPlatformConfig
+
+    # Mock home directory
+    config_dir = tmp_path / '.config' / 'claude'
+    config_dir.mkdir(parents=True)
+
+    config_file = config_dir / 'postgres.env'
+    config_file.write_text(
+        "POSTGRES_URL=postgresql://user:pass@localhost:5432/testdb\n"
+    )
+
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(tmp_path)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    assert result['postgres_url'] == 'postgresql://user:pass@localhost:5432/testdb'
+    assert result['postgres_available'] is True
+
+
+def test_postgres_optional(tmp_path, monkeypatch):
+    """Test that PostgreSQL configuration is optional"""
+    from mcp_server.config import DataPlatformConfig
+
+    # No postgres.env file
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(tmp_path)
+
+    # Clear any existing env vars
+    monkeypatch.delenv('POSTGRES_URL', raising=False)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    assert result['postgres_url'] is None
+    assert result['postgres_available'] is False
+
+
+def test_project_config_override(tmp_path, monkeypatch):
+    """Test that project config overrides system config"""
+    from mcp_server.config import DataPlatformConfig
+
+    # Set up system config
+    system_config_dir = tmp_path / '.config' / 'claude'
+    system_config_dir.mkdir(parents=True)
+
+    system_config = system_config_dir / 'postgres.env'
+    system_config.write_text(
+        "POSTGRES_URL=postgresql://system:pass@localhost:5432/systemdb\n"
+    )
+
+    # Set up project config
+    project_dir = tmp_path / 'project'
+    project_dir.mkdir()
+
+    project_config = project_dir / '.env'
+    project_config.write_text(
+        "POSTGRES_URL=postgresql://project:pass@localhost:5432/projectdb\n"
+        "DBT_PROJECT_DIR=/path/to/dbt\n"
+    )
+
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(project_dir)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    # Project config should override
+    assert result['postgres_url'] == 'postgresql://project:pass@localhost:5432/projectdb'
+    assert result['dbt_project_dir'] == '/path/to/dbt'
+
+
+def test_max_rows_config(tmp_path, monkeypatch):
+    """Test max rows configuration"""
+    from mcp_server.config import DataPlatformConfig
+
+    project_dir = tmp_path / 'project'
+    project_dir.mkdir()
+
+    project_config = project_dir / '.env'
+    project_config.write_text("DATA_PLATFORM_MAX_ROWS=50000\n")
+
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(project_dir)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    assert result['max_rows'] == 50000
+
+
+def test_default_max_rows(tmp_path, monkeypatch):
+    """Test default max rows value"""
+    from mcp_server.config import DataPlatformConfig
+
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(tmp_path)
+
+    # Clear any existing env vars
+    monkeypatch.delenv('DATA_PLATFORM_MAX_ROWS', raising=False)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    assert result['max_rows'] == 100_000  # Default value
+
+
+def test_dbt_auto_detection(tmp_path, monkeypatch):
+    """Test automatic dbt project detection"""
+    from mcp_server.config import DataPlatformConfig
+
+    # Create project with dbt_project.yml
+    project_dir = tmp_path / 'project'
+    project_dir.mkdir()
+    (project_dir / 'dbt_project.yml').write_text("name: test_project\n")
+
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(project_dir)
+    # Clear PWD and DBT_PROJECT_DIR to ensure auto-detection
+    monkeypatch.delenv('PWD', raising=False)
+    monkeypatch.delenv('DBT_PROJECT_DIR', raising=False)
+    monkeypatch.delenv('CLAUDE_PROJECT_DIR', raising=False)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    assert result['dbt_project_dir'] == str(project_dir)
+    assert result['dbt_available'] is True
+
+
+def test_dbt_subdirectory_detection(tmp_path, monkeypatch):
+    """Test dbt project detection in subdirectory"""
+    from mcp_server.config import DataPlatformConfig
+
+    # Create project with dbt in subdirectory
+    project_dir = tmp_path / 'project'
+    project_dir.mkdir()
+    # Need a marker file for _find_project_directory to find the project
+    (project_dir / '.git').mkdir()
+    dbt_dir = project_dir / 'transform'
+    dbt_dir.mkdir()
+    (dbt_dir / 'dbt_project.yml').write_text("name: test_project\n")
+
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(project_dir)
+    # Clear env vars to ensure auto-detection
+    monkeypatch.delenv('PWD', raising=False)
+    monkeypatch.delenv('DBT_PROJECT_DIR', raising=False)
+    monkeypatch.delenv('CLAUDE_PROJECT_DIR', raising=False)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    assert result['dbt_project_dir'] == str(dbt_dir)
+    assert result['dbt_available'] is True
+
+
+def test_no_dbt_project(tmp_path, monkeypatch):
+    """Test when no dbt project exists"""
+    from mcp_server.config import DataPlatformConfig
+
+    project_dir = tmp_path / 'project'
+    project_dir.mkdir()
+
+    monkeypatch.setenv('HOME', str(tmp_path))
+    monkeypatch.chdir(project_dir)
+
+    # Clear any existing env vars
+    monkeypatch.delenv('DBT_PROJECT_DIR', raising=False)
+
+    config = DataPlatformConfig()
+    result = config.load()
+
+    assert result['dbt_project_dir'] is None
+    assert result['dbt_available'] is False
+
+
+def test_find_project_directory_from_env(tmp_path, monkeypatch):
+    """Test finding project directory from CLAUDE_PROJECT_DIR env var"""
+    from mcp_server.config import DataPlatformConfig
+
+    project_dir = tmp_path / 'my-project'
+    project_dir.mkdir()
+    (project_dir / '.git').mkdir()
+
+    monkeypatch.setenv('CLAUDE_PROJECT_DIR', str(project_dir))
+
+    config = DataPlatformConfig()
+    result = config._find_project_directory()
+
+    assert result == project_dir
+
+
+def test_find_project_directory_from_cwd(tmp_path, monkeypatch):
+    """Test finding project directory from cwd with .env file"""
+    from mcp_server.config import DataPlatformConfig
+
+    project_dir = tmp_path / 'project'
+    project_dir.mkdir()
+    (project_dir / '.env').write_text("TEST=value")
+
+    monkeypatch.chdir(project_dir)
+    monkeypatch.delenv('CLAUDE_PROJECT_DIR', raising=False)
+    monkeypatch.delenv('PWD', raising=False)
+
+    config = DataPlatformConfig()
+    result = config._find_project_directory()
+
+    assert result == project_dir
+
+
+def test_find_project_directory_none_when_no_markers(tmp_path, monkeypatch):
+    """Test returns None when no project markers found"""
+    from mcp_server.config import DataPlatformConfig
+
+    empty_dir = tmp_path / 'empty'
+    empty_dir.mkdir()
+
+    monkeypatch.chdir(empty_dir)
+    monkeypatch.delenv('CLAUDE_PROJECT_DIR', raising=False)
+    monkeypatch.delenv('PWD', raising=False)
+    monkeypatch.delenv('DBT_PROJECT_DIR', raising=False)
+
+    config = DataPlatformConfig()
+    result = config._find_project_directory()
+
+    assert result is None

mcp-servers/data-platform/tests/test_data_store.py

@@ -0,0 +1,240 @@
+"""
+Unit tests for Arrow IPC DataFrame registry.
+"""
+import pytest
+import pandas as pd
+import pyarrow as pa
+
+
+def test_store_pandas_dataframe():
+    """Test storing pandas DataFrame"""
+    from mcp_server.data_store import DataStore
+
+    # Create fresh instance for test
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    df = pd.DataFrame({'a': [1, 2, 3], 'b': ['x', 'y', 'z']})
+    data_ref = store.store(df, name='test_df')
+
+    assert data_ref == 'test_df'
+    assert 'test_df' in store._dataframes
+    assert store._metadata['test_df'].rows == 3
+    assert store._metadata['test_df'].columns == 2
+
+
+def test_store_arrow_table():
+    """Test storing Arrow Table directly"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    table = pa.table({'x': [1, 2, 3], 'y': [4, 5, 6]})
+    data_ref = store.store(table, name='arrow_test')
+
+    assert data_ref == 'arrow_test'
+    assert store._dataframes['arrow_test'].num_rows == 3
+
+
+def test_store_auto_name():
+    """Test auto-generated data_ref names"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    df = pd.DataFrame({'a': [1, 2]})
+    data_ref = store.store(df)
+
+    assert data_ref.startswith('df_')
+    assert len(data_ref) == 11  # df_ + 8 hex chars
+
+
+def test_get_dataframe():
+    """Test retrieving stored DataFrame"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    df = pd.DataFrame({'a': [1, 2, 3]})
+    store.store(df, name='get_test')
+
+    result = store.get('get_test')
+    assert result is not None
+    assert result.num_rows == 3
+
+
+def test_get_pandas():
+    """Test retrieving as pandas DataFrame"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    df = pd.DataFrame({'a': [1, 2, 3], 'b': ['x', 'y', 'z']})
+    store.store(df, name='pandas_test')
+
+    result = store.get_pandas('pandas_test')
+    assert isinstance(result, pd.DataFrame)
+    assert list(result.columns) == ['a', 'b']
+    assert len(result) == 3
+
+
+def test_get_nonexistent():
+    """Test getting nonexistent data_ref returns None"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    assert store.get('nonexistent') is None
+    assert store.get_pandas('nonexistent') is None
+
+
+def test_list_refs():
+    """Test listing all stored DataFrames"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    store.store(pd.DataFrame({'a': [1, 2]}), name='df1')
+    store.store(pd.DataFrame({'b': [3, 4, 5]}), name='df2')
+
+    refs = store.list_refs()
+
+    assert len(refs) == 2
+    ref_names = [r['ref'] for r in refs]
+    assert 'df1' in ref_names
+    assert 'df2' in ref_names
+
+
+def test_drop_dataframe():
+    """Test dropping a DataFrame"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    store.store(pd.DataFrame({'a': [1]}), name='drop_test')
+    assert store.get('drop_test') is not None
+
+    result = store.drop('drop_test')
+    assert result is True
+    assert store.get('drop_test') is None
+
+
+def test_drop_nonexistent():
+    """Test dropping nonexistent data_ref"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    result = store.drop('nonexistent')
+    assert result is False
+
+
+def test_clear():
+    """Test clearing all DataFrames"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    store.store(pd.DataFrame({'a': [1]}), name='df1')
+    store.store(pd.DataFrame({'b': [2]}), name='df2')
+
+    store.clear()
+
+    assert len(store.list_refs()) == 0
+
+
+def test_get_info():
+    """Test getting DataFrame metadata"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    df = pd.DataFrame({'a': [1, 2, 3], 'b': ['x', 'y', 'z']})
+    store.store(df, name='info_test', source='test source')
+
+    info = store.get_info('info_test')
+
+    assert info.ref == 'info_test'
+    assert info.rows == 3
+    assert info.columns == 2
+    assert info.column_names == ['a', 'b']
+    assert info.source == 'test source'
+    assert info.memory_bytes > 0
+
+
+def test_total_memory():
+    """Test total memory calculation"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    store.store(pd.DataFrame({'a': range(100)}), name='df1')
+    store.store(pd.DataFrame({'b': range(200)}), name='df2')
+
+    total = store.total_memory_bytes()
+    assert total > 0
+
+    total_mb = store.total_memory_mb()
+    assert total_mb >= 0
+
+
+def test_check_row_limit():
+    """Test row limit checking"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._max_rows = 100
+
+    # Under limit
+    result = store.check_row_limit(50)
+    assert result['exceeded'] is False
+
+    # Over limit
+    result = store.check_row_limit(150)
+    assert result['exceeded'] is True
+    assert 'suggestion' in result
+
+
+def test_metadata_dtypes():
+    """Test that dtypes are correctly recorded"""
+    from mcp_server.data_store import DataStore
+
+    store = DataStore()
+    store._dataframes = {}
+    store._metadata = {}
+
+    df = pd.DataFrame({
+        'int_col': [1, 2, 3],
+        'float_col': [1.1, 2.2, 3.3],
+        'str_col': ['a', 'b', 'c']
+    })
+    store.store(df, name='dtype_test')
+
+    info = store.get_info('dtype_test')
+
+    assert 'int_col' in info.dtypes
+    assert 'float_col' in info.dtypes
+    assert 'str_col' in info.dtypes

mcp-servers/data-platform/tests/test_dbt_tools.py

@@ -0,0 +1,318 @@
+"""
+Unit tests for dbt MCP tools.
+"""
+import pytest
+from unittest.mock import Mock, patch, MagicMock
+import subprocess
+import json
+import tempfile
+import os
+
+
+@pytest.fixture
+def mock_config(tmp_path):
+    """Mock configuration with dbt project"""
+    dbt_dir = tmp_path / 'dbt_project'
+    dbt_dir.mkdir()
+    (dbt_dir / 'dbt_project.yml').write_text('name: test_project\n')
+
+    return {
+        'dbt_project_dir': str(dbt_dir),
+        'dbt_profiles_dir': str(tmp_path / '.dbt')
+    }
+
+
+@pytest.fixture
+def dbt_tools(mock_config):
+    """Create DbtTools instance with mocked config"""
+    with patch('mcp_server.dbt_tools.load_config', return_value=mock_config):
+        from mcp_server.dbt_tools import DbtTools
+
+        tools = DbtTools()
+        tools.project_dir = mock_config['dbt_project_dir']
+        tools.profiles_dir = mock_config['dbt_profiles_dir']
+        return tools
+
+
+@pytest.mark.asyncio
+async def test_dbt_parse_success(dbt_tools):
+    """Test successful dbt parse"""
+    mock_result = MagicMock()
+    mock_result.returncode = 0
+    mock_result.stdout = 'Parsed successfully'
+    mock_result.stderr = ''
+
+    with patch('subprocess.run', return_value=mock_result):
+        result = await dbt_tools.dbt_parse()
+
+    assert result['valid'] is True
+
+
+@pytest.mark.asyncio
+async def test_dbt_parse_failure(dbt_tools):
+    """Test dbt parse with errors"""
+    mock_result = MagicMock()
+    mock_result.returncode = 1
+    mock_result.stdout = ''
+    mock_result.stderr = 'Compilation error: deprecated syntax'
+
+    with patch('subprocess.run', return_value=mock_result):
+        result = await dbt_tools.dbt_parse()
+
+    assert result['valid'] is False
+    assert 'deprecated' in str(result.get('details', '')).lower() or len(result.get('errors', [])) > 0
+
+
+@pytest.mark.asyncio
+async def test_dbt_run_with_prevalidation(dbt_tools):
+    """Test dbt run includes pre-validation"""
+    # First call is parse, second is run
+    mock_parse = MagicMock()
+    mock_parse.returncode = 0
+    mock_parse.stdout = 'OK'
+    mock_parse.stderr = ''
+
+    mock_run = MagicMock()
+    mock_run.returncode = 0
+    mock_run.stdout = 'Completed successfully'
+    mock_run.stderr = ''
+
+    with patch('subprocess.run', side_effect=[mock_parse, mock_run]):
+        result = await dbt_tools.dbt_run()
+
+    assert result['success'] is True
+
+
+@pytest.mark.asyncio
+async def test_dbt_run_fails_validation(dbt_tools):
+    """Test dbt run fails if validation fails"""
+    mock_parse = MagicMock()
+    mock_parse.returncode = 1
+    mock_parse.stdout = ''
+    mock_parse.stderr = 'Parse error'
+
+    with patch('subprocess.run', return_value=mock_parse):
+        result = await dbt_tools.dbt_run()
+
+    assert 'error' in result
+    assert 'Pre-validation failed' in result['error']
+
+
+@pytest.mark.asyncio
+async def test_dbt_run_with_selection(dbt_tools):
+    """Test dbt run with model selection"""
+    mock_parse = MagicMock()
+    mock_parse.returncode = 0
+    mock_parse.stdout = 'OK'
+    mock_parse.stderr = ''
+
+    mock_run = MagicMock()
+    mock_run.returncode = 0
+    mock_run.stdout = 'Completed'
+    mock_run.stderr = ''
+
+    calls = []
+
+    def track_calls(*args, **kwargs):
+        calls.append(args[0] if args else kwargs.get('args', []))
+        if len(calls) == 1:
+            return mock_parse
+        return mock_run
+
+    with patch('subprocess.run', side_effect=track_calls):
+        result = await dbt_tools.dbt_run(select='dim_customers')
+
+    # Verify --select was passed
+    assert any('--select' in str(call) for call in calls)
+
+
+@pytest.mark.asyncio
+async def test_dbt_test(dbt_tools):
+    """Test dbt test"""
+    mock_result = MagicMock()
+    mock_result.returncode = 0
+    mock_result.stdout = 'All tests passed'
+    mock_result.stderr = ''
+
+    with patch('subprocess.run', return_value=mock_result):
+        result = await dbt_tools.dbt_test()
+
+    assert result['success'] is True
+
+
+@pytest.mark.asyncio
+async def test_dbt_build(dbt_tools):
+    """Test dbt build with pre-validation"""
+    mock_parse = MagicMock()
+    mock_parse.returncode = 0
+    mock_parse.stdout = 'OK'
+    mock_parse.stderr = ''
+
+    mock_build = MagicMock()
+    mock_build.returncode = 0
+    mock_build.stdout = 'Build complete'
+    mock_build.stderr = ''
+
+    with patch('subprocess.run', side_effect=[mock_parse, mock_build]):
+        result = await dbt_tools.dbt_build()
+
+    assert result['success'] is True
+
+
+@pytest.mark.asyncio
+async def test_dbt_compile(dbt_tools):
+    """Test dbt compile"""
+    mock_result = MagicMock()
+    mock_result.returncode = 0
+    mock_result.stdout = 'Compiled'
+    mock_result.stderr = ''
+
+    with patch('subprocess.run', return_value=mock_result):
+        result = await dbt_tools.dbt_compile()
+
+    assert result['success'] is True
+
+
+@pytest.mark.asyncio
+async def test_dbt_ls(dbt_tools):
+    """Test dbt ls"""
+    mock_result = MagicMock()
+    mock_result.returncode = 0
+    mock_result.stdout = 'dim_customers\ndim_products\nfct_orders\n'
+    mock_result.stderr = ''
+
+    with patch('subprocess.run', return_value=mock_result):
+        result = await dbt_tools.dbt_ls()
+
+    assert result['success'] is True
+    assert result['count'] == 3
+    assert 'dim_customers' in result['resources']
+
+
+@pytest.mark.asyncio
+async def test_dbt_docs_generate(dbt_tools, tmp_path):
+    """Test dbt docs generate"""
+    mock_result = MagicMock()
+    mock_result.returncode = 0
+    mock_result.stdout = 'Done'
+    mock_result.stderr = ''
+
+    # Create fake target directory
+    target_dir = tmp_path / 'dbt_project' / 'target'
+    target_dir.mkdir(parents=True)
+    (target_dir / 'catalog.json').write_text('{}')
+    (target_dir / 'manifest.json').write_text('{}')
+
+    dbt_tools.project_dir = str(tmp_path / 'dbt_project')
+
+    with patch('subprocess.run', return_value=mock_result):
+        result = await dbt_tools.dbt_docs_generate()
+
+    assert result['success'] is True
+    assert result['catalog_generated'] is True
+    assert result['manifest_generated'] is True
+
+
+@pytest.mark.asyncio
+async def test_dbt_lineage(dbt_tools, tmp_path):
+    """Test dbt lineage"""
+    # Create manifest
+    target_dir = tmp_path / 'dbt_project' / 'target'
+    target_dir.mkdir(parents=True)
+
+    manifest = {
+        'nodes': {
+            'model.test.dim_customers': {
+                'name': 'dim_customers',
+                'resource_type': 'model',
+                'schema': 'public',
+                'database': 'testdb',
+                'description': 'Customer dimension',
+                'tags': ['daily'],
+                'config': {'materialized': 'table'},
+                'depends_on': {
+                    'nodes': ['model.test.stg_customers']
+                }
+            },
+            'model.test.stg_customers': {
+                'name': 'stg_customers',
+                'resource_type': 'model',
+                'depends_on': {'nodes': []}
+            },
+            'model.test.fct_orders': {
+                'name': 'fct_orders',
+                'resource_type': 'model',
+                'depends_on': {
+                    'nodes': ['model.test.dim_customers']
+                }
+            }
+        }
+    }
+    (target_dir / 'manifest.json').write_text(json.dumps(manifest))
+
+    dbt_tools.project_dir = str(tmp_path / 'dbt_project')
+
+    result = await dbt_tools.dbt_lineage('dim_customers')
+
+    assert result['model'] == 'dim_customers'
+    assert 'model.test.stg_customers' in result['upstream']
+    assert 'model.test.fct_orders' in result['downstream']
+
+
+@pytest.mark.asyncio
+async def test_dbt_lineage_model_not_found(dbt_tools, tmp_path):
+    """Test dbt lineage with nonexistent model"""
+    target_dir = tmp_path / 'dbt_project' / 'target'
+    target_dir.mkdir(parents=True)
+
+    manifest = {
+        'nodes': {
+            'model.test.dim_customers': {
+                'name': 'dim_customers',
+                'resource_type': 'model'
+            }
+        }
+    }
+    (target_dir / 'manifest.json').write_text(json.dumps(manifest))
+
+    dbt_tools.project_dir = str(tmp_path / 'dbt_project')
+
+    result = await dbt_tools.dbt_lineage('nonexistent_model')
+
+    assert 'error' in result
+    assert 'not found' in result['error'].lower()
+
+
+@pytest.mark.asyncio
+async def test_dbt_no_project():
+    """Test dbt tools when no project configured"""
+    with patch('mcp_server.dbt_tools.load_config', return_value={'dbt_project_dir': None}):
+        from mcp_server.dbt_tools import DbtTools
+
+        tools = DbtTools()
+        tools.project_dir = None
+
+        result = await tools.dbt_run()
+
+    assert 'error' in result
+    assert 'not found' in result['error'].lower()
+
+
+@pytest.mark.asyncio
+async def test_dbt_timeout(dbt_tools):
+    """Test dbt command timeout handling"""
+    with patch('subprocess.run', side_effect=subprocess.TimeoutExpired('dbt', 300)):
+        result = await dbt_tools.dbt_parse()
+
+    assert 'error' in result
+    assert 'timed out' in result['error'].lower()
+
+
+@pytest.mark.asyncio
+async def test_dbt_not_installed(dbt_tools):
+    """Test handling when dbt is not installed"""
+    with patch('subprocess.run', side_effect=FileNotFoundError()):
+        result = await dbt_tools.dbt_parse()
+
+    assert 'error' in result
+    assert 'not found' in result['error'].lower()

mcp-servers/data-platform/tests/test_pandas_tools.py

@@ -0,0 +1,301 @@
+"""
+Unit tests for pandas MCP tools.
+"""
+import pytest
+import pandas as pd
+import tempfile
+import os
+from pathlib import Path
+
+
+@pytest.fixture
+def temp_csv(tmp_path):
+    """Create a temporary CSV file for testing"""
+    csv_path = tmp_path / 'test.csv'
+    df = pd.DataFrame({
+        'id': [1, 2, 3, 4, 5],
+        'name': ['Alice', 'Bob', 'Charlie', 'Diana', 'Eve'],
+        'value': [10.5, 20.0, 30.5, 40.0, 50.5]
+    })
+    df.to_csv(csv_path, index=False)
+    return str(csv_path)
+
+
+@pytest.fixture
+def temp_parquet(tmp_path):
+    """Create a temporary Parquet file for testing"""
+    parquet_path = tmp_path / 'test.parquet'
+    df = pd.DataFrame({
+        'id': [1, 2, 3],
+        'data': ['a', 'b', 'c']
+    })
+    df.to_parquet(parquet_path)
+    return str(parquet_path)
+
+
+@pytest.fixture
+def temp_json(tmp_path):
+    """Create a temporary JSON file for testing"""
+    json_path = tmp_path / 'test.json'
+    df = pd.DataFrame({
+        'x': [1, 2],
+        'y': [3, 4]
+    })
+    df.to_json(json_path, orient='records')
+    return str(json_path)
+
+
+@pytest.fixture
+def pandas_tools():
+    """Create PandasTools instance with fresh store"""
+    from mcp_server.pandas_tools import PandasTools
+    from mcp_server.data_store import DataStore
+
+    # Reset store for test isolation
+    store = DataStore.get_instance()
+    store._dataframes = {}
+    store._metadata = {}
+
+    return PandasTools()
+
+
+@pytest.mark.asyncio
+async def test_read_csv(pandas_tools, temp_csv):
+    """Test reading CSV file"""
+    result = await pandas_tools.read_csv(temp_csv, name='csv_test')
+
+    assert 'data_ref' in result
+    assert result['data_ref'] == 'csv_test'
+    assert result['rows'] == 5
+    assert 'id' in result['columns']
+    assert 'name' in result['columns']
+
+
+@pytest.mark.asyncio
+async def test_read_csv_nonexistent(pandas_tools):
+    """Test reading nonexistent CSV file"""
+    result = await pandas_tools.read_csv('/nonexistent/path.csv')
+
+    assert 'error' in result
+    assert 'not found' in result['error'].lower()
+
+
+@pytest.mark.asyncio
+async def test_read_parquet(pandas_tools, temp_parquet):
+    """Test reading Parquet file"""
+    result = await pandas_tools.read_parquet(temp_parquet, name='parquet_test')
+
+    assert 'data_ref' in result
+    assert result['rows'] == 3
+
+
+@pytest.mark.asyncio
+async def test_read_json(pandas_tools, temp_json):
+    """Test reading JSON file"""
+    result = await pandas_tools.read_json(temp_json, name='json_test')
+
+    assert 'data_ref' in result
+    assert result['rows'] == 2
+
+
+@pytest.mark.asyncio
+async def test_to_csv(pandas_tools, temp_csv, tmp_path):
+    """Test exporting to CSV"""
+    # First load some data
+    await pandas_tools.read_csv(temp_csv, name='export_test')
+
+    # Export to new file
+    output_path = str(tmp_path / 'output.csv')
+    result = await pandas_tools.to_csv('export_test', output_path)
+
+    assert result['success'] is True
+    assert os.path.exists(output_path)
+
+
+@pytest.mark.asyncio
+async def test_to_parquet(pandas_tools, temp_csv, tmp_path):
+    """Test exporting to Parquet"""
+    await pandas_tools.read_csv(temp_csv, name='parquet_export')
+
+    output_path = str(tmp_path / 'output.parquet')
+    result = await pandas_tools.to_parquet('parquet_export', output_path)
+
+    assert result['success'] is True
+    assert os.path.exists(output_path)
+
+
+@pytest.mark.asyncio
+async def test_describe(pandas_tools, temp_csv):
+    """Test describe statistics"""
+    await pandas_tools.read_csv(temp_csv, name='describe_test')
+
+    result = await pandas_tools.describe('describe_test')
+
+    assert 'data_ref' in result
+    assert 'shape' in result
+    assert result['shape']['rows'] == 5
+    assert 'statistics' in result
+    assert 'null_counts' in result
+
+
+@pytest.mark.asyncio
+async def test_head(pandas_tools, temp_csv):
+    """Test getting first N rows"""
+    await pandas_tools.read_csv(temp_csv, name='head_test')
+
+    result = await pandas_tools.head('head_test', n=3)
+
+    assert result['returned_rows'] == 3
+    assert len(result['data']) == 3
+
+
+@pytest.mark.asyncio
+async def test_tail(pandas_tools, temp_csv):
+    """Test getting last N rows"""
+    await pandas_tools.read_csv(temp_csv, name='tail_test')
+
+    result = await pandas_tools.tail('tail_test', n=2)
+
+    assert result['returned_rows'] == 2
+
+
+@pytest.mark.asyncio
+async def test_filter(pandas_tools, temp_csv):
+    """Test filtering rows"""
+    await pandas_tools.read_csv(temp_csv, name='filter_test')
+
+    result = await pandas_tools.filter('filter_test', 'value > 25')
+
+    assert 'data_ref' in result
+    assert result['rows'] == 3  # 30.5, 40.0, 50.5
+
+
+@pytest.mark.asyncio
+async def test_filter_invalid_condition(pandas_tools, temp_csv):
+    """Test filter with invalid condition"""
+    await pandas_tools.read_csv(temp_csv, name='filter_error')
+
+    result = await pandas_tools.filter('filter_error', 'invalid_column > 0')
+
+    assert 'error' in result
+
+
+@pytest.mark.asyncio
+async def test_select(pandas_tools, temp_csv):
+    """Test selecting columns"""
+    await pandas_tools.read_csv(temp_csv, name='select_test')
+
+    result = await pandas_tools.select('select_test', ['id', 'name'])
+
+    assert 'data_ref' in result
+    assert result['columns'] == ['id', 'name']
+
+
+@pytest.mark.asyncio
+async def test_select_invalid_column(pandas_tools, temp_csv):
+    """Test select with invalid column"""
+    await pandas_tools.read_csv(temp_csv, name='select_error')
+
+    result = await pandas_tools.select('select_error', ['id', 'nonexistent'])
+
+    assert 'error' in result
+    assert 'available_columns' in result
+
+
+@pytest.mark.asyncio
+async def test_groupby(pandas_tools, tmp_path):
+    """Test groupby aggregation"""
+    # Create test data with groups
+    csv_path = tmp_path / 'groupby.csv'
+    df = pd.DataFrame({
+        'category': ['A', 'A', 'B', 'B'],
+        'value': [10, 20, 30, 40]
+    })
+    df.to_csv(csv_path, index=False)
+
+    await pandas_tools.read_csv(str(csv_path), name='groupby_test')
+
+    result = await pandas_tools.groupby(
+        'groupby_test',
+        by='category',
+        agg={'value': 'sum'}
+    )
+
+    assert 'data_ref' in result
+    assert result['rows'] == 2  # Two groups: A, B
+
+
+@pytest.mark.asyncio
+async def test_join(pandas_tools, tmp_path):
+    """Test joining DataFrames"""
+    # Create left table
+    left_path = tmp_path / 'left.csv'
+    pd.DataFrame({
+        'id': [1, 2, 3],
+        'name': ['A', 'B', 'C']
+    }).to_csv(left_path, index=False)
+
+    # Create right table
+    right_path = tmp_path / 'right.csv'
+    pd.DataFrame({
+        'id': [1, 2, 4],
+        'value': [100, 200, 400]
+    }).to_csv(right_path, index=False)
+
+    await pandas_tools.read_csv(str(left_path), name='left')
+    await pandas_tools.read_csv(str(right_path), name='right')
+
+    result = await pandas_tools.join('left', 'right', on='id', how='inner')
+
+    assert 'data_ref' in result
+    assert result['rows'] == 2  # Only id 1 and 2 match
+
+
+@pytest.mark.asyncio
+async def test_list_data(pandas_tools, temp_csv):
+    """Test listing all DataFrames"""
+    await pandas_tools.read_csv(temp_csv, name='list_test1')
+    await pandas_tools.read_csv(temp_csv, name='list_test2')
+
+    result = await pandas_tools.list_data()
+
+    assert result['count'] == 2
+    refs = [df['ref'] for df in result['dataframes']]
+    assert 'list_test1' in refs
+    assert 'list_test2' in refs
+
+
+@pytest.mark.asyncio
+async def test_drop_data(pandas_tools, temp_csv):
+    """Test dropping DataFrame"""
+    await pandas_tools.read_csv(temp_csv, name='drop_test')
+
+    result = await pandas_tools.drop_data('drop_test')
+
+    assert result['success'] is True
+
+    # Verify it's gone
+    list_result = await pandas_tools.list_data()
+    refs = [df['ref'] for df in list_result['dataframes']]
+    assert 'drop_test' not in refs
+
+
+@pytest.mark.asyncio
+async def test_drop_nonexistent(pandas_tools):
+    """Test dropping nonexistent DataFrame"""
+    result = await pandas_tools.drop_data('nonexistent')
+
+    assert 'error' in result
+
+
+@pytest.mark.asyncio
+async def test_operations_on_nonexistent(pandas_tools):
+    """Test operations on nonexistent data_ref"""
+    result = await pandas_tools.describe('nonexistent')
+    assert 'error' in result
+
+    result = await pandas_tools.head('nonexistent')
+    assert 'error' in result
+
+    result = await pandas_tools.filter('nonexistent', 'x > 0')
+    assert 'error' in result

mcp-servers/data-platform/tests/test_postgres_tools.py

@@ -0,0 +1,338 @@
+"""
+Unit tests for PostgreSQL MCP tools.
+"""
+import pytest
+from unittest.mock import Mock, AsyncMock, patch, MagicMock
+import pandas as pd
+
+
+@pytest.fixture
+def mock_config():
+    """Mock configuration"""
+    return {
+        'postgres_url': 'postgresql://test:test@localhost:5432/testdb',
+        'max_rows': 100000
+    }
+
+
+@pytest.fixture
+def postgres_tools(mock_config):
+    """Create PostgresTools instance with mocked config"""
+    with patch('mcp_server.postgres_tools.load_config', return_value=mock_config):
+        from mcp_server.postgres_tools import PostgresTools
+        from mcp_server.data_store import DataStore
+
+        # Reset store
+        store = DataStore.get_instance()
+        store._dataframes = {}
+        store._metadata = {}
+
+        tools = PostgresTools()
+        tools.config = mock_config
+        return tools
+
+
+@pytest.mark.asyncio
+async def test_pg_connect_no_config():
+    """Test pg_connect when no PostgreSQL configured"""
+    with patch('mcp_server.postgres_tools.load_config', return_value={'postgres_url': None}):
+        from mcp_server.postgres_tools import PostgresTools
+
+        tools = PostgresTools()
+        tools.config = {'postgres_url': None}
+
+        result = await tools.pg_connect()
+
+        assert result['connected'] is False
+        assert 'not configured' in result['error'].lower()
+
+
+@pytest.mark.asyncio
+async def test_pg_connect_success(postgres_tools):
+    """Test successful pg_connect"""
+    mock_conn = AsyncMock()
+    mock_conn.fetchval = AsyncMock(side_effect=[
+        'PostgreSQL 15.1',  # version
+        'testdb',           # database name
+        'testuser',         # user
+        None                # PostGIS check fails
+    ])
+    mock_conn.close = AsyncMock()
+
+    # Create proper async context manager
+    mock_cm = AsyncMock()
+    mock_cm.__aenter__ = AsyncMock(return_value=mock_conn)
+    mock_cm.__aexit__ = AsyncMock(return_value=None)
+
+    mock_pool = MagicMock()
+    mock_pool.acquire = MagicMock(return_value=mock_cm)
+
+    # Use AsyncMock for create_pool since it's awaited
+    with patch('asyncpg.create_pool', new=AsyncMock(return_value=mock_pool)):
+        postgres_tools.pool = None
+        result = await postgres_tools.pg_connect()
+
+    assert result['connected'] is True
+    assert result['database'] == 'testdb'
+
+
+@pytest.mark.asyncio
+async def test_pg_query_success(postgres_tools):
+    """Test successful pg_query"""
+    mock_rows = [
+        {'id': 1, 'name': 'Alice'},
+        {'id': 2, 'name': 'Bob'}
+    ]
+
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(return_value=mock_rows)
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.pg_query('SELECT * FROM users', name='users_data')
+
+    assert 'data_ref' in result
+    assert result['rows'] == 2
+
+
+@pytest.mark.asyncio
+async def test_pg_query_empty_result(postgres_tools):
+    """Test pg_query with no results"""
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(return_value=[])
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.pg_query('SELECT * FROM empty_table')
+
+    assert result['data_ref'] is None
+    assert result['rows'] == 0
+
+
+@pytest.mark.asyncio
+async def test_pg_execute_success(postgres_tools):
+    """Test successful pg_execute"""
+    mock_conn = AsyncMock()
+    mock_conn.execute = AsyncMock(return_value='INSERT 0 3')
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.pg_execute('INSERT INTO users VALUES (1, 2, 3)')
+
+    assert result['success'] is True
+    assert result['affected_rows'] == 3
+    assert result['command'] == 'INSERT'
+
+
+@pytest.mark.asyncio
+async def test_pg_tables(postgres_tools):
+    """Test listing tables"""
+    mock_rows = [
+        {'table_name': 'users', 'table_type': 'BASE TABLE', 'column_count': 5},
+        {'table_name': 'orders', 'table_type': 'BASE TABLE', 'column_count': 8}
+    ]
+
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(return_value=mock_rows)
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.pg_tables(schema='public')
+
+    assert result['schema'] == 'public'
+    assert result['count'] == 2
+    assert len(result['tables']) == 2
+
+
+@pytest.mark.asyncio
+async def test_pg_columns(postgres_tools):
+    """Test getting column info"""
+    mock_rows = [
+        {
+            'column_name': 'id',
+            'data_type': 'integer',
+            'udt_name': 'int4',
+            'is_nullable': 'NO',
+            'column_default': "nextval('users_id_seq'::regclass)",
+            'character_maximum_length': None,
+            'numeric_precision': 32
+        },
+        {
+            'column_name': 'name',
+            'data_type': 'character varying',
+            'udt_name': 'varchar',
+            'is_nullable': 'YES',
+            'column_default': None,
+            'character_maximum_length': 255,
+            'numeric_precision': None
+        }
+    ]
+
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(return_value=mock_rows)
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.pg_columns(table='users')
+
+    assert result['table'] == 'public.users'
+    assert result['column_count'] == 2
+    assert result['columns'][0]['name'] == 'id'
+    assert result['columns'][0]['nullable'] is False
+
+
+@pytest.mark.asyncio
+async def test_pg_schemas(postgres_tools):
+    """Test listing schemas"""
+    mock_rows = [
+        {'schema_name': 'public'},
+        {'schema_name': 'app'}
+    ]
+
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(return_value=mock_rows)
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.pg_schemas()
+
+    assert result['count'] == 2
+    assert 'public' in result['schemas']
+
+
+@pytest.mark.asyncio
+async def test_st_tables(postgres_tools):
+    """Test listing PostGIS tables"""
+    mock_rows = [
+        {
+            'table_name': 'locations',
+            'geometry_column': 'geom',
+            'geometry_type': 'POINT',
+            'srid': 4326,
+            'coord_dimension': 2
+        }
+    ]
+
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(return_value=mock_rows)
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.st_tables()
+
+    assert result['count'] == 1
+    assert result['postgis_tables'][0]['table'] == 'locations'
+    assert result['postgis_tables'][0]['srid'] == 4326
+
+
+@pytest.mark.asyncio
+async def test_st_tables_no_postgis(postgres_tools):
+    """Test st_tables when PostGIS not installed"""
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(side_effect=Exception("relation \"geometry_columns\" does not exist"))
+
+    # Create proper async context manager
+    mock_cm = AsyncMock()
+    mock_cm.__aenter__ = AsyncMock(return_value=mock_conn)
+    mock_cm.__aexit__ = AsyncMock(return_value=None)
+
+    mock_pool = MagicMock()
+    mock_pool.acquire = MagicMock(return_value=mock_cm)
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.st_tables()
+
+    assert 'error' in result
+    assert 'PostGIS' in result['error']
+
+
+@pytest.mark.asyncio
+async def test_st_extent(postgres_tools):
+    """Test getting geometry bounding box"""
+    mock_row = {
+        'xmin': -122.5,
+        'ymin': 37.5,
+        'xmax': -122.0,
+        'ymax': 38.0
+    }
+
+    mock_conn = AsyncMock()
+    mock_conn.fetchrow = AsyncMock(return_value=mock_row)
+
+    mock_pool = AsyncMock()
+    mock_pool.acquire = MagicMock(return_value=AsyncMock(
+        __aenter__=AsyncMock(return_value=mock_conn),
+        __aexit__=AsyncMock()
+    ))
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.st_extent(table='locations', column='geom')
+
+    assert result['bbox']['xmin'] == -122.5
+    assert result['bbox']['ymax'] == 38.0
+
+
+@pytest.mark.asyncio
+async def test_error_handling(postgres_tools):
+    """Test error handling for database errors"""
+    mock_conn = AsyncMock()
+    mock_conn.fetch = AsyncMock(side_effect=Exception("Connection refused"))
+
+    # Create proper async context manager
+    mock_cm = AsyncMock()
+    mock_cm.__aenter__ = AsyncMock(return_value=mock_conn)
+    mock_cm.__aexit__ = AsyncMock(return_value=None)
+
+    mock_pool = MagicMock()
+    mock_pool.acquire = MagicMock(return_value=mock_cm)
+
+    postgres_tools.pool = mock_pool
+
+    result = await postgres_tools.pg_query('SELECT 1')
+
+    assert 'error' in result
+    assert 'Connection refused' in result['error']

mcp-servers/gitea/mcp_server/gitea_client.py

@@ -239,8 +239,11 @@ class GiteaClient:
         repo: Optional[str] = None
     ) -> Dict:
         """Get a specific wiki page by name."""
+        from urllib.parse import quote
         owner, target_repo = self._parse_repo(repo)
-        url = f"{self.base_url}/repos/{owner}/{target_repo}/wiki/page/{page_name}"
+        # URL-encode the page_name to handle special characters like ':'
+        encoded_page_name = quote(page_name, safe='')
+        url = f"{self.base_url}/repos/{owner}/{target_repo}/wiki/page/{encoded_page_name}"
         logger.info(f"Getting wiki page '{page_name}' from {owner}/{target_repo}")
         response = self.session.get(url)
         response.raise_for_status()
@@ -271,9 +274,13 @@ class GiteaClient:
         repo: Optional[str] = None
     ) -> Dict:
         """Update an existing wiki page."""
+        from urllib.parse import quote
         owner, target_repo = self._parse_repo(repo)
-        url = f"{self.base_url}/repos/{owner}/{target_repo}/wiki/page/{page_name}"
+        # URL-encode the page_name to handle special characters like ':'
+        encoded_page_name = quote(page_name, safe='')
+        url = f"{self.base_url}/repos/{owner}/{target_repo}/wiki/page/{encoded_page_name}"
         data = {
+            'title': page_name,  # CRITICAL: include title to preserve page name
             'content_base64': self._encode_base64(content)
         }
         logger.info(f"Updating wiki page '{page_name}' in {owner}/{target_repo}")
@@ -287,8 +294,11 @@ class GiteaClient:
         repo: Optional[str] = None
     ) -> bool:
         """Delete a wiki page."""
+        from urllib.parse import quote
         owner, target_repo = self._parse_repo(repo)
-        url = f"{self.base_url}/repos/{owner}/{target_repo}/wiki/page/{page_name}"
+        # URL-encode the page_name to handle special characters like ':'
+        encoded_page_name = quote(page_name, safe='')
+        url = f"{self.base_url}/repos/{owner}/{target_repo}/wiki/page/{encoded_page_name}"
         logger.info(f"Deleting wiki page '{page_name}' from {owner}/{target_repo}")
         response = self.session.delete(url)
         response.raise_for_status()

mcp-servers/viz-platform/mcp_server/__init__.py

@@ -0,0 +1,7 @@
+"""
+viz-platform MCP Server package.
+
+Provides Dash Mantine Components validation and visualization tools to Claude Code.
+"""
+
+__version__ = "1.0.0"

mcp-servers/viz-platform/mcp_server/chart_tools.py

@@ -0,0 +1,397 @@
+"""
+Chart creation tools using Plotly.
+
+Provides tools for creating data visualizations with automatic theme integration.
+"""
+import logging
+from typing import Dict, List, Optional, Any, Union
+
+logger = logging.getLogger(__name__)
+
+
+# Default color palette based on Mantine theme
+DEFAULT_COLORS = [
+    "#228be6",  # blue
+    "#40c057",  # green
+    "#fa5252",  # red
+    "#fab005",  # yellow
+    "#7950f2",  # violet
+    "#fd7e14",  # orange
+    "#20c997",  # teal
+    "#f783ac",  # pink
+    "#868e96",  # gray
+    "#15aabf",  # cyan
+]
+
+
+class ChartTools:
+    """
+    Plotly-based chart creation tools.
+
+    Creates charts that integrate with DMC theming system.
+    """
+
+    def __init__(self, theme_store=None):
+        """
+        Initialize chart tools.
+
+        Args:
+            theme_store: Optional ThemeStore for theme token resolution
+        """
+        self.theme_store = theme_store
+        self._active_theme = None
+
+    def set_theme(self, theme: Dict[str, Any]) -> None:
+        """Set the active theme for chart styling."""
+        self._active_theme = theme
+
+    def _get_color_palette(self) -> List[str]:
+        """Get color palette from theme or defaults."""
+        if self._active_theme and 'colors' in self._active_theme:
+            colors = self._active_theme['colors']
+            # Extract primary colors from theme
+            palette = []
+            for key in ['primary', 'secondary', 'success', 'warning', 'error']:
+                if key in colors:
+                    palette.append(colors[key])
+            if palette:
+                return palette + DEFAULT_COLORS[len(palette):]
+        return DEFAULT_COLORS
+
+    def _resolve_color(self, color: Optional[str]) -> str:
+        """Resolve a color token to actual color value."""
+        if not color:
+            return self._get_color_palette()[0]
+
+        # Check if it's a theme token
+        if self._active_theme and 'colors' in self._active_theme:
+            colors = self._active_theme['colors']
+            if color in colors:
+                return colors[color]
+
+        # Check if it's already a valid color
+        if color.startswith('#') or color.startswith('rgb'):
+            return color
+
+        # Map common color names to palette
+        color_map = {
+            'blue': DEFAULT_COLORS[0],
+            'green': DEFAULT_COLORS[1],
+            'red': DEFAULT_COLORS[2],
+            'yellow': DEFAULT_COLORS[3],
+            'violet': DEFAULT_COLORS[4],
+            'orange': DEFAULT_COLORS[5],
+            'teal': DEFAULT_COLORS[6],
+            'pink': DEFAULT_COLORS[7],
+            'gray': DEFAULT_COLORS[8],
+            'cyan': DEFAULT_COLORS[9],
+        }
+        return color_map.get(color, color)
+
+    async def chart_create(
+        self,
+        chart_type: str,
+        data: Dict[str, Any],
+        options: Optional[Dict[str, Any]] = None
+    ) -> Dict[str, Any]:
+        """
+        Create a Plotly chart.
+
+        Args:
+            chart_type: Type of chart (line, bar, scatter, pie, heatmap, histogram, area)
+            data: Data specification with x, y values or labels/values for pie
+            options: Optional chart options (title, color, layout settings)
+
+        Returns:
+            Dict with:
+                - figure: Plotly figure JSON
+                - chart_type: Type of chart created
+                - error: Error message if creation failed
+        """
+        options = options or {}
+
+        # Validate chart type
+        valid_types = ['line', 'bar', 'scatter', 'pie', 'heatmap', 'histogram', 'area']
+        if chart_type not in valid_types:
+            return {
+                "error": f"Invalid chart_type '{chart_type}'. Must be one of: {valid_types}",
+                "chart_type": chart_type,
+                "figure": None
+            }
+
+        try:
+            # Build trace based on chart type
+            trace = self._build_trace(chart_type, data, options)
+            if 'error' in trace:
+                return trace
+
+            # Build layout
+            layout = self._build_layout(options)
+
+            # Create figure structure
+            figure = {
+                "data": [trace],
+                "layout": layout
+            }
+
+            return {
+                "figure": figure,
+                "chart_type": chart_type,
+                "trace_count": 1
+            }
+
+        except Exception as e:
+            logger.error(f"Chart creation failed: {e}")
+            return {
+                "error": str(e),
+                "chart_type": chart_type,
+                "figure": None
+            }
+
+    def _build_trace(
+        self,
+        chart_type: str,
+        data: Dict[str, Any],
+        options: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """Build Plotly trace for the chart type."""
+        color = self._resolve_color(options.get('color'))
+        palette = self._get_color_palette()
+
+        # Common trace properties
+        trace: Dict[str, Any] = {}
+
+        if chart_type == 'line':
+            trace = {
+                "type": "scatter",
+                "mode": "lines+markers",
+                "x": data.get('x', []),
+                "y": data.get('y', []),
+                "line": {"color": color},
+                "marker": {"color": color}
+            }
+            if 'name' in data:
+                trace['name'] = data['name']
+
+        elif chart_type == 'bar':
+            trace = {
+                "type": "bar",
+                "x": data.get('x', []),
+                "y": data.get('y', []),
+                "marker": {"color": color}
+            }
+            if options.get('horizontal'):
+                trace['orientation'] = 'h'
+                trace['x'], trace['y'] = trace['y'], trace['x']
+            if 'name' in data:
+                trace['name'] = data['name']
+
+        elif chart_type == 'scatter':
+            trace = {
+                "type": "scatter",
+                "mode": "markers",
+                "x": data.get('x', []),
+                "y": data.get('y', []),
+                "marker": {
+                    "color": color,
+                    "size": options.get('marker_size', 10)
+                }
+            }
+            if 'size' in data:
+                trace['marker']['size'] = data['size']
+            if 'name' in data:
+                trace['name'] = data['name']
+
+        elif chart_type == 'pie':
+            labels = data.get('labels', data.get('x', []))
+            values = data.get('values', data.get('y', []))
+            trace = {
+                "type": "pie",
+                "labels": labels,
+                "values": values,
+                "marker": {"colors": palette[:len(labels)]}
+            }
+            if options.get('donut'):
+                trace['hole'] = options.get('hole', 0.4)
+
+        elif chart_type == 'heatmap':
+            trace = {
+                "type": "heatmap",
+                "z": data.get('z', data.get('values', [])),
+                "x": data.get('x', []),
+                "y": data.get('y', []),
+                "colorscale": options.get('colorscale', 'Blues')
+            }
+
+        elif chart_type == 'histogram':
+            trace = {
+                "type": "histogram",
+                "x": data.get('x', data.get('values', [])),
+                "marker": {"color": color}
+            }
+            if 'nbins' in options:
+                trace['nbinsx'] = options['nbins']
+
+        elif chart_type == 'area':
+            trace = {
+                "type": "scatter",
+                "mode": "lines",
+                "x": data.get('x', []),
+                "y": data.get('y', []),
+                "fill": "tozeroy",
+                "line": {"color": color},
+                "fillcolor": color.replace(')', ', 0.3)').replace('rgb', 'rgba') if color.startswith('rgb') else color + '4D'
+            }
+            if 'name' in data:
+                trace['name'] = data['name']
+
+        else:
+            return {"error": f"Unsupported chart type: {chart_type}"}
+
+        return trace
+
+    def _build_layout(self, options: Dict[str, Any]) -> Dict[str, Any]:
+        """Build Plotly layout from options."""
+        layout: Dict[str, Any] = {
+            "autosize": True,
+            "margin": {"l": 50, "r": 30, "t": 50, "b": 50}
+        }
+
+        # Title
+        if 'title' in options:
+            layout['title'] = {
+                "text": options['title'],
+                "x": 0.5,
+                "xanchor": "center"
+            }
+
+        # Axis labels
+        if 'x_label' in options:
+            layout['xaxis'] = layout.get('xaxis', {})
+            layout['xaxis']['title'] = options['x_label']
+
+        if 'y_label' in options:
+            layout['yaxis'] = layout.get('yaxis', {})
+            layout['yaxis']['title'] = options['y_label']
+
+        # Theme-based styling
+        if self._active_theme:
+            colors = self._active_theme.get('colors', {})
+            bg = colors.get('background', {})
+
+            if isinstance(bg, dict):
+                layout['paper_bgcolor'] = bg.get('base', '#ffffff')
+                layout['plot_bgcolor'] = bg.get('subtle', '#f8f9fa')
+            elif isinstance(bg, str):
+                layout['paper_bgcolor'] = bg
+                layout['plot_bgcolor'] = bg
+
+            text_color = colors.get('text', {})
+            if isinstance(text_color, dict):
+                layout['font'] = {'color': text_color.get('primary', '#212529')}
+            elif isinstance(text_color, str):
+                layout['font'] = {'color': text_color}
+
+        # Additional layout options
+        if 'showlegend' in options:
+            layout['showlegend'] = options['showlegend']
+
+        if 'height' in options:
+            layout['height'] = options['height']
+
+        if 'width' in options:
+            layout['width'] = options['width']
+
+        return layout
+
+    async def chart_configure_interaction(
+        self,
+        figure: Dict[str, Any],
+        interactions: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Configure interactions for a chart.
+
+        Args:
+            figure: Plotly figure JSON to modify
+            interactions: Interaction configuration:
+                - hover_template: Custom hover text template
+                - click_data: Enable click data capture
+                - selection: Enable selection (box, lasso)
+                - zoom: Enable/disable zoom
+
+        Returns:
+            Dict with:
+                - figure: Updated figure JSON
+                - interactions_added: List of interactions configured
+                - error: Error message if configuration failed
+        """
+        if not figure or 'data' not in figure:
+            return {
+                "error": "Invalid figure: must contain 'data' key",
+                "figure": figure,
+                "interactions_added": []
+            }
+
+        try:
+            interactions_added = []
+
+            # Process each trace
+            for i, trace in enumerate(figure['data']):
+                # Hover template
+                if 'hover_template' in interactions:
+                    trace['hovertemplate'] = interactions['hover_template']
+                    if i == 0:
+                        interactions_added.append('hover_template')
+
+                # Custom hover info
+                if 'hover_info' in interactions:
+                    trace['hoverinfo'] = interactions['hover_info']
+                    if i == 0:
+                        interactions_added.append('hover_info')
+
+            # Layout-level interactions
+            layout = figure.get('layout', {})
+
+            # Click data (Dash callback integration)
+            if interactions.get('click_data', False):
+                layout['clickmode'] = 'event+select'
+                interactions_added.append('click_data')
+
+            # Selection mode
+            if 'selection' in interactions:
+                sel_mode = interactions['selection']
+                if sel_mode in ['box', 'lasso', 'box+lasso']:
+                    layout['dragmode'] = 'select' if sel_mode == 'box' else sel_mode
+                    interactions_added.append(f'selection:{sel_mode}')
+
+            # Zoom configuration
+            if 'zoom' in interactions:
+                if not interactions['zoom']:
+                    layout['xaxis'] = layout.get('xaxis', {})
+                    layout['yaxis'] = layout.get('yaxis', {})
+                    layout['xaxis']['fixedrange'] = True
+                    layout['yaxis']['fixedrange'] = True
+                    interactions_added.append('zoom:disabled')
+                else:
+                    interactions_added.append('zoom:enabled')
+
+            # Modebar configuration
+            if 'modebar' in interactions:
+                layout['modebar'] = interactions['modebar']
+                interactions_added.append('modebar')
+
+            figure['layout'] = layout
+
+            return {
+                "figure": figure,
+                "interactions_added": interactions_added
+            }
+
+        except Exception as e:
+            logger.error(f"Interaction configuration failed: {e}")
+            return {
+                "error": str(e),
+                "figure": figure,
+                "interactions_added": []
+            }

mcp-servers/viz-platform/mcp_server/component_registry.py

@@ -0,0 +1,301 @@
+"""
+DMC Component Registry for viz-platform.
+
+Provides version-locked component definitions to prevent Claude from
+hallucinating invalid props. Uses static JSON registries pre-generated
+from DMC source.
+"""
+import json
+import logging
+from pathlib import Path
+from typing import Dict, List, Optional, Any
+
+logger = logging.getLogger(__name__)
+
+
+class ComponentRegistry:
+    """
+    Version-locked registry of Dash Mantine Components.
+
+    Loads component definitions from static JSON files and provides
+    lookup methods for validation tools.
+    """
+
+    def __init__(self, dmc_version: Optional[str] = None):
+        """
+        Initialize the component registry.
+
+        Args:
+            dmc_version: Installed DMC version (e.g., "0.14.7").
+                        If None, will try to detect or use fallback.
+        """
+        self.dmc_version = dmc_version
+        self.registry_dir = Path(__file__).parent.parent / 'registry'
+        self.components: Dict[str, Dict[str, Any]] = {}
+        self.categories: Dict[str, List[str]] = {}
+        self.loaded_version: Optional[str] = None
+
+    def load(self) -> bool:
+        """
+        Load the component registry for the configured DMC version.
+
+        Returns:
+            True if registry loaded successfully, False otherwise
+        """
+        registry_file = self._find_registry_file()
+
+        if not registry_file:
+            logger.warning(
+                f"No registry found for DMC {self.dmc_version}. "
+                "Component validation will be limited."
+            )
+            return False
+
+        try:
+            with open(registry_file, 'r') as f:
+                data = json.load(f)
+
+            self.loaded_version = data.get('version')
+            self.components = data.get('components', {})
+            self.categories = data.get('categories', {})
+
+            logger.info(
+                f"Loaded component registry v{self.loaded_version} "
+                f"with {len(self.components)} components"
+            )
+            return True
+
+        except Exception as e:
+            logger.error(f"Failed to load registry: {e}")
+            return False
+
+    def _find_registry_file(self) -> Optional[Path]:
+        """
+        Find the best matching registry file for the DMC version.
+
+        Strategy:
+        1. Exact major.minor match (e.g., dmc_0_14.json for 0.14.7)
+        2. Fallback to latest available registry
+
+        Returns:
+            Path to registry file, or None if not found
+        """
+        if not self.registry_dir.exists():
+            logger.warning(f"Registry directory not found: {self.registry_dir}")
+            return None
+
+        # Try exact major.minor match
+        if self.dmc_version:
+            parts = self.dmc_version.split('.')
+            if len(parts) >= 2:
+                major_minor = f"{parts[0]}_{parts[1]}"
+                exact_match = self.registry_dir / f"dmc_{major_minor}.json"
+                if exact_match.exists():
+                    return exact_match
+
+        # Fallback: find latest registry
+        registry_files = list(self.registry_dir.glob("dmc_*.json"))
+        if registry_files:
+            # Sort by version and return latest
+            registry_files.sort(reverse=True)
+            fallback = registry_files[0]
+            if self.dmc_version:
+                logger.warning(
+                    f"No exact match for DMC {self.dmc_version}, "
+                    f"using fallback: {fallback.name}"
+                )
+            return fallback
+
+        return None
+
+    def get_component(self, name: str) -> Optional[Dict[str, Any]]:
+        """
+        Get component definition by name.
+
+        Args:
+            name: Component name (e.g., "Button", "TextInput")
+
+        Returns:
+            Component definition dict, or None if not found
+        """
+        return self.components.get(name)
+
+    def get_component_props(self, name: str) -> Optional[Dict[str, Any]]:
+        """
+        Get props schema for a component.
+
+        Args:
+            name: Component name
+
+        Returns:
+            Props dict with type info, or None if component not found
+        """
+        component = self.get_component(name)
+        if component:
+            return component.get('props', {})
+        return None
+
+    def list_components(self, category: Optional[str] = None) -> Dict[str, List[str]]:
+        """
+        List available components, optionally filtered by category.
+
+        Args:
+            category: Optional category filter (e.g., "inputs", "buttons")
+
+        Returns:
+            Dict of category -> component names
+        """
+        if category:
+            if category in self.categories:
+                return {category: self.categories[category]}
+            return {}
+        return self.categories
+
+    def get_categories(self) -> List[str]:
+        """
+        Get list of available component categories.
+
+        Returns:
+            List of category names
+        """
+        return list(self.categories.keys())
+
+    def validate_prop(
+        self,
+        component: str,
+        prop_name: str,
+        prop_value: Any
+    ) -> Dict[str, Any]:
+        """
+        Validate a single prop value against the registry.
+
+        Args:
+            component: Component name
+            prop_name: Prop name
+            prop_value: Value to validate
+
+        Returns:
+            Dict with valid: bool, error: Optional[str]
+        """
+        props = self.get_component_props(component)
+        if props is None:
+            return {
+                'valid': False,
+                'error': f"Unknown component: {component}"
+            }
+
+        if prop_name not in props:
+            # Check for similar prop names (typo detection)
+            similar = self._find_similar_props(prop_name, props.keys())
+            if similar:
+                return {
+                    'valid': False,
+                    'error': f"Unknown prop '{prop_name}' for {component}. Did you mean '{similar}'?"
+                }
+            return {
+                'valid': False,
+                'error': f"Unknown prop '{prop_name}' for {component}"
+            }
+
+        prop_schema = props[prop_name]
+        return self._validate_value(prop_value, prop_schema, prop_name)
+
+    def _validate_value(
+        self,
+        value: Any,
+        schema: Dict[str, Any],
+        prop_name: str
+    ) -> Dict[str, Any]:
+        """
+        Validate a value against a prop schema.
+
+        Args:
+            value: Value to validate
+            schema: Prop schema from registry
+            prop_name: Prop name (for error messages)
+
+        Returns:
+            Dict with valid: bool, error: Optional[str]
+        """
+        prop_type = schema.get('type', 'any')
+
+        # Any type always valid
+        if prop_type == 'any':
+            return {'valid': True}
+
+        # Check enum values
+        if 'enum' in schema:
+            if value not in schema['enum']:
+                return {
+                    'valid': False,
+                    'error': f"Prop '{prop_name}' expects one of {schema['enum']}, got '{value}'"
+                }
+            return {'valid': True}
+
+        # Type checking
+        type_checks = {
+            'string': lambda v: isinstance(v, str),
+            'number': lambda v: isinstance(v, (int, float)),
+            'integer': lambda v: isinstance(v, int),
+            'boolean': lambda v: isinstance(v, bool),
+            'array': lambda v: isinstance(v, list),
+            'object': lambda v: isinstance(v, dict),
+        }
+
+        checker = type_checks.get(prop_type)
+        if checker and not checker(value):
+            return {
+                'valid': False,
+                'error': f"Prop '{prop_name}' expects type '{prop_type}', got '{type(value).__name__}'"
+            }
+
+        return {'valid': True}
+
+    def _find_similar_props(
+        self,
+        prop_name: str,
+        available_props: List[str]
+    ) -> Optional[str]:
+        """
+        Find a similar prop name for typo suggestions.
+
+        Uses simple edit distance heuristic.
+
+        Args:
+            prop_name: The (possibly misspelled) prop name
+            available_props: List of valid prop names
+
+        Returns:
+            Most similar prop name, or None if no close match
+        """
+        prop_lower = prop_name.lower()
+
+        for prop in available_props:
+            # Exact match after lowercase
+            if prop.lower() == prop_lower:
+                return prop
+            # Common typos: extra/missing letter
+            if abs(len(prop) - len(prop_name)) == 1:
+                if prop_lower.startswith(prop.lower()[:3]):
+                    return prop
+
+        return None
+
+    def is_loaded(self) -> bool:
+        """Check if registry is loaded."""
+        return len(self.components) > 0
+
+
+def load_registry(dmc_version: Optional[str] = None) -> ComponentRegistry:
+    """
+    Convenience function to load and return a component registry.
+
+    Args:
+        dmc_version: Optional DMC version string
+
+    Returns:
+        Loaded ComponentRegistry instance
+    """
+    registry = ComponentRegistry(dmc_version)
+    registry.load()
+    return registry

mcp-servers/viz-platform/mcp_server/config.py

@@ -0,0 +1,172 @@
+"""
+Configuration loader for viz-platform MCP Server.
+
+Implements hybrid configuration system:
+- System-level: ~/.config/claude/viz-platform.env (theme preferences)
+- Project-level: .env (DMC version overrides)
+- Auto-detection: DMC package version from installed package
+"""
+from pathlib import Path
+from dotenv import load_dotenv
+import os
+import logging
+from typing import Dict, Optional
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+class VizPlatformConfig:
+    """Hybrid configuration loader for viz-platform tools"""
+
+    def __init__(self):
+        self.dmc_version: Optional[str] = None
+        self.theme_dir_user: Path = Path.home() / '.config' / 'claude' / 'themes'
+        self.theme_dir_project: Optional[Path] = None
+        self.default_theme: Optional[str] = None
+
+    def load(self) -> Dict[str, any]:
+        """
+        Load configuration from system and project levels.
+
+        Returns:
+            Dict containing dmc_version, theme directories, and availability flags
+        """
+        # Load system config
+        system_config = Path.home() / '.config' / 'claude' / 'viz-platform.env'
+        if system_config.exists():
+            load_dotenv(system_config)
+            logger.info(f"Loaded system configuration from {system_config}")
+
+        # Find project directory
+        project_dir = self._find_project_directory()
+
+        # Load project config (overrides system)
+        if project_dir:
+            project_config = project_dir / '.env'
+            if project_config.exists():
+                load_dotenv(project_config, override=True)
+                logger.info(f"Loaded project configuration from {project_config}")
+
+            # Set project theme directory
+            self.theme_dir_project = project_dir / '.viz-platform' / 'themes'
+
+        # Get DMC version (from env or auto-detect)
+        self.dmc_version = os.getenv('DMC_VERSION') or self._detect_dmc_version()
+        self.default_theme = os.getenv('VIZ_DEFAULT_THEME')
+
+        # Ensure user theme directory exists
+        self.theme_dir_user.mkdir(parents=True, exist_ok=True)
+
+        return {
+            'dmc_version': self.dmc_version,
+            'dmc_available': self.dmc_version is not None,
+            'theme_dir_user': str(self.theme_dir_user),
+            'theme_dir_project': str(self.theme_dir_project) if self.theme_dir_project else None,
+            'default_theme': self.default_theme,
+            'project_dir': str(project_dir) if project_dir else None
+        }
+
+    def _detect_dmc_version(self) -> Optional[str]:
+        """
+        Auto-detect installed Dash Mantine Components version.
+
+        Returns:
+            Version string (e.g., "0.14.7") or None if not installed
+        """
+        try:
+            from importlib.metadata import version
+            dmc_version = version('dash-mantine-components')
+            logger.info(f"Detected DMC version: {dmc_version}")
+            return dmc_version
+        except ImportError:
+            logger.warning("dash-mantine-components not installed - using registry fallback")
+            return None
+        except Exception as e:
+            logger.warning(f"Could not detect DMC version: {e}")
+            return None
+
+    def _find_project_directory(self) -> Optional[Path]:
+        """
+        Find the user's project directory.
+
+        Returns:
+            Path to project directory, or None if not found
+        """
+        # Strategy 1: Check CLAUDE_PROJECT_DIR environment variable
+        project_dir = os.getenv('CLAUDE_PROJECT_DIR')
+        if project_dir:
+            path = Path(project_dir)
+            if path.exists():
+                logger.info(f"Found project directory from CLAUDE_PROJECT_DIR: {path}")
+                return path
+
+        # Strategy 2: Check PWD
+        pwd = os.getenv('PWD')
+        if pwd:
+            path = Path(pwd)
+            if path.exists() and (
+                (path / '.git').exists() or
+                (path / '.env').exists() or
+                (path / '.viz-platform').exists()
+            ):
+                logger.info(f"Found project directory from PWD: {path}")
+                return path
+
+        # Strategy 3: Check current working directory
+        cwd = Path.cwd()
+        if (cwd / '.git').exists() or (cwd / '.env').exists() or (cwd / '.viz-platform').exists():
+            logger.info(f"Found project directory from cwd: {cwd}")
+            return cwd
+
+        logger.debug("Could not determine project directory")
+        return None
+
+
+def load_config() -> Dict[str, any]:
+    """
+    Convenience function to load configuration.
+
+    Returns:
+        Configuration dictionary
+    """
+    config = VizPlatformConfig()
+    return config.load()
+
+
+def check_dmc_version() -> Dict[str, any]:
+    """
+    Check DMC installation status for SessionStart hook.
+
+    Returns:
+        Dict with installation status and version info
+    """
+    config = load_config()
+
+    if not config.get('dmc_available'):
+        return {
+            'installed': False,
+            'message': 'dash-mantine-components not installed. Run: pip install dash-mantine-components'
+        }
+
+    version = config.get('dmc_version', 'unknown')
+
+    # Check for registry compatibility
+    registry_path = Path(__file__).parent.parent / 'registry'
+    major_minor = '.'.join(version.split('.')[:2]) if version else None
+    registry_file = registry_path / f'dmc_{major_minor.replace(".", "_")}.json' if major_minor else None
+
+    if registry_file and registry_file.exists():
+        return {
+            'installed': True,
+            'version': version,
+            'registry_available': True,
+            'message': f'DMC {version} ready with component registry'
+        }
+    else:
+        return {
+            'installed': True,
+            'version': version,
+            'registry_available': False,
+            'message': f'DMC {version} installed but no matching registry. Validation may be limited.'
+        }

mcp-servers/viz-platform/mcp_server/dmc_tools.py

@@ -0,0 +1,306 @@
+"""
+DMC (Dash Mantine Components) validation tools.
+
+Provides component constraint layer to prevent Claude from hallucinating invalid props.
+"""
+import logging
+from typing import Dict, List, Optional, Any
+
+from .component_registry import ComponentRegistry
+
+logger = logging.getLogger(__name__)
+
+
+class DMCTools:
+    """
+    DMC component validation tools.
+
+    These tools provide the "constraint layer" that validates component usage
+    against a version-locked registry of DMC components.
+    """
+
+    def __init__(self, registry: Optional[ComponentRegistry] = None):
+        """
+        Initialize DMC tools with component registry.
+
+        Args:
+            registry: ComponentRegistry instance. If None, creates one.
+        """
+        self.registry = registry
+        self._initialized = False
+
+    def initialize(self, dmc_version: Optional[str] = None) -> bool:
+        """
+        Initialize the registry if not already provided.
+
+        Args:
+            dmc_version: DMC version to load registry for
+
+        Returns:
+            True if initialized successfully
+        """
+        if self.registry is None:
+            self.registry = ComponentRegistry(dmc_version)
+
+        if not self.registry.is_loaded():
+            self.registry.load()
+
+        self._initialized = self.registry.is_loaded()
+        return self._initialized
+
+    async def list_components(
+        self,
+        category: Optional[str] = None
+    ) -> Dict[str, Any]:
+        """
+        List available DMC components, optionally filtered by category.
+
+        Args:
+            category: Optional category filter (e.g., "inputs", "buttons", "navigation")
+
+        Returns:
+            Dict with:
+                - components: Dict[category -> [component names]]
+                - categories: List of available categories
+                - version: Loaded DMC registry version
+                - total_count: Total number of components
+        """
+        if not self._initialized:
+            return {
+                "error": "Registry not initialized",
+                "components": {},
+                "categories": [],
+                "version": None,
+                "total_count": 0
+            }
+
+        components = self.registry.list_components(category)
+        all_categories = self.registry.get_categories()
+
+        # Count total components
+        total = sum(len(comps) for comps in components.values())
+
+        return {
+            "components": components,
+            "categories": all_categories if not category else [category],
+            "version": self.registry.loaded_version,
+            "total_count": total
+        }
+
+    async def get_component_props(self, component: str) -> Dict[str, Any]:
+        """
+        Get props schema for a specific component.
+
+        Args:
+            component: Component name (e.g., "Button", "TextInput")
+
+        Returns:
+            Dict with:
+                - component: Component name
+                - description: Component description
+                - props: Dict of prop name -> {type, default, enum, description}
+                - prop_count: Number of props
+                - required: List of required prop names
+            Or error dict if component not found
+        """
+        if not self._initialized:
+            return {
+                "error": "Registry not initialized",
+                "component": component,
+                "props": {},
+                "prop_count": 0
+            }
+
+        comp_def = self.registry.get_component(component)
+        if not comp_def:
+            # Try to suggest similar component name
+            similar = self._find_similar_component(component)
+            error_msg = f"Component '{component}' not found in registry"
+            if similar:
+                error_msg += f". Did you mean '{similar}'?"
+
+            return {
+                "error": error_msg,
+                "component": component,
+                "props": {},
+                "prop_count": 0
+            }
+
+        props = comp_def.get('props', {})
+
+        # Extract required props
+        required = [
+            name for name, schema in props.items()
+            if schema.get('required', False)
+        ]
+
+        return {
+            "component": component,
+            "description": comp_def.get('description', ''),
+            "props": props,
+            "prop_count": len(props),
+            "required": required,
+            "version": self.registry.loaded_version
+        }
+
+    async def validate_component(
+        self,
+        component: str,
+        props: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Validate component props against registry.
+
+        Args:
+            component: Component name
+            props: Props dict to validate
+
+        Returns:
+            Dict with:
+                - valid: bool - True if all props are valid
+                - errors: List of error messages
+                - warnings: List of warning messages
+                - validated_props: Number of props validated
+                - component: Component name for reference
+        """
+        if not self._initialized:
+            return {
+                "valid": False,
+                "errors": ["Registry not initialized"],
+                "warnings": [],
+                "validated_props": 0,
+                "component": component
+            }
+
+        errors: List[str] = []
+        warnings: List[str] = []
+
+        # Check if component exists
+        comp_def = self.registry.get_component(component)
+        if not comp_def:
+            similar = self._find_similar_component(component)
+            error_msg = f"Unknown component: {component}"
+            if similar:
+                error_msg += f". Did you mean '{similar}'?"
+            errors.append(error_msg)
+
+            return {
+                "valid": False,
+                "errors": errors,
+                "warnings": warnings,
+                "validated_props": 0,
+                "component": component
+            }
+
+        comp_props = comp_def.get('props', {})
+
+        # Check for required props
+        for prop_name, prop_schema in comp_props.items():
+            if prop_schema.get('required', False) and prop_name not in props:
+                errors.append(f"Missing required prop: '{prop_name}'")
+
+        # Validate each provided prop
+        for prop_name, prop_value in props.items():
+            # Skip special props that are always allowed
+            if prop_name in ('id', 'children', 'className', 'style', 'key'):
+                continue
+
+            result = self.registry.validate_prop(component, prop_name, prop_value)
+
+            if not result.get('valid', True):
+                error = result.get('error', f"Invalid prop: {prop_name}")
+                # Distinguish between typos/unknown props and type errors
+                if "Unknown prop" in error:
+                    errors.append(f"❌ {error}")
+                elif "expects one of" in error:
+                    errors.append(f"❌ {error}")
+                elif "expects type" in error:
+                    warnings.append(f"⚠️ {error}")
+                else:
+                    errors.append(f"❌ {error}")
+
+        # Check for props that exist but might have common mistakes
+        self._check_common_mistakes(component, props, warnings)
+
+        return {
+            "valid": len(errors) == 0,
+            "errors": errors,
+            "warnings": warnings,
+            "validated_props": len(props),
+            "component": component,
+            "version": self.registry.loaded_version
+        }
+
+    def _find_similar_component(self, component: str) -> Optional[str]:
+        """
+        Find a similar component name for suggestions.
+
+        Args:
+            component: The (possibly misspelled) component name
+
+        Returns:
+            Similar component name, or None if no close match
+        """
+        if not self.registry:
+            return None
+
+        comp_lower = component.lower()
+        all_components = []
+        for comps in self.registry.categories.values():
+            all_components.extend(comps)
+
+        for comp in all_components:
+            # Exact match after lowercase
+            if comp.lower() == comp_lower:
+                return comp
+            # Check if it's a prefix match
+            if comp.lower().startswith(comp_lower) or comp_lower.startswith(comp.lower()):
+                return comp
+            # Check for common typos
+            if abs(len(comp) - len(component)) <= 2:
+                if comp_lower[:4] == comp.lower()[:4]:
+                    return comp
+
+        return None
+
+    def _check_common_mistakes(
+        self,
+        component: str,
+        props: Dict[str, Any],
+        warnings: List[str]
+    ) -> None:
+        """
+        Check for common prop usage mistakes and add warnings.
+
+        Args:
+            component: Component name
+            props: Props being used
+            warnings: List to append warnings to
+        """
+        # Common mistake: using 'onclick' instead of callback pattern
+        if 'onclick' in [p.lower() for p in props.keys()]:
+            warnings.append(
+                "⚠️ Dash uses callback patterns, not inline event handlers. "
+                "Use 'n_clicks' prop with a callback instead."
+            )
+
+        # Common mistake: using 'class' instead of 'className'
+        if 'class' in props:
+            warnings.append(
+                "⚠️ Use 'className' instead of 'class' for CSS classes."
+            )
+
+        # Button-specific checks
+        if component == 'Button':
+            if 'href' in props and 'component' not in props:
+                warnings.append(
+                    "⚠️ Button with 'href' should also set 'component=\"a\"' for proper anchor behavior."
+                )
+
+        # Input-specific checks
+        if 'Input' in component:
+            if 'value' in props and 'onChange' in [p for p in props.keys()]:
+                warnings.append(
+                    "⚠️ Dash uses 'value' prop with callbacks, not 'onChange'. "
+                    "The value updates automatically through Dash callbacks."
+                )

mcp-servers/viz-platform/mcp_server/layout_tools.py

@@ -0,0 +1,367 @@
+"""
+Layout composition tools for dashboard building.
+
+Provides tools for creating structured layouts with grids, filters, and sections.
+"""
+import logging
+from typing import Dict, List, Optional, Any
+from uuid import uuid4
+
+logger = logging.getLogger(__name__)
+
+
+# Layout templates
+TEMPLATES = {
+    "dashboard": {
+        "sections": ["header", "filters", "main", "footer"],
+        "default_grid": {"cols": 12, "spacing": "md"},
+        "description": "Standard dashboard with header, filters, main content, and footer"
+    },
+    "report": {
+        "sections": ["title", "summary", "content", "appendix"],
+        "default_grid": {"cols": 1, "spacing": "lg"},
+        "description": "Report layout with title, summary, and content sections"
+    },
+    "form": {
+        "sections": ["header", "fields", "actions"],
+        "default_grid": {"cols": 2, "spacing": "md"},
+        "description": "Form layout with header, fields, and action buttons"
+    },
+    "blank": {
+        "sections": ["main"],
+        "default_grid": {"cols": 12, "spacing": "md"},
+        "description": "Blank canvas for custom layouts"
+    }
+}
+
+
+# Filter type definitions
+FILTER_TYPES = {
+    "dropdown": {
+        "component": "Select",
+        "props": ["label", "data", "placeholder", "clearable", "searchable", "value"]
+    },
+    "multi_select": {
+        "component": "MultiSelect",
+        "props": ["label", "data", "placeholder", "clearable", "searchable", "value"]
+    },
+    "date_range": {
+        "component": "DateRangePicker",
+        "props": ["label", "placeholder", "value", "minDate", "maxDate"]
+    },
+    "date": {
+        "component": "DatePicker",
+        "props": ["label", "placeholder", "value", "minDate", "maxDate"]
+    },
+    "search": {
+        "component": "TextInput",
+        "props": ["label", "placeholder", "value", "icon"]
+    },
+    "checkbox_group": {
+        "component": "CheckboxGroup",
+        "props": ["label", "children", "value"]
+    },
+    "radio_group": {
+        "component": "RadioGroup",
+        "props": ["label", "children", "value"]
+    },
+    "slider": {
+        "component": "Slider",
+        "props": ["label", "min", "max", "step", "value", "marks"]
+    },
+    "range_slider": {
+        "component": "RangeSlider",
+        "props": ["label", "min", "max", "step", "value", "marks"]
+    }
+}
+
+
+class LayoutTools:
+    """
+    Dashboard layout composition tools.
+
+    Creates layouts that map to DMC Grid and AppShell components.
+    """
+
+    def __init__(self):
+        """Initialize layout tools."""
+        self._layouts: Dict[str, Dict[str, Any]] = {}
+
+    async def layout_create(
+        self,
+        name: str,
+        template: Optional[str] = None
+    ) -> Dict[str, Any]:
+        """
+        Create a new layout container.
+
+        Args:
+            name: Unique name for the layout
+            template: Optional template (dashboard, report, form, blank)
+
+        Returns:
+            Dict with:
+                - layout_ref: Reference to use in other tools
+                - template: Template used
+                - sections: Available sections
+                - grid: Default grid configuration
+        """
+        # Validate template
+        template = template or "blank"
+        if template not in TEMPLATES:
+            return {
+                "error": f"Invalid template '{template}'. Must be one of: {list(TEMPLATES.keys())}",
+                "layout_ref": None
+            }
+
+        # Check for name collision
+        if name in self._layouts:
+            return {
+                "error": f"Layout '{name}' already exists. Use a different name or modify existing.",
+                "layout_ref": name
+            }
+
+        template_config = TEMPLATES[template]
+
+        # Create layout structure
+        layout = {
+            "id": str(uuid4()),
+            "name": name,
+            "template": template,
+            "sections": {section: {"items": []} for section in template_config["sections"]},
+            "grid": template_config["default_grid"].copy(),
+            "filters": [],
+            "metadata": {
+                "description": template_config["description"]
+            }
+        }
+
+        self._layouts[name] = layout
+
+        return {
+            "layout_ref": name,
+            "template": template,
+            "sections": template_config["sections"],
+            "grid": layout["grid"],
+            "description": template_config["description"]
+        }
+
+    async def layout_add_filter(
+        self,
+        layout_ref: str,
+        filter_type: str,
+        options: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Add a filter control to a layout.
+
+        Args:
+            layout_ref: Layout name to add filter to
+            filter_type: Type of filter (dropdown, date_range, search, checkbox_group, etc.)
+            options: Filter options (label, data for dropdown, placeholder, position)
+
+        Returns:
+            Dict with:
+                - filter_id: Unique ID for the filter
+                - component: DMC component that will be used
+                - props: Props that were set
+                - position: Where filter was placed
+        """
+        # Validate layout exists
+        if layout_ref not in self._layouts:
+            return {
+                "error": f"Layout '{layout_ref}' not found. Create it first with layout_create.",
+                "filter_id": None
+            }
+
+        # Validate filter type
+        if filter_type not in FILTER_TYPES:
+            return {
+                "error": f"Invalid filter_type '{filter_type}'. Must be one of: {list(FILTER_TYPES.keys())}",
+                "filter_id": None
+            }
+
+        filter_config = FILTER_TYPES[filter_type]
+        layout = self._layouts[layout_ref]
+
+        # Generate filter ID
+        filter_id = f"filter_{filter_type}_{len(layout['filters'])}"
+
+        # Extract relevant props
+        props = {"id": filter_id}
+        for prop in filter_config["props"]:
+            if prop in options:
+                props[prop] = options[prop]
+
+        # Determine position
+        position = options.get("position", "filters")
+        if position not in layout["sections"]:
+            # Default to first available section
+            position = list(layout["sections"].keys())[0]
+
+        # Create filter definition
+        filter_def = {
+            "id": filter_id,
+            "type": filter_type,
+            "component": filter_config["component"],
+            "props": props,
+            "position": position
+        }
+
+        layout["filters"].append(filter_def)
+        layout["sections"][position]["items"].append({
+            "type": "filter",
+            "ref": filter_id
+        })
+
+        return {
+            "filter_id": filter_id,
+            "component": filter_config["component"],
+            "props": props,
+            "position": position,
+            "layout_ref": layout_ref
+        }
+
+    async def layout_set_grid(
+        self,
+        layout_ref: str,
+        grid: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Configure the grid system for a layout.
+
+        Args:
+            layout_ref: Layout name to configure
+            grid: Grid configuration:
+                - cols: Number of columns (default 12)
+                - spacing: Gap between items (xs, sm, md, lg, xl)
+                - breakpoints: Responsive breakpoints {xs: cols, sm: cols, ...}
+                - gutter: Gutter size
+
+        Returns:
+            Dict with:
+                - grid: Updated grid configuration
+                - layout_ref: Layout reference
+        """
+        # Validate layout exists
+        if layout_ref not in self._layouts:
+            return {
+                "error": f"Layout '{layout_ref}' not found. Create it first with layout_create.",
+                "grid": None
+            }
+
+        layout = self._layouts[layout_ref]
+
+        # Validate spacing if provided
+        valid_spacing = ["xs", "sm", "md", "lg", "xl"]
+        if "spacing" in grid and grid["spacing"] not in valid_spacing:
+            return {
+                "error": f"Invalid spacing '{grid['spacing']}'. Must be one of: {valid_spacing}",
+                "grid": layout["grid"]
+            }
+
+        # Validate cols
+        if "cols" in grid:
+            cols = grid["cols"]
+            if not isinstance(cols, int) or cols < 1 or cols > 24:
+                return {
+                    "error": f"Invalid cols '{cols}'. Must be integer between 1 and 24.",
+                    "grid": layout["grid"]
+                }
+
+        # Update grid configuration
+        layout["grid"].update(grid)
+
+        # Process breakpoints if provided
+        if "breakpoints" in grid:
+            bp = grid["breakpoints"]
+            layout["grid"]["breakpoints"] = bp
+
+        return {
+            "grid": layout["grid"],
+            "layout_ref": layout_ref
+        }
+
+    async def layout_get(self, layout_ref: str) -> Dict[str, Any]:
+        """
+        Get a layout's full configuration.
+
+        Args:
+            layout_ref: Layout name to retrieve
+
+        Returns:
+            Full layout configuration or error
+        """
+        if layout_ref not in self._layouts:
+            return {
+                "error": f"Layout '{layout_ref}' not found.",
+                "layout": None
+            }
+
+        layout = self._layouts[layout_ref]
+
+        return {
+            "layout": layout,
+            "filter_count": len(layout["filters"]),
+            "sections": list(layout["sections"].keys())
+        }
+
+    async def layout_add_section(
+        self,
+        layout_ref: str,
+        section_name: str,
+        position: Optional[int] = None
+    ) -> Dict[str, Any]:
+        """
+        Add a custom section to a layout.
+
+        Args:
+            layout_ref: Layout name
+            section_name: Name for the new section
+            position: Optional position index (appends if not specified)
+
+        Returns:
+            Dict with sections list and the new section name
+        """
+        if layout_ref not in self._layouts:
+            return {
+                "error": f"Layout '{layout_ref}' not found.",
+                "sections": []
+            }
+
+        layout = self._layouts[layout_ref]
+
+        if section_name in layout["sections"]:
+            return {
+                "error": f"Section '{section_name}' already exists.",
+                "sections": list(layout["sections"].keys())
+            }
+
+        # Add new section
+        layout["sections"][section_name] = {"items": []}
+
+        return {
+            "section_name": section_name,
+            "sections": list(layout["sections"].keys()),
+            "layout_ref": layout_ref
+        }
+
+    def get_available_templates(self) -> Dict[str, Any]:
+        """Get list of available layout templates."""
+        return {
+            name: {
+                "sections": config["sections"],
+                "description": config["description"]
+            }
+            for name, config in TEMPLATES.items()
+        }
+
+    def get_available_filter_types(self) -> Dict[str, Any]:
+        """Get list of available filter types."""
+        return {
+            name: {
+                "component": config["component"],
+                "props": config["props"]
+            }
+            for name, config in FILTER_TYPES.items()
+        }

mcp-servers/viz-platform/mcp_server/page_tools.py

@@ -0,0 +1,366 @@
+"""
+Multi-page app tools for viz-platform.
+
+Provides tools for building complete Dash applications with routing and navigation.
+"""
+import logging
+from typing import Dict, List, Optional, Any
+from uuid import uuid4
+
+logger = logging.getLogger(__name__)
+
+
+# Navigation position options
+NAV_POSITIONS = ["top", "left", "right"]
+
+# Auth types supported
+AUTH_TYPES = ["none", "basic", "oauth", "custom"]
+
+
+class PageTools:
+    """
+    Multi-page Dash application tools.
+
+    Creates page definitions, navigation, and auth configuration.
+    """
+
+    def __init__(self):
+        """Initialize page tools."""
+        self._pages: Dict[str, Dict[str, Any]] = {}
+        self._navbars: Dict[str, Dict[str, Any]] = {}
+        self._app_config: Dict[str, Any] = {
+            "title": "Dash App",
+            "suppress_callback_exceptions": True
+        }
+
+    async def page_create(
+        self,
+        name: str,
+        path: str,
+        layout_ref: Optional[str] = None,
+        title: Optional[str] = None
+    ) -> Dict[str, Any]:
+        """
+        Create a new page definition.
+
+        Args:
+            name: Unique page name (used as identifier)
+            path: URL path for the page (e.g., "/", "/settings")
+            layout_ref: Optional layout reference to use for the page
+            title: Optional page title (defaults to name)
+
+        Returns:
+            Dict with:
+                - page_ref: Reference to use in other tools
+                - path: URL path
+                - registered: Whether page was registered
+        """
+        # Validate path format
+        if not path.startswith('/'):
+            return {
+                "error": f"Path must start with '/'. Got: {path}",
+                "page_ref": None
+            }
+
+        # Check for name collision
+        if name in self._pages:
+            return {
+                "error": f"Page '{name}' already exists. Use a different name.",
+                "page_ref": name
+            }
+
+        # Check for path collision
+        for page_name, page_data in self._pages.items():
+            if page_data['path'] == path:
+                return {
+                    "error": f"Path '{path}' already used by page '{page_name}'.",
+                    "page_ref": None
+                }
+
+        # Create page definition
+        page = {
+            "id": str(uuid4()),
+            "name": name,
+            "path": path,
+            "title": title or name,
+            "layout_ref": layout_ref,
+            "auth": None,
+            "metadata": {}
+        }
+
+        self._pages[name] = page
+
+        return {
+            "page_ref": name,
+            "path": path,
+            "title": page["title"],
+            "layout_ref": layout_ref,
+            "registered": True
+        }
+
+    async def page_add_navbar(
+        self,
+        pages: List[str],
+        options: Optional[Dict[str, Any]] = None
+    ) -> Dict[str, Any]:
+        """
+        Generate a navigation component linking pages.
+
+        Args:
+            pages: List of page names to include in navigation
+            options: Navigation options:
+                - position: "top", "left", or "right"
+                - style: Style variant
+                - brand: Brand/logo text or config
+                - collapsible: Whether to collapse on mobile
+
+        Returns:
+            Dict with:
+                - navbar_id: Navigation ID
+                - pages: List of page links generated
+                - component: DMC component structure
+        """
+        options = options or {}
+
+        # Validate pages exist
+        missing_pages = [p for p in pages if p not in self._pages]
+        if missing_pages:
+            return {
+                "error": f"Pages not found: {missing_pages}. Create them first.",
+                "navbar_id": None
+            }
+
+        # Validate position
+        position = options.get("position", "top")
+        if position not in NAV_POSITIONS:
+            return {
+                "error": f"Invalid position '{position}'. Must be one of: {NAV_POSITIONS}",
+                "navbar_id": None
+            }
+
+        # Generate navbar ID
+        navbar_id = f"navbar_{len(self._navbars)}"
+
+        # Build page links
+        page_links = []
+        for page_name in pages:
+            page = self._pages[page_name]
+            page_links.append({
+                "label": page["title"],
+                "href": page["path"],
+                "page_ref": page_name
+            })
+
+        # Build DMC component structure
+        if position == "top":
+            component = self._build_top_navbar(page_links, options)
+        else:
+            component = self._build_side_navbar(page_links, options, position)
+
+        # Store navbar config
+        self._navbars[navbar_id] = {
+            "id": navbar_id,
+            "position": position,
+            "pages": pages,
+            "options": options,
+            "component": component
+        }
+
+        return {
+            "navbar_id": navbar_id,
+            "position": position,
+            "pages": page_links,
+            "component": component
+        }
+
+    async def page_set_auth(
+        self,
+        page_ref: str,
+        auth_config: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Configure authentication for a page.
+
+        Args:
+            page_ref: Page name to configure
+            auth_config: Authentication configuration:
+                - type: "none", "basic", "oauth", "custom"
+                - required: Whether auth is required (default True)
+                - roles: List of required roles (optional)
+                - redirect: Redirect path for unauthenticated users
+
+        Returns:
+            Dict with:
+                - page_ref: Page reference
+                - auth_type: Type of auth configured
+                - protected: Whether page is protected
+        """
+        # Validate page exists
+        if page_ref not in self._pages:
+            available = list(self._pages.keys())
+            return {
+                "error": f"Page '{page_ref}' not found. Available: {available}",
+                "page_ref": page_ref
+            }
+
+        # Validate auth type
+        auth_type = auth_config.get("type", "basic")
+        if auth_type not in AUTH_TYPES:
+            return {
+                "error": f"Invalid auth type '{auth_type}'. Must be one of: {AUTH_TYPES}",
+                "page_ref": page_ref
+            }
+
+        # Build auth config
+        auth = {
+            "type": auth_type,
+            "required": auth_config.get("required", True),
+            "roles": auth_config.get("roles", []),
+            "redirect": auth_config.get("redirect", "/login")
+        }
+
+        # Handle OAuth-specific config
+        if auth_type == "oauth":
+            auth["provider"] = auth_config.get("provider", "generic")
+            auth["scopes"] = auth_config.get("scopes", [])
+
+        # Update page
+        self._pages[page_ref]["auth"] = auth
+
+        return {
+            "page_ref": page_ref,
+            "auth_type": auth_type,
+            "protected": auth["required"],
+            "roles": auth["roles"],
+            "redirect": auth["redirect"]
+        }
+
+    async def page_list(self) -> Dict[str, Any]:
+        """
+        List all registered pages.
+
+        Returns:
+            Dict with pages and their configurations
+        """
+        pages_info = {}
+        for name, page in self._pages.items():
+            pages_info[name] = {
+                "path": page["path"],
+                "title": page["title"],
+                "layout_ref": page["layout_ref"],
+                "protected": page["auth"] is not None and page["auth"].get("required", False)
+            }
+
+        return {
+            "pages": pages_info,
+            "count": len(pages_info),
+            "navbars": list(self._navbars.keys())
+        }
+
+    async def page_get_app_config(self) -> Dict[str, Any]:
+        """
+        Get the complete app configuration for Dash.
+
+        Returns:
+            Dict with app config including pages, navbars, and settings
+        """
+        # Build pages config
+        pages_config = []
+        for name, page in self._pages.items():
+            pages_config.append({
+                "name": name,
+                "path": page["path"],
+                "title": page["title"],
+                "layout_ref": page["layout_ref"]
+            })
+
+        # Build routing config
+        routes = {page["path"]: name for name, page in self._pages.items()}
+
+        return {
+            "app": self._app_config,
+            "pages": pages_config,
+            "routes": routes,
+            "navbars": list(self._navbars.values()),
+            "page_count": len(self._pages)
+        }
+
+    def _build_top_navbar(
+        self,
+        page_links: List[Dict[str, str]],
+        options: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """Build a top navigation bar component."""
+        brand = options.get("brand", "App")
+
+        # Build nav links
+        nav_items = []
+        for link in page_links:
+            nav_items.append({
+                "component": "NavLink",
+                "props": {
+                    "label": link["label"],
+                    "href": link["href"]
+                }
+            })
+
+        return {
+            "component": "AppShell.Header",
+            "children": [
+                {
+                    "component": "Group",
+                    "props": {"justify": "space-between", "h": "100%", "px": "md"},
+                    "children": [
+                        {
+                            "component": "Text",
+                            "props": {"size": "lg", "fw": 700},
+                            "children": brand
+                        },
+                        {
+                            "component": "Group",
+                            "props": {"gap": "sm"},
+                            "children": nav_items
+                        }
+                    ]
+                }
+            ]
+        }
+
+    def _build_side_navbar(
+        self,
+        page_links: List[Dict[str, str]],
+        options: Dict[str, Any],
+        position: str
+    ) -> Dict[str, Any]:
+        """Build a side navigation bar component."""
+        brand = options.get("brand", "App")
+
+        # Build nav links
+        nav_items = []
+        for link in page_links:
+            nav_items.append({
+                "component": "NavLink",
+                "props": {
+                    "label": link["label"],
+                    "href": link["href"]
+                }
+            })
+
+        navbar_component = "AppShell.Navbar" if position == "left" else "AppShell.Aside"
+
+        return {
+            "component": navbar_component,
+            "props": {"p": "md"},
+            "children": [
+                {
+                    "component": "Text",
+                    "props": {"size": "lg", "fw": 700, "mb": "md"},
+                    "children": brand
+                },
+                {
+                    "component": "Stack",
+                    "props": {"gap": "xs"},
+                    "children": nav_items
+                }
+            ]
+        }

mcp-servers/viz-platform/mcp_server/server.py

@@ -0,0 +1,701 @@
+"""
+MCP Server entry point for viz-platform integration.
+
+Provides Dash Mantine Components validation, charting, layout, theming, and page tools
+to Claude Code via JSON-RPC 2.0 over stdio.
+"""
+import asyncio
+import logging
+import json
+from mcp.server import Server
+from mcp.server.stdio import stdio_server
+from mcp.types import Tool, TextContent
+
+from .config import VizPlatformConfig
+from .dmc_tools import DMCTools
+from .chart_tools import ChartTools
+from .layout_tools import LayoutTools
+from .theme_tools import ThemeTools
+from .page_tools import PageTools
+
+# Suppress noisy MCP validation warnings on stderr
+logging.basicConfig(level=logging.INFO)
+logging.getLogger("root").setLevel(logging.ERROR)
+logging.getLogger("mcp").setLevel(logging.ERROR)
+logger = logging.getLogger(__name__)
+
+
+class VizPlatformMCPServer:
+    """MCP Server for visualization platform integration"""
+
+    def __init__(self):
+        self.server = Server("viz-platform-mcp")
+        self.config = None
+        self.dmc_tools = DMCTools()
+        self.chart_tools = ChartTools()
+        self.layout_tools = LayoutTools()
+        self.theme_tools = ThemeTools()
+        self.page_tools = PageTools()
+
+    async def initialize(self):
+        """Initialize server and load configuration."""
+        try:
+            config_loader = VizPlatformConfig()
+            self.config = config_loader.load()
+
+            # Initialize DMC tools with detected version
+            dmc_version = self.config.get('dmc_version')
+            self.dmc_tools.initialize(dmc_version)
+
+            # Log available capabilities
+            caps = []
+            if self.config.get('dmc_available'):
+                caps.append(f"DMC {dmc_version}")
+                if self.dmc_tools._initialized:
+                    caps.append(f"Registry loaded ({self.dmc_tools.registry.loaded_version})")
+            else:
+                caps.append("DMC (not installed)")
+
+            logger.info(f"viz-platform MCP Server initialized with: {', '.join(caps)}")
+
+        except Exception as e:
+            logger.error(f"Failed to initialize: {e}")
+            raise
+
+    def setup_tools(self):
+        """Register all available tools with the MCP server"""
+
+        @self.server.list_tools()
+        async def list_tools() -> list[Tool]:
+            """Return list of available tools"""
+            tools = []
+
+            # DMC validation tools (Issue #172)
+            tools.append(Tool(
+                name="list_components",
+                description=(
+                    "List available Dash Mantine Components. "
+                    "Returns components grouped by category with version info. "
+                    "Use this to discover what components are available before building UI."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "category": {
+                            "type": "string",
+                            "description": (
+                                "Optional category filter. Available categories: "
+                                "buttons, inputs, navigation, feedback, overlays, "
+                                "typography, layout, data_display, charts, dates"
+                            )
+                        }
+                    },
+                    "required": []
+                }
+            ))
+
+            tools.append(Tool(
+                name="get_component_props",
+                description=(
+                    "Get the props schema for a specific DMC component. "
+                    "Returns all available props with types, defaults, and allowed values. "
+                    "ALWAYS use this before creating a component to ensure valid props."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "component": {
+                            "type": "string",
+                            "description": "Component name (e.g., 'Button', 'TextInput', 'Select')"
+                        }
+                    },
+                    "required": ["component"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="validate_component",
+                description=(
+                    "Validate component props before use. "
+                    "Checks for invalid props, type mismatches, and common mistakes. "
+                    "Returns errors and warnings with suggestions for fixes."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "component": {
+                            "type": "string",
+                            "description": "Component name to validate"
+                        },
+                        "props": {
+                            "type": "object",
+                            "description": "Props object to validate"
+                        }
+                    },
+                    "required": ["component", "props"]
+                }
+            ))
+
+            # Chart tools (Issue #173)
+            tools.append(Tool(
+                name="chart_create",
+                description=(
+                    "Create a Plotly chart for data visualization. "
+                    "Supports line, bar, scatter, pie, heatmap, histogram, and area charts. "
+                    "Automatically applies theme colors when a theme is active."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "chart_type": {
+                            "type": "string",
+                            "enum": ["line", "bar", "scatter", "pie", "heatmap", "histogram", "area"],
+                            "description": "Type of chart to create"
+                        },
+                        "data": {
+                            "type": "object",
+                            "description": (
+                                "Data for the chart. For most charts: {x: [], y: []}. "
+                                "For pie: {labels: [], values: []}. "
+                                "For heatmap: {x: [], y: [], z: [[]]}"
+                            )
+                        },
+                        "options": {
+                            "type": "object",
+                            "description": (
+                                "Optional settings: title, x_label, y_label, color, "
+                                "showlegend, height, width, horizontal (for bar)"
+                            )
+                        }
+                    },
+                    "required": ["chart_type", "data"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="chart_configure_interaction",
+                description=(
+                    "Configure interactions on an existing chart. "
+                    "Add hover templates, enable click data capture, selection modes, "
+                    "and zoom behavior for Dash callback integration."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "figure": {
+                            "type": "object",
+                            "description": "Plotly figure JSON to modify"
+                        },
+                        "interactions": {
+                            "type": "object",
+                            "description": (
+                                "Interaction config: hover_template (string), "
+                                "click_data (bool), selection ('box'|'lasso'), zoom (bool)"
+                            )
+                        }
+                    },
+                    "required": ["figure", "interactions"]
+                }
+            ))
+
+            # Layout tools (Issue #174)
+            tools.append(Tool(
+                name="layout_create",
+                description=(
+                    "Create a new dashboard layout container. "
+                    "Templates available: dashboard, report, form, blank. "
+                    "Returns layout reference for use with other layout tools."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "description": "Unique name for the layout"
+                        },
+                        "template": {
+                            "type": "string",
+                            "enum": ["dashboard", "report", "form", "blank"],
+                            "description": "Layout template to use (default: blank)"
+                        }
+                    },
+                    "required": ["name"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="layout_add_filter",
+                description=(
+                    "Add a filter control to a layout. "
+                    "Filter types: dropdown, multi_select, date_range, date, search, "
+                    "checkbox_group, radio_group, slider, range_slider."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "layout_ref": {
+                            "type": "string",
+                            "description": "Layout name to add filter to"
+                        },
+                        "filter_type": {
+                            "type": "string",
+                            "enum": ["dropdown", "multi_select", "date_range", "date",
+                                    "search", "checkbox_group", "radio_group", "slider", "range_slider"],
+                            "description": "Type of filter control"
+                        },
+                        "options": {
+                            "type": "object",
+                            "description": (
+                                "Filter options: label, data (for dropdown), placeholder, "
+                                "position (section name), value, etc."
+                            )
+                        }
+                    },
+                    "required": ["layout_ref", "filter_type", "options"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="layout_set_grid",
+                description=(
+                    "Configure the grid system for a layout. "
+                    "Uses DMC Grid component patterns with 12 or 24 column system."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "layout_ref": {
+                            "type": "string",
+                            "description": "Layout name to configure"
+                        },
+                        "grid": {
+                            "type": "object",
+                            "description": (
+                                "Grid config: cols (1-24), spacing (xs|sm|md|lg|xl), "
+                                "breakpoints ({xs: cols, sm: cols, ...}), gutter"
+                            )
+                        }
+                    },
+                    "required": ["layout_ref", "grid"]
+                }
+            ))
+
+            # Theme tools (Issue #175)
+            tools.append(Tool(
+                name="theme_create",
+                description=(
+                    "Create a new design theme with tokens. "
+                    "Tokens include colors, spacing, typography, radii. "
+                    "Missing tokens are filled from defaults."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "description": "Unique theme name"
+                        },
+                        "tokens": {
+                            "type": "object",
+                            "description": (
+                                "Design tokens: colors (primary, background, text), "
+                                "spacing (xs-xl), typography (fontFamily, fontSize), radii (sm-xl)"
+                            )
+                        }
+                    },
+                    "required": ["name", "tokens"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="theme_extend",
+                description=(
+                    "Create a new theme by extending an existing one. "
+                    "Only specify the tokens you want to override."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "base_theme": {
+                            "type": "string",
+                            "description": "Theme to extend (e.g., 'default')"
+                        },
+                        "overrides": {
+                            "type": "object",
+                            "description": "Token overrides to apply"
+                        },
+                        "new_name": {
+                            "type": "string",
+                            "description": "Name for the new theme (optional)"
+                        }
+                    },
+                    "required": ["base_theme", "overrides"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="theme_validate",
+                description=(
+                    "Validate a theme for completeness. "
+                    "Checks for required tokens and common issues."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "theme_name": {
+                            "type": "string",
+                            "description": "Theme to validate"
+                        }
+                    },
+                    "required": ["theme_name"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="theme_export_css",
+                description=(
+                    "Export a theme as CSS custom properties. "
+                    "Generates :root CSS variables for all tokens."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "theme_name": {
+                            "type": "string",
+                            "description": "Theme to export"
+                        }
+                    },
+                    "required": ["theme_name"]
+                }
+            ))
+
+            # Page tools (Issue #176)
+            tools.append(Tool(
+                name="page_create",
+                description=(
+                    "Create a new page for a multi-page Dash application. "
+                    "Defines page routing and can link to a layout."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "description": "Unique page name (identifier)"
+                        },
+                        "path": {
+                            "type": "string",
+                            "description": "URL path (e.g., '/', '/settings')"
+                        },
+                        "layout_ref": {
+                            "type": "string",
+                            "description": "Optional layout reference to use"
+                        },
+                        "title": {
+                            "type": "string",
+                            "description": "Page title (defaults to name)"
+                        }
+                    },
+                    "required": ["name", "path"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="page_add_navbar",
+                description=(
+                    "Generate navigation component linking pages. "
+                    "Creates top or side navigation with DMC components."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "pages": {
+                            "type": "array",
+                            "items": {"type": "string"},
+                            "description": "List of page names to include"
+                        },
+                        "options": {
+                            "type": "object",
+                            "description": (
+                                "Navigation options: position (top|left|right), "
+                                "brand (app name), collapsible (bool)"
+                            )
+                        }
+                    },
+                    "required": ["pages"]
+                }
+            ))
+
+            tools.append(Tool(
+                name="page_set_auth",
+                description=(
+                    "Configure authentication for a page. "
+                    "Sets auth requirements, roles, and redirect behavior."
+                ),
+                inputSchema={
+                    "type": "object",
+                    "properties": {
+                        "page_ref": {
+                            "type": "string",
+                            "description": "Page name to configure"
+                        },
+                        "auth_config": {
+                            "type": "object",
+                            "description": (
+                                "Auth config: type (none|basic|oauth|custom), "
+                                "required (bool), roles (array), redirect (path)"
+                            )
+                        }
+                    },
+                    "required": ["page_ref", "auth_config"]
+                }
+            ))
+
+            return tools
+
+        @self.server.call_tool()
+        async def call_tool(name: str, arguments: dict) -> list[TextContent]:
+            """Handle tool invocation."""
+            try:
+                # DMC validation tools
+                if name == "list_components":
+                    result = await self.dmc_tools.list_components(
+                        category=arguments.get('category')
+                    )
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "get_component_props":
+                    component = arguments.get('component')
+                    if not component:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "component is required"}, indent=2)
+                        )]
+                    result = await self.dmc_tools.get_component_props(component)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "validate_component":
+                    component = arguments.get('component')
+                    props = arguments.get('props', {})
+                    if not component:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "component is required"}, indent=2)
+                        )]
+                    result = await self.dmc_tools.validate_component(component, props)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                # Chart tools
+                elif name == "chart_create":
+                    chart_type = arguments.get('chart_type')
+                    data = arguments.get('data', {})
+                    options = arguments.get('options', {})
+                    if not chart_type:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "chart_type is required"}, indent=2)
+                        )]
+                    result = await self.chart_tools.chart_create(chart_type, data, options)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "chart_configure_interaction":
+                    figure = arguments.get('figure')
+                    interactions = arguments.get('interactions', {})
+                    if not figure:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "figure is required"}, indent=2)
+                        )]
+                    result = await self.chart_tools.chart_configure_interaction(figure, interactions)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                # Layout tools
+                elif name == "layout_create":
+                    layout_name = arguments.get('name')
+                    template = arguments.get('template')
+                    if not layout_name:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "name is required"}, indent=2)
+                        )]
+                    result = await self.layout_tools.layout_create(layout_name, template)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "layout_add_filter":
+                    layout_ref = arguments.get('layout_ref')
+                    filter_type = arguments.get('filter_type')
+                    options = arguments.get('options', {})
+                    if not layout_ref or not filter_type:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "layout_ref and filter_type are required"}, indent=2)
+                        )]
+                    result = await self.layout_tools.layout_add_filter(layout_ref, filter_type, options)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "layout_set_grid":
+                    layout_ref = arguments.get('layout_ref')
+                    grid = arguments.get('grid', {})
+                    if not layout_ref:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "layout_ref is required"}, indent=2)
+                        )]
+                    result = await self.layout_tools.layout_set_grid(layout_ref, grid)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                # Theme tools
+                elif name == "theme_create":
+                    theme_name = arguments.get('name')
+                    tokens = arguments.get('tokens', {})
+                    if not theme_name:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "name is required"}, indent=2)
+                        )]
+                    result = await self.theme_tools.theme_create(theme_name, tokens)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "theme_extend":
+                    base_theme = arguments.get('base_theme')
+                    overrides = arguments.get('overrides', {})
+                    new_name = arguments.get('new_name')
+                    if not base_theme:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "base_theme is required"}, indent=2)
+                        )]
+                    result = await self.theme_tools.theme_extend(base_theme, overrides, new_name)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "theme_validate":
+                    theme_name = arguments.get('theme_name')
+                    if not theme_name:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "theme_name is required"}, indent=2)
+                        )]
+                    result = await self.theme_tools.theme_validate(theme_name)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "theme_export_css":
+                    theme_name = arguments.get('theme_name')
+                    if not theme_name:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "theme_name is required"}, indent=2)
+                        )]
+                    result = await self.theme_tools.theme_export_css(theme_name)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                # Page tools
+                elif name == "page_create":
+                    page_name = arguments.get('name')
+                    path = arguments.get('path')
+                    layout_ref = arguments.get('layout_ref')
+                    title = arguments.get('title')
+                    if not page_name or not path:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "name and path are required"}, indent=2)
+                        )]
+                    result = await self.page_tools.page_create(page_name, path, layout_ref, title)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "page_add_navbar":
+                    pages = arguments.get('pages', [])
+                    options = arguments.get('options', {})
+                    if not pages:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "pages list is required"}, indent=2)
+                        )]
+                    result = await self.page_tools.page_add_navbar(pages, options)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                elif name == "page_set_auth":
+                    page_ref = arguments.get('page_ref')
+                    auth_config = arguments.get('auth_config', {})
+                    if not page_ref:
+                        return [TextContent(
+                            type="text",
+                            text=json.dumps({"error": "page_ref is required"}, indent=2)
+                        )]
+                    result = await self.page_tools.page_set_auth(page_ref, auth_config)
+                    return [TextContent(
+                        type="text",
+                        text=json.dumps(result, indent=2)
+                    )]
+
+                raise ValueError(f"Unknown tool: {name}")
+
+            except Exception as e:
+                logger.error(f"Tool {name} failed: {e}")
+                return [TextContent(
+                    type="text",
+                    text=json.dumps({"error": str(e)}, indent=2)
+                )]
+
+    async def run(self):
+        """Run the MCP server"""
+        await self.initialize()
+        self.setup_tools()
+
+        async with stdio_server() as (read_stream, write_stream):
+            await self.server.run(
+                read_stream,
+                write_stream,
+                self.server.create_initialization_options()
+            )
+
+
+async def main():
+    """Main entry point"""
+    server = VizPlatformMCPServer()
+    await server.run()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

mcp-servers/viz-platform/mcp_server/theme_store.py

@@ -0,0 +1,259 @@
+"""
+Theme storage and persistence for viz-platform.
+
+Handles saving/loading themes from user and project locations.
+"""
+import json
+import logging
+from pathlib import Path
+from typing import Dict, List, Optional, Any
+
+logger = logging.getLogger(__name__)
+
+
+# Default theme based on Mantine defaults
+DEFAULT_THEME = {
+    "name": "default",
+    "version": "1.0.0",
+    "tokens": {
+        "colors": {
+            "primary": "#228be6",
+            "secondary": "#868e96",
+            "success": "#40c057",
+            "warning": "#fab005",
+            "error": "#fa5252",
+            "info": "#15aabf",
+            "background": {
+                "base": "#ffffff",
+                "subtle": "#f8f9fa",
+                "dark": "#212529"
+            },
+            "text": {
+                "primary": "#212529",
+                "secondary": "#495057",
+                "muted": "#868e96",
+                "inverse": "#ffffff"
+            },
+            "border": "#dee2e6"
+        },
+        "spacing": {
+            "xs": "4px",
+            "sm": "8px",
+            "md": "16px",
+            "lg": "24px",
+            "xl": "32px"
+        },
+        "typography": {
+            "fontFamily": "Inter, -apple-system, BlinkMacSystemFont, Segoe UI, Roboto, sans-serif",
+            "fontFamilyMono": "ui-monospace, SFMono-Regular, Menlo, Monaco, monospace",
+            "fontSize": {
+                "xs": "12px",
+                "sm": "14px",
+                "md": "16px",
+                "lg": "18px",
+                "xl": "20px"
+            },
+            "fontWeight": {
+                "normal": 400,
+                "medium": 500,
+                "semibold": 600,
+                "bold": 700
+            },
+            "lineHeight": {
+                "tight": 1.25,
+                "normal": 1.5,
+                "relaxed": 1.75
+            }
+        },
+        "radii": {
+            "none": "0px",
+            "sm": "4px",
+            "md": "8px",
+            "lg": "16px",
+            "xl": "24px",
+            "full": "9999px"
+        },
+        "shadows": {
+            "none": "none",
+            "sm": "0 1px 2px 0 rgb(0 0 0 / 0.05)",
+            "md": "0 4px 6px -1px rgb(0 0 0 / 0.1)",
+            "lg": "0 10px 15px -3px rgb(0 0 0 / 0.1)",
+            "xl": "0 20px 25px -5px rgb(0 0 0 / 0.1)"
+        },
+        "transitions": {
+            "fast": "150ms",
+            "normal": "300ms",
+            "slow": "500ms"
+        }
+    }
+}
+
+
+# Required token categories for validation
+REQUIRED_TOKEN_CATEGORIES = ["colors", "spacing", "typography", "radii"]
+
+
+class ThemeStore:
+    """
+    Store and manage design themes.
+
+    Handles persistence to user-level and project-level locations.
+    """
+
+    def __init__(self, project_dir: Optional[Path] = None):
+        """
+        Initialize theme store.
+
+        Args:
+            project_dir: Project directory for project-level themes
+        """
+        self.project_dir = project_dir
+        self._themes: Dict[str, Dict[str, Any]] = {}
+        self._active_theme: Optional[str] = None
+
+        # Load default theme
+        self._themes["default"] = DEFAULT_THEME.copy()
+
+    @property
+    def user_themes_dir(self) -> Path:
+        """User-level themes directory."""
+        return Path.home() / ".config" / "claude" / "themes"
+
+    @property
+    def project_themes_dir(self) -> Optional[Path]:
+        """Project-level themes directory."""
+        if self.project_dir:
+            return self.project_dir / ".viz-platform" / "themes"
+        return None
+
+    def load_themes(self) -> int:
+        """
+        Load themes from user and project directories.
+
+        Project themes take precedence over user themes.
+
+        Returns:
+            Number of themes loaded
+        """
+        count = 0
+
+        # Load user themes
+        if self.user_themes_dir.exists():
+            for theme_file in self.user_themes_dir.glob("*.json"):
+                try:
+                    with open(theme_file, 'r') as f:
+                        theme = json.load(f)
+                    name = theme.get('name', theme_file.stem)
+                    self._themes[name] = theme
+                    count += 1
+                    logger.debug(f"Loaded user theme: {name}")
+                except Exception as e:
+                    logger.warning(f"Failed to load theme {theme_file}: {e}")
+
+        # Load project themes (override user themes)
+        if self.project_themes_dir and self.project_themes_dir.exists():
+            for theme_file in self.project_themes_dir.glob("*.json"):
+                try:
+                    with open(theme_file, 'r') as f:
+                        theme = json.load(f)
+                    name = theme.get('name', theme_file.stem)
+                    self._themes[name] = theme
+                    count += 1
+                    logger.debug(f"Loaded project theme: {name}")
+                except Exception as e:
+                    logger.warning(f"Failed to load theme {theme_file}: {e}")
+
+        return count
+
+    def save_theme(
+        self,
+        theme: Dict[str, Any],
+        location: str = "project"
+    ) -> Path:
+        """
+        Save a theme to disk.
+
+        Args:
+            theme: Theme dict to save
+            location: "user" or "project"
+
+        Returns:
+            Path where theme was saved
+        """
+        name = theme.get('name', 'unnamed')
+
+        if location == "user":
+            target_dir = self.user_themes_dir
+        else:
+            target_dir = self.project_themes_dir
+            if not target_dir:
+                target_dir = self.user_themes_dir
+
+        target_dir.mkdir(parents=True, exist_ok=True)
+        theme_path = target_dir / f"{name}.json"
+
+        with open(theme_path, 'w') as f:
+            json.dump(theme, f, indent=2)
+
+        # Update in-memory store
+        self._themes[name] = theme
+
+        return theme_path
+
+    def get_theme(self, name: str) -> Optional[Dict[str, Any]]:
+        """Get a theme by name."""
+        return self._themes.get(name)
+
+    def list_themes(self) -> List[str]:
+        """List all available theme names."""
+        return list(self._themes.keys())
+
+    def set_active_theme(self, name: str) -> bool:
+        """
+        Set the active theme.
+
+        Args:
+            name: Theme name to activate
+
+        Returns:
+            True if theme was activated
+        """
+        if name in self._themes:
+            self._active_theme = name
+            return True
+        return False
+
+    def get_active_theme(self) -> Optional[Dict[str, Any]]:
+        """Get the currently active theme."""
+        if self._active_theme:
+            return self._themes.get(self._active_theme)
+        return None
+
+    def delete_theme(self, name: str) -> bool:
+        """
+        Delete a theme.
+
+        Args:
+            name: Theme name to delete
+
+        Returns:
+            True if theme was deleted
+        """
+        if name == "default":
+            return False  # Cannot delete default theme
+
+        if name in self._themes:
+            del self._themes[name]
+
+            # Remove file if exists
+            for themes_dir in [self.user_themes_dir, self.project_themes_dir]:
+                if themes_dir and themes_dir.exists():
+                    theme_path = themes_dir / f"{name}.json"
+                    if theme_path.exists():
+                        theme_path.unlink()
+
+            if self._active_theme == name:
+                self._active_theme = None
+
+            return True
+        return False

mcp-servers/viz-platform/mcp_server/theme_tools.py

@@ -0,0 +1,391 @@
+"""
+Theme management tools for viz-platform.
+
+Provides design token-based theming system for consistent visual styling.
+"""
+import copy
+import logging
+from typing import Dict, List, Optional, Any
+
+from .theme_store import ThemeStore, DEFAULT_THEME, REQUIRED_TOKEN_CATEGORIES
+
+logger = logging.getLogger(__name__)
+
+
+class ThemeTools:
+    """
+    Design token-based theming tools.
+
+    Creates and manages themes that integrate with DMC and Plotly.
+    """
+
+    def __init__(self, store: Optional[ThemeStore] = None):
+        """
+        Initialize theme tools.
+
+        Args:
+            store: Optional ThemeStore for persistence
+        """
+        self.store = store or ThemeStore()
+
+    async def theme_create(
+        self,
+        name: str,
+        tokens: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Create a new theme with design tokens.
+
+        Args:
+            name: Unique theme name
+            tokens: Design tokens dict with colors, spacing, typography, radii
+
+        Returns:
+            Dict with:
+                - name: Theme name
+                - tokens: Full token set (merged with defaults)
+                - validation: Validation results
+        """
+        # Check for name collision
+        if self.store.get_theme(name) and name != "default":
+            return {
+                "error": f"Theme '{name}' already exists. Use theme_extend to modify it.",
+                "name": name
+            }
+
+        # Start with default tokens and merge provided ones
+        theme_tokens = copy.deepcopy(DEFAULT_THEME["tokens"])
+        theme_tokens = self._deep_merge(theme_tokens, tokens)
+
+        # Create theme object
+        theme = {
+            "name": name,
+            "version": "1.0.0",
+            "tokens": theme_tokens
+        }
+
+        # Validate the theme
+        validation = self._validate_tokens(theme_tokens)
+
+        # Save to store
+        self.store._themes[name] = theme
+
+        return {
+            "name": name,
+            "tokens": theme_tokens,
+            "validation": validation,
+            "complete": validation["complete"]
+        }
+
+    async def theme_extend(
+        self,
+        base_theme: str,
+        overrides: Dict[str, Any],
+        new_name: Optional[str] = None
+    ) -> Dict[str, Any]:
+        """
+        Create a new theme by extending an existing one.
+
+        Args:
+            base_theme: Name of theme to extend
+            overrides: Token overrides to apply
+            new_name: Optional name for the new theme (defaults to base_theme_extended)
+
+        Returns:
+            Dict with the new theme or error
+        """
+        # Get base theme
+        base = self.store.get_theme(base_theme)
+        if not base:
+            available = self.store.list_themes()
+            return {
+                "error": f"Base theme '{base_theme}' not found. Available: {available}",
+                "name": None
+            }
+
+        # Determine new name
+        name = new_name or f"{base_theme}_extended"
+
+        # Check for collision
+        if self.store.get_theme(name) and name != base_theme:
+            return {
+                "error": f"Theme '{name}' already exists. Choose a different name.",
+                "name": name
+            }
+
+        # Merge tokens
+        theme_tokens = copy.deepcopy(base.get("tokens", {}))
+        theme_tokens = self._deep_merge(theme_tokens, overrides)
+
+        # Create theme
+        theme = {
+            "name": name,
+            "version": "1.0.0",
+            "extends": base_theme,
+            "tokens": theme_tokens
+        }
+
+        # Validate
+        validation = self._validate_tokens(theme_tokens)
+
+        # Save to store
+        self.store._themes[name] = theme
+
+        return {
+            "name": name,
+            "extends": base_theme,
+            "tokens": theme_tokens,
+            "validation": validation,
+            "complete": validation["complete"]
+        }
+
+    async def theme_validate(self, theme_name: str) -> Dict[str, Any]:
+        """
+        Validate a theme for completeness.
+
+        Args:
+            theme_name: Theme name to validate
+
+        Returns:
+            Dict with:
+                - valid: bool
+                - complete: bool (all optional tokens present)
+                - missing: List of missing required tokens
+                - warnings: List of warnings
+        """
+        theme = self.store.get_theme(theme_name)
+        if not theme:
+            available = self.store.list_themes()
+            return {
+                "error": f"Theme '{theme_name}' not found. Available: {available}",
+                "valid": False
+            }
+
+        tokens = theme.get("tokens", {})
+        validation = self._validate_tokens(tokens)
+
+        return {
+            "theme_name": theme_name,
+            "valid": validation["valid"],
+            "complete": validation["complete"],
+            "missing_required": validation["missing_required"],
+            "missing_optional": validation["missing_optional"],
+            "warnings": validation["warnings"]
+        }
+
+    async def theme_export_css(self, theme_name: str) -> Dict[str, Any]:
+        """
+        Export a theme as CSS custom properties.
+
+        Args:
+            theme_name: Theme name to export
+
+        Returns:
+            Dict with:
+                - css: CSS custom properties string
+                - variables: List of variable names
+        """
+        theme = self.store.get_theme(theme_name)
+        if not theme:
+            available = self.store.list_themes()
+            return {
+                "error": f"Theme '{theme_name}' not found. Available: {available}",
+                "css": None
+            }
+
+        tokens = theme.get("tokens", {})
+        css_vars = []
+        var_names = []
+
+        # Convert tokens to CSS custom properties
+        css_vars.append(f"/* Theme: {theme_name} */")
+        css_vars.append(":root {")
+
+        # Colors
+        colors = tokens.get("colors", {})
+        css_vars.append("  /* Colors */")
+        for key, value in self._flatten_tokens(colors, "color").items():
+            var_name = f"--{key}"
+            css_vars.append(f"  {var_name}: {value};")
+            var_names.append(var_name)
+
+        # Spacing
+        spacing = tokens.get("spacing", {})
+        css_vars.append("\n  /* Spacing */")
+        for key, value in spacing.items():
+            var_name = f"--spacing-{key}"
+            css_vars.append(f"  {var_name}: {value};")
+            var_names.append(var_name)
+
+        # Typography
+        typography = tokens.get("typography", {})
+        css_vars.append("\n  /* Typography */")
+        for key, value in self._flatten_tokens(typography, "font").items():
+            var_name = f"--{key}"
+            css_vars.append(f"  {var_name}: {value};")
+            var_names.append(var_name)
+
+        # Radii
+        radii = tokens.get("radii", {})
+        css_vars.append("\n  /* Border Radius */")
+        for key, value in radii.items():
+            var_name = f"--radius-{key}"
+            css_vars.append(f"  {var_name}: {value};")
+            var_names.append(var_name)
+
+        # Shadows
+        shadows = tokens.get("shadows", {})
+        if shadows:
+            css_vars.append("\n  /* Shadows */")
+            for key, value in shadows.items():
+                var_name = f"--shadow-{key}"
+                css_vars.append(f"  {var_name}: {value};")
+                var_names.append(var_name)
+
+        # Transitions
+        transitions = tokens.get("transitions", {})
+        if transitions:
+            css_vars.append("\n  /* Transitions */")
+            for key, value in transitions.items():
+                var_name = f"--transition-{key}"
+                css_vars.append(f"  {var_name}: {value};")
+                var_names.append(var_name)
+
+        css_vars.append("}")
+
+        css_content = "\n".join(css_vars)
+
+        return {
+            "theme_name": theme_name,
+            "css": css_content,
+            "variable_count": len(var_names),
+            "variables": var_names
+        }
+
+    async def theme_list(self) -> Dict[str, Any]:
+        """
+        List all available themes.
+
+        Returns:
+            Dict with theme names and active theme
+        """
+        themes = self.store.list_themes()
+        active = self.store._active_theme
+
+        theme_info = {}
+        for name in themes:
+            theme = self.store.get_theme(name)
+            theme_info[name] = {
+                "extends": theme.get("extends"),
+                "version": theme.get("version", "1.0.0")
+            }
+
+        return {
+            "themes": theme_info,
+            "active_theme": active,
+            "count": len(themes)
+        }
+
+    async def theme_activate(self, theme_name: str) -> Dict[str, Any]:
+        """
+        Set the active theme.
+
+        Args:
+            theme_name: Theme to activate
+
+        Returns:
+            Dict with activation status
+        """
+        if self.store.set_active_theme(theme_name):
+            return {
+                "active_theme": theme_name,
+                "success": True
+            }
+        return {
+            "error": f"Theme '{theme_name}' not found.",
+            "success": False
+        }
+
+    def _validate_tokens(self, tokens: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate token structure and completeness."""
+        missing_required = []
+        missing_optional = []
+        warnings = []
+
+        # Check required categories
+        for category in REQUIRED_TOKEN_CATEGORIES:
+            if category not in tokens:
+                missing_required.append(category)
+
+        # Check colors structure
+        colors = tokens.get("colors", {})
+        required_colors = ["primary", "background", "text"]
+        for color in required_colors:
+            if color not in colors:
+                missing_required.append(f"colors.{color}")
+
+        # Check spacing
+        spacing = tokens.get("spacing", {})
+        required_spacing = ["xs", "sm", "md", "lg"]
+        for size in required_spacing:
+            if size not in spacing:
+                missing_optional.append(f"spacing.{size}")
+
+        # Check typography
+        typography = tokens.get("typography", {})
+        if "fontFamily" not in typography:
+            missing_optional.append("typography.fontFamily")
+        if "fontSize" not in typography:
+            missing_optional.append("typography.fontSize")
+
+        # Check radii
+        radii = tokens.get("radii", {})
+        if "sm" not in radii and "md" not in radii:
+            missing_optional.append("radii.sm or radii.md")
+
+        # Warnings for common issues
+        if "shadows" not in tokens:
+            warnings.append("No shadows defined - components may have no elevation")
+        if "transitions" not in tokens:
+            warnings.append("No transitions defined - animations will use defaults")
+
+        return {
+            "valid": len(missing_required) == 0,
+            "complete": len(missing_required) == 0 and len(missing_optional) == 0,
+            "missing_required": missing_required,
+            "missing_optional": missing_optional,
+            "warnings": warnings
+        }
+
+    def _deep_merge(
+        self,
+        base: Dict[str, Any],
+        override: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """Deep merge two dictionaries."""
+        result = copy.deepcopy(base)
+
+        for key, value in override.items():
+            if key in result and isinstance(result[key], dict) and isinstance(value, dict):
+                result[key] = self._deep_merge(result[key], value)
+            else:
+                result[key] = value
+
+        return result
+
+    def _flatten_tokens(
+        self,
+        tokens: Dict[str, Any],
+        prefix: str
+    ) -> Dict[str, str]:
+        """Flatten nested token dict for CSS export."""
+        result = {}
+
+        for key, value in tokens.items():
+            if isinstance(value, dict):
+                nested = self._flatten_tokens(value, f"{prefix}-{key}")
+                result.update(nested)
+            else:
+                result[f"{prefix}-{key}"] = str(value)
+
+        return result

mcp-servers/viz-platform/pyproject.toml

@@ -0,0 +1,45 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "viz-platform-mcp"
+version = "1.0.0"
+description = "MCP Server for visualization with Dash Mantine Components validation and theming"
+readme = "README.md"
+license = {text = "MIT"}
+requires-python = ">=3.10"
+authors = [
+    {name = "Leo Miranda"}
+]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+]
+dependencies = [
+    "mcp>=0.9.0",
+    "plotly>=5.18.0",
+    "dash>=2.14.0",
+    "dash-mantine-components>=2.0.0",
+    "python-dotenv>=1.0.0",
+    "pydantic>=2.5.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=7.4.3",
+    "pytest-asyncio>=0.23.0",
+]
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["mcp_server*"]
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]

mcp-servers/viz-platform/registry/dmc_2_5.json

@@ -0,0 +1,668 @@
+{
+  "version": "2.5.1",
+  "generated": "2026-01-26",
+  "mantine_version": "7.x",
+  "categories": {
+    "buttons": ["Button", "ButtonGroup", "ActionIcon", "ActionIconGroup", "CopyButton", "CloseButton", "UnstyledButton"],
+    "inputs": [
+      "TextInput", "PasswordInput", "NumberInput", "Textarea", "Select", "MultiSelect",
+      "Checkbox", "CheckboxGroup", "CheckboxCard", "Switch", "Radio", "RadioGroup", "RadioCard",
+      "Slider", "RangeSlider", "ColorInput", "ColorPicker", "Autocomplete", "TagsInput",
+      "PinInput", "Rating", "SegmentedControl", "Chip", "ChipGroup", "JsonInput",
+      "NativeSelect", "FileInput", "Combobox"
+    ],
+    "navigation": ["Anchor", "Breadcrumbs", "Burger", "NavLink", "Pagination", "Stepper", "Tabs", "TabsList", "TabsTab", "TabsPanel"],
+    "feedback": ["Alert", "Loader", "Notification", "NotificationContainer", "Progress", "RingProgress", "Skeleton"],
+    "overlays": ["Modal", "Drawer", "DrawerStack", "Popover", "HoverCard", "Tooltip", "FloatingTooltip", "Menu", "MenuTarget", "MenuDropdown", "MenuItem", "Affix"],
+    "typography": ["Text", "Title", "Highlight", "Mark", "Code", "CodeHighlight", "Blockquote", "List", "ListItem", "Kbd"],
+    "layout": [
+      "AppShell", "AppShellHeader", "AppShellNavbar", "AppShellAside", "AppShellFooter", "AppShellMain", "AppShellSection",
+      "Container", "Center", "Stack", "Group", "Flex", "Grid", "GridCol", "SimpleGrid",
+      "Paper", "Card", "CardSection", "Box", "Space", "Divider", "AspectRatio", "ScrollArea"
+    ],
+    "data_display": [
+      "Accordion", "AccordionItem", "AccordionControl", "AccordionPanel",
+      "Avatar", "AvatarGroup", "Badge", "Image", "BackgroundImage",
+      "Indicator", "Spoiler", "Table", "ThemeIcon", "Timeline", "TimelineItem", "Tree"
+    ],
+    "charts": ["AreaChart", "BarChart", "LineChart", "PieChart", "DonutChart", "RadarChart", "ScatterChart", "BubbleChart", "CompositeChart", "Sparkline"],
+    "dates": ["DatePicker", "DateTimePicker", "DateInput", "DatePickerInput", "MonthPicker", "YearPicker", "TimePicker", "TimeInput", "Calendar", "MiniCalendar", "DatesProvider"]
+  },
+  "components": {
+    "Button": {
+      "description": "Button component for user interactions",
+      "props": {
+        "children": {"type": "any", "description": "Button content"},
+        "variant": {"type": "string", "enum": ["filled", "light", "outline", "transparent", "white", "subtle", "default", "gradient"], "default": "filled"},
+        "color": {"type": "string", "default": "blue", "description": "Key of theme.colors or CSS color"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl", "compact-xs", "compact-sm", "compact-md", "compact-lg", "compact-xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "disabled": {"type": "boolean", "default": false},
+        "loading": {"type": "boolean", "default": false},
+        "loaderProps": {"type": "object"},
+        "leftSection": {"type": "any", "description": "Content on the left side of label"},
+        "rightSection": {"type": "any", "description": "Content on the right side of label"},
+        "fullWidth": {"type": "boolean", "default": false},
+        "gradient": {"type": "object", "description": "Gradient for gradient variant"},
+        "justify": {"type": "string", "enum": ["center", "start", "end", "space-between"], "default": "center"},
+        "autoContrast": {"type": "boolean", "default": false},
+        "n_clicks": {"type": "integer", "default": 0, "description": "Dash callback trigger"}
+      }
+    },
+    "ActionIcon": {
+      "description": "Icon button without text label",
+      "props": {
+        "children": {"type": "any", "required": true, "description": "Icon element"},
+        "variant": {"type": "string", "enum": ["filled", "light", "outline", "transparent", "white", "subtle", "default", "gradient"], "default": "subtle"},
+        "color": {"type": "string", "default": "gray"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "disabled": {"type": "boolean", "default": false},
+        "loading": {"type": "boolean", "default": false},
+        "autoContrast": {"type": "boolean", "default": false},
+        "n_clicks": {"type": "integer", "default": 0}
+      }
+    },
+    "TextInput": {
+      "description": "Text input field",
+      "props": {
+        "value": {"type": "string", "default": ""},
+        "placeholder": {"type": "string"},
+        "label": {"type": "any"},
+        "description": {"type": "any"},
+        "error": {"type": "any"},
+        "disabled": {"type": "boolean", "default": false},
+        "required": {"type": "boolean", "default": false},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "variant": {"type": "string", "enum": ["default", "filled", "unstyled"], "default": "default"},
+        "leftSection": {"type": "any"},
+        "rightSection": {"type": "any"},
+        "withAsterisk": {"type": "boolean", "default": false},
+        "debounce": {"type": "integer", "description": "Debounce delay in ms"},
+        "leftSectionPointerEvents": {"type": "string", "enum": ["none", "all"], "default": "none"},
+        "rightSectionPointerEvents": {"type": "string", "enum": ["none", "all"], "default": "none"}
+      }
+    },
+    "NumberInput": {
+      "description": "Numeric input with optional controls",
+      "props": {
+        "value": {"type": "number"},
+        "placeholder": {"type": "string"},
+        "label": {"type": "any"},
+        "description": {"type": "any"},
+        "error": {"type": "any"},
+        "disabled": {"type": "boolean", "default": false},
+        "required": {"type": "boolean", "default": false},
+        "min": {"type": "number"},
+        "max": {"type": "number"},
+        "step": {"type": "number", "default": 1},
+        "hideControls": {"type": "boolean", "default": false},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "allowNegative": {"type": "boolean", "default": true},
+        "allowDecimal": {"type": "boolean", "default": true},
+        "clampBehavior": {"type": "string", "enum": ["strict", "blur", "none"], "default": "blur"},
+        "decimalScale": {"type": "integer"},
+        "fixedDecimalScale": {"type": "boolean", "default": false},
+        "thousandSeparator": {"type": "string"},
+        "decimalSeparator": {"type": "string"},
+        "prefix": {"type": "string"},
+        "suffix": {"type": "string"}
+      }
+    },
+    "Select": {
+      "description": "Dropdown select input",
+      "props": {
+        "value": {"type": "string"},
+        "data": {"type": "array", "required": true, "description": "Array of options: strings or {value, label} objects"},
+        "placeholder": {"type": "string"},
+        "label": {"type": "any"},
+        "description": {"type": "any"},
+        "error": {"type": "any"},
+        "disabled": {"type": "boolean", "default": false},
+        "required": {"type": "boolean", "default": false},
+        "searchable": {"type": "boolean", "default": false},
+        "clearable": {"type": "boolean", "default": false},
+        "nothingFoundMessage": {"type": "string"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "maxDropdownHeight": {"type": "number", "default": 250},
+        "allowDeselect": {"type": "boolean", "default": true},
+        "checkIconPosition": {"type": "string", "enum": ["left", "right"], "default": "left"},
+        "comboboxProps": {"type": "object"},
+        "withScrollArea": {"type": "boolean", "default": true}
+      }
+    },
+    "MultiSelect": {
+      "description": "Multiple selection dropdown",
+      "props": {
+        "value": {"type": "array", "default": []},
+        "data": {"type": "array", "required": true},
+        "placeholder": {"type": "string"},
+        "label": {"type": "any"},
+        "description": {"type": "any"},
+        "error": {"type": "any"},
+        "disabled": {"type": "boolean", "default": false},
+        "required": {"type": "boolean", "default": false},
+        "searchable": {"type": "boolean", "default": false},
+        "clearable": {"type": "boolean", "default": false},
+        "maxValues": {"type": "integer"},
+        "hidePickedOptions": {"type": "boolean", "default": false},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "maxDropdownHeight": {"type": "number", "default": 250},
+        "withCheckIcon": {"type": "boolean", "default": true}
+      }
+    },
+    "Checkbox": {
+      "description": "Checkbox input",
+      "props": {
+        "checked": {"type": "boolean", "default": false},
+        "label": {"type": "any"},
+        "description": {"type": "any"},
+        "error": {"type": "any"},
+        "disabled": {"type": "boolean", "default": false},
+        "indeterminate": {"type": "boolean", "default": false},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "color": {"type": "string", "default": "blue"},
+        "labelPosition": {"type": "string", "enum": ["left", "right"], "default": "right"},
+        "autoContrast": {"type": "boolean", "default": false},
+        "icon": {"type": "any"},
+        "iconColor": {"type": "string"}
+      }
+    },
+    "Switch": {
+      "description": "Toggle switch input",
+      "props": {
+        "checked": {"type": "boolean", "default": false},
+        "label": {"type": "any"},
+        "description": {"type": "any"},
+        "error": {"type": "any"},
+        "disabled": {"type": "boolean", "default": false},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "xl"},
+        "color": {"type": "string", "default": "blue"},
+        "onLabel": {"type": "any"},
+        "offLabel": {"type": "any"},
+        "thumbIcon": {"type": "any"},
+        "labelPosition": {"type": "string", "enum": ["left", "right"], "default": "right"}
+      }
+    },
+    "Slider": {
+      "description": "Slider input for numeric values",
+      "props": {
+        "value": {"type": "number"},
+        "min": {"type": "number", "default": 0},
+        "max": {"type": "number", "default": 100},
+        "step": {"type": "number", "default": 1},
+        "label": {"type": "any"},
+        "disabled": {"type": "boolean", "default": false},
+        "marks": {"type": "array"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "xl"},
+        "color": {"type": "string", "default": "blue"},
+        "showLabelOnHover": {"type": "boolean", "default": true},
+        "labelAlwaysOn": {"type": "boolean", "default": false},
+        "thumbLabel": {"type": "string"},
+        "precision": {"type": "integer", "default": 0},
+        "inverted": {"type": "boolean", "default": false},
+        "thumbSize": {"type": "number"},
+        "restrictToMarks": {"type": "boolean", "default": false}
+      }
+    },
+    "Alert": {
+      "description": "Alert component for feedback messages",
+      "props": {
+        "children": {"type": "any"},
+        "title": {"type": "any"},
+        "color": {"type": "string", "default": "blue"},
+        "variant": {"type": "string", "enum": ["filled", "light", "outline", "default", "transparent", "white"], "default": "light"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "icon": {"type": "any"},
+        "withCloseButton": {"type": "boolean", "default": false},
+        "closeButtonLabel": {"type": "string"},
+        "autoContrast": {"type": "boolean", "default": false}
+      }
+    },
+    "Loader": {
+      "description": "Loading indicator",
+      "props": {
+        "color": {"type": "string", "default": "blue"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "type": {"type": "string", "enum": ["oval", "bars", "dots"], "default": "oval"}
+      }
+    },
+    "Progress": {
+      "description": "Progress bar",
+      "props": {
+        "value": {"type": "number", "required": true},
+        "color": {"type": "string", "default": "blue"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "striped": {"type": "boolean", "default": false},
+        "animated": {"type": "boolean", "default": false},
+        "autoContrast": {"type": "boolean", "default": false},
+        "transitionDuration": {"type": "number", "default": 100}
+      }
+    },
+    "Modal": {
+      "description": "Modal dialog overlay",
+      "props": {
+        "children": {"type": "any"},
+        "opened": {"type": "boolean", "required": true},
+        "title": {"type": "any"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl", "auto"], "default": "md"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "centered": {"type": "boolean", "default": false},
+        "fullScreen": {"type": "boolean", "default": false},
+        "withCloseButton": {"type": "boolean", "default": true},
+        "closeOnClickOutside": {"type": "boolean", "default": true},
+        "closeOnEscape": {"type": "boolean", "default": true},
+        "overlayProps": {"type": "object"},
+        "padding": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "transitionProps": {"type": "object"},
+        "zIndex": {"type": "number", "default": 200},
+        "trapFocus": {"type": "boolean", "default": true},
+        "returnFocus": {"type": "boolean", "default": true},
+        "lockScroll": {"type": "boolean", "default": true}
+      }
+    },
+    "Drawer": {
+      "description": "Sliding panel drawer",
+      "props": {
+        "children": {"type": "any"},
+        "opened": {"type": "boolean", "required": true},
+        "title": {"type": "any"},
+        "position": {"type": "string", "enum": ["left", "right", "top", "bottom"], "default": "left"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]},
+        "withCloseButton": {"type": "boolean", "default": true},
+        "closeOnClickOutside": {"type": "boolean", "default": true},
+        "closeOnEscape": {"type": "boolean", "default": true},
+        "overlayProps": {"type": "object"},
+        "padding": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "zIndex": {"type": "number", "default": 200},
+        "offset": {"type": "number", "default": 0},
+        "trapFocus": {"type": "boolean", "default": true},
+        "returnFocus": {"type": "boolean", "default": true},
+        "lockScroll": {"type": "boolean", "default": true}
+      }
+    },
+    "Tooltip": {
+      "description": "Tooltip on hover",
+      "props": {
+        "children": {"type": "any", "required": true},
+        "label": {"type": "any", "required": true},
+        "position": {"type": "string", "enum": ["top", "right", "bottom", "left", "top-start", "top-end", "right-start", "right-end", "bottom-start", "bottom-end", "left-start", "left-end"], "default": "top"},
+        "color": {"type": "string"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "withArrow": {"type": "boolean", "default": false},
+        "arrowSize": {"type": "number", "default": 4},
+        "arrowOffset": {"type": "number", "default": 5},
+        "offset": {"type": "number", "default": 5},
+        "multiline": {"type": "boolean", "default": false},
+        "disabled": {"type": "boolean", "default": false},
+        "openDelay": {"type": "number", "default": 0},
+        "closeDelay": {"type": "number", "default": 0},
+        "transitionProps": {"type": "object"},
+        "zIndex": {"type": "number", "default": 300}
+      }
+    },
+    "Text": {
+      "description": "Text component with styling",
+      "props": {
+        "children": {"type": "any"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]},
+        "c": {"type": "string", "description": "Color"},
+        "fw": {"type": "number", "description": "Font weight"},
+        "fs": {"type": "string", "enum": ["normal", "italic"], "description": "Font style"},
+        "td": {"type": "string", "enum": ["none", "underline", "line-through"], "description": "Text decoration"},
+        "tt": {"type": "string", "enum": ["none", "capitalize", "uppercase", "lowercase"], "description": "Text transform"},
+        "ta": {"type": "string", "enum": ["left", "center", "right", "justify"], "description": "Text align"},
+        "lineClamp": {"type": "integer"},
+        "truncate": {"type": "boolean", "default": false},
+        "inherit": {"type": "boolean", "default": false},
+        "gradient": {"type": "object"},
+        "span": {"type": "boolean", "default": false},
+        "lh": {"type": "string", "description": "Line height"}
+      }
+    },
+    "Title": {
+      "description": "Heading component",
+      "props": {
+        "children": {"type": "any"},
+        "order": {"type": "integer", "enum": [1, 2, 3, 4, 5, 6], "default": 1},
+        "size": {"type": "string"},
+        "c": {"type": "string", "description": "Color"},
+        "ta": {"type": "string", "enum": ["left", "center", "right", "justify"]},
+        "td": {"type": "string", "enum": ["none", "underline", "line-through"]},
+        "tt": {"type": "string", "enum": ["none", "capitalize", "uppercase", "lowercase"]},
+        "lineClamp": {"type": "integer"},
+        "truncate": {"type": "boolean", "default": false}
+      }
+    },
+    "Stack": {
+      "description": "Vertical stack layout",
+      "props": {
+        "children": {"type": "any"},
+        "gap": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "align": {"type": "string", "enum": ["stretch", "center", "flex-start", "flex-end"], "default": "stretch"},
+        "justify": {"type": "string", "enum": ["flex-start", "flex-end", "center", "space-between", "space-around", "space-evenly"], "default": "flex-start"}
+      }
+    },
+    "Group": {
+      "description": "Horizontal group layout",
+      "props": {
+        "children": {"type": "any"},
+        "gap": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "align": {"type": "string", "enum": ["stretch", "center", "flex-start", "flex-end"], "default": "center"},
+        "justify": {"type": "string", "enum": ["flex-start", "flex-end", "center", "space-between", "space-around"], "default": "flex-start"},
+        "grow": {"type": "boolean", "default": false},
+        "wrap": {"type": "string", "enum": ["wrap", "nowrap", "wrap-reverse"], "default": "wrap"},
+        "preventGrowOverflow": {"type": "boolean", "default": true}
+      }
+    },
+    "Flex": {
+      "description": "Flexbox container",
+      "props": {
+        "children": {"type": "any"},
+        "gap": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]},
+        "rowGap": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]},
+        "columnGap": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]},
+        "align": {"type": "string", "enum": ["stretch", "center", "flex-start", "flex-end", "baseline"]},
+        "justify": {"type": "string", "enum": ["flex-start", "flex-end", "center", "space-between", "space-around", "space-evenly"]},
+        "wrap": {"type": "string", "enum": ["wrap", "nowrap", "wrap-reverse"], "default": "nowrap"},
+        "direction": {"type": "string", "enum": ["row", "column", "row-reverse", "column-reverse"], "default": "row"}
+      }
+    },
+    "Grid": {
+      "description": "Grid layout component",
+      "props": {
+        "children": {"type": "any"},
+        "columns": {"type": "integer", "default": 12},
+        "gutter": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "grow": {"type": "boolean", "default": false},
+        "justify": {"type": "string", "enum": ["flex-start", "flex-end", "center", "space-between", "space-around"], "default": "flex-start"},
+        "align": {"type": "string", "enum": ["stretch", "center", "flex-start", "flex-end"], "default": "stretch"},
+        "overflow": {"type": "string", "enum": ["visible", "hidden"], "default": "visible"}
+      }
+    },
+    "SimpleGrid": {
+      "description": "Simple grid with equal columns",
+      "props": {
+        "children": {"type": "any"},
+        "cols": {"type": "integer", "default": 1},
+        "spacing": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "verticalSpacing": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]}
+      }
+    },
+    "Container": {
+      "description": "Centered container with max-width",
+      "props": {
+        "children": {"type": "any"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "fluid": {"type": "boolean", "default": false}
+      }
+    },
+    "Paper": {
+      "description": "Paper surface component",
+      "props": {
+        "children": {"type": "any"},
+        "shadow": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "p": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "description": "Padding"},
+        "withBorder": {"type": "boolean", "default": false}
+      }
+    },
+    "Card": {
+      "description": "Card container",
+      "props": {
+        "children": {"type": "any"},
+        "shadow": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "padding": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "withBorder": {"type": "boolean", "default": false}
+      }
+    },
+    "Tabs": {
+      "description": "Tabbed interface",
+      "props": {
+        "children": {"type": "any"},
+        "value": {"type": "string"},
+        "defaultValue": {"type": "string"},
+        "orientation": {"type": "string", "enum": ["horizontal", "vertical"], "default": "horizontal"},
+        "variant": {"type": "string", "enum": ["default", "outline", "pills"], "default": "default"},
+        "color": {"type": "string", "default": "blue"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "placement": {"type": "string", "enum": ["left", "right"], "default": "left"},
+        "grow": {"type": "boolean", "default": false},
+        "inverted": {"type": "boolean", "default": false},
+        "keepMounted": {"type": "boolean", "default": true},
+        "activateTabWithKeyboard": {"type": "boolean", "default": true},
+        "allowTabDeactivation": {"type": "boolean", "default": false},
+        "autoContrast": {"type": "boolean", "default": false}
+      }
+    },
+    "Accordion": {
+      "description": "Collapsible content panels",
+      "props": {
+        "children": {"type": "any"},
+        "value": {"type": "any"},
+        "defaultValue": {"type": "any"},
+        "multiple": {"type": "boolean", "default": false},
+        "variant": {"type": "string", "enum": ["default", "contained", "filled", "separated"], "default": "default"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "chevronPosition": {"type": "string", "enum": ["left", "right"], "default": "right"},
+        "disableChevronRotation": {"type": "boolean", "default": false},
+        "transitionDuration": {"type": "number", "default": 200},
+        "chevronSize": {"type": "any"},
+        "order": {"type": "integer", "enum": [2, 3, 4, 5, 6]}
+      }
+    },
+    "Badge": {
+      "description": "Badge for status or labels",
+      "props": {
+        "children": {"type": "any"},
+        "color": {"type": "string", "default": "blue"},
+        "variant": {"type": "string", "enum": ["filled", "light", "outline", "dot", "gradient", "default", "transparent", "white"], "default": "filled"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "xl"},
+        "fullWidth": {"type": "boolean", "default": false},
+        "leftSection": {"type": "any"},
+        "rightSection": {"type": "any"},
+        "autoContrast": {"type": "boolean", "default": false},
+        "circle": {"type": "boolean", "default": false}
+      }
+    },
+    "Avatar": {
+      "description": "User avatar image",
+      "props": {
+        "src": {"type": "string"},
+        "alt": {"type": "string"},
+        "children": {"type": "any", "description": "Fallback content"},
+        "color": {"type": "string", "default": "gray"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "md"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "xl"},
+        "variant": {"type": "string", "enum": ["filled", "light", "outline", "gradient", "default", "transparent", "white"], "default": "filled"},
+        "autoContrast": {"type": "boolean", "default": false}
+      }
+    },
+    "Image": {
+      "description": "Image with fallback",
+      "props": {
+        "src": {"type": "string"},
+        "alt": {"type": "string"},
+        "w": {"type": "any", "description": "Width"},
+        "h": {"type": "any", "description": "Height"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"]},
+        "fit": {"type": "string", "enum": ["contain", "cover", "fill", "none", "scale-down"], "default": "cover"},
+        "fallbackSrc": {"type": "string"}
+      }
+    },
+    "Table": {
+      "description": "Data table component",
+      "props": {
+        "children": {"type": "any"},
+        "data": {"type": "object", "description": "Table data object with head, body, foot"},
+        "striped": {"type": "boolean", "default": false},
+        "highlightOnHover": {"type": "boolean", "default": false},
+        "withTableBorder": {"type": "boolean", "default": false},
+        "withColumnBorders": {"type": "boolean", "default": false},
+        "withRowBorders": {"type": "boolean", "default": true},
+        "verticalSpacing": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "xs"},
+        "horizontalSpacing": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "xs"},
+        "captionSide": {"type": "string", "enum": ["top", "bottom"], "default": "bottom"},
+        "stickyHeader": {"type": "boolean", "default": false},
+        "stickyHeaderOffset": {"type": "number", "default": 0}
+      }
+    },
+    "AreaChart": {
+      "description": "Area chart for time series data",
+      "props": {
+        "data": {"type": "array", "required": true},
+        "dataKey": {"type": "string", "required": true, "description": "X-axis data key"},
+        "series": {"type": "array", "required": true, "description": "Array of {name, color} objects"},
+        "h": {"type": "any", "description": "Chart height"},
+        "w": {"type": "any", "description": "Chart width"},
+        "curveType": {"type": "string", "enum": ["bump", "linear", "natural", "monotone", "step", "stepBefore", "stepAfter"], "default": "monotone"},
+        "connectNulls": {"type": "boolean", "default": true},
+        "withDots": {"type": "boolean", "default": true},
+        "withGradient": {"type": "boolean", "default": true},
+        "withLegend": {"type": "boolean", "default": false},
+        "withTooltip": {"type": "boolean", "default": true},
+        "withXAxis": {"type": "boolean", "default": true},
+        "withYAxis": {"type": "boolean", "default": true},
+        "gridAxis": {"type": "string", "enum": ["x", "y", "xy", "none"], "default": "x"},
+        "tickLine": {"type": "string", "enum": ["x", "y", "xy", "none"], "default": "y"},
+        "strokeDasharray": {"type": "string"},
+        "fillOpacity": {"type": "number", "default": 0.2},
+        "splitColors": {"type": "array"},
+        "areaChartProps": {"type": "object"},
+        "type": {"type": "string", "enum": ["default", "stacked", "percent", "split"], "default": "default"}
+      }
+    },
+    "BarChart": {
+      "description": "Bar chart for categorical data",
+      "props": {
+        "data": {"type": "array", "required": true},
+        "dataKey": {"type": "string", "required": true},
+        "series": {"type": "array", "required": true},
+        "h": {"type": "any"},
+        "w": {"type": "any"},
+        "orientation": {"type": "string", "enum": ["horizontal", "vertical"], "default": "vertical"},
+        "withLegend": {"type": "boolean", "default": false},
+        "withTooltip": {"type": "boolean", "default": true},
+        "withXAxis": {"type": "boolean", "default": true},
+        "withYAxis": {"type": "boolean", "default": true},
+        "gridAxis": {"type": "string", "enum": ["x", "y", "xy", "none"], "default": "x"},
+        "tickLine": {"type": "string", "enum": ["x", "y", "xy", "none"], "default": "y"},
+        "barProps": {"type": "object"},
+        "type": {"type": "string", "enum": ["default", "stacked", "percent", "waterfall"], "default": "default"}
+      }
+    },
+    "LineChart": {
+      "description": "Line chart for trends",
+      "props": {
+        "data": {"type": "array", "required": true},
+        "dataKey": {"type": "string", "required": true},
+        "series": {"type": "array", "required": true},
+        "h": {"type": "any"},
+        "w": {"type": "any"},
+        "curveType": {"type": "string", "enum": ["bump", "linear", "natural", "monotone", "step", "stepBefore", "stepAfter"], "default": "monotone"},
+        "connectNulls": {"type": "boolean", "default": true},
+        "withDots": {"type": "boolean", "default": true},
+        "withLegend": {"type": "boolean", "default": false},
+        "withTooltip": {"type": "boolean", "default": true},
+        "withXAxis": {"type": "boolean", "default": true},
+        "withYAxis": {"type": "boolean", "default": true},
+        "gridAxis": {"type": "string", "enum": ["x", "y", "xy", "none"], "default": "x"},
+        "strokeWidth": {"type": "number", "default": 2}
+      }
+    },
+    "PieChart": {
+      "description": "Pie chart for proportions",
+      "props": {
+        "data": {"type": "array", "required": true, "description": "Array of {name, value, color} objects"},
+        "h": {"type": "any"},
+        "w": {"type": "any"},
+        "withLabels": {"type": "boolean", "default": false},
+        "withLabelsLine": {"type": "boolean", "default": true},
+        "withTooltip": {"type": "boolean", "default": true},
+        "labelsPosition": {"type": "string", "enum": ["inside", "outside"], "default": "outside"},
+        "labelsType": {"type": "string", "enum": ["value", "percent"], "default": "value"},
+        "strokeWidth": {"type": "number", "default": 1},
+        "strokeColor": {"type": "string"},
+        "startAngle": {"type": "number", "default": 0},
+        "endAngle": {"type": "number", "default": 360}
+      }
+    },
+    "DonutChart": {
+      "description": "Donut chart (pie with hole)",
+      "props": {
+        "data": {"type": "array", "required": true},
+        "h": {"type": "any"},
+        "w": {"type": "any"},
+        "withLabels": {"type": "boolean", "default": false},
+        "withLabelsLine": {"type": "boolean", "default": true},
+        "withTooltip": {"type": "boolean", "default": true},
+        "thickness": {"type": "number", "default": 20},
+        "chartLabel": {"type": "any"},
+        "strokeWidth": {"type": "number", "default": 1},
+        "strokeColor": {"type": "string"},
+        "startAngle": {"type": "number", "default": 0},
+        "endAngle": {"type": "number", "default": 360},
+        "paddingAngle": {"type": "number", "default": 0}
+      }
+    },
+    "DatePicker": {
+      "description": "Date picker calendar",
+      "props": {
+        "value": {"type": "string"},
+        "type": {"type": "string", "enum": ["default", "range", "multiple"], "default": "default"},
+        "defaultValue": {"type": "any"},
+        "allowDeselect": {"type": "boolean", "default": false},
+        "allowSingleDateInRange": {"type": "boolean", "default": false},
+        "numberOfColumns": {"type": "integer", "default": 1},
+        "columnsToScroll": {"type": "integer", "default": 1},
+        "ariaLabels": {"type": "object"},
+        "hideOutsideDates": {"type": "boolean", "default": false},
+        "hideWeekdays": {"type": "boolean", "default": false},
+        "weekendDays": {"type": "array", "default": [0, 6]},
+        "renderDay": {"type": "any"},
+        "minDate": {"type": "string"},
+        "maxDate": {"type": "string"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"}
+      }
+    },
+    "DatePickerInput": {
+      "description": "Date picker input field",
+      "props": {
+        "value": {"type": "string"},
+        "label": {"type": "any"},
+        "description": {"type": "any"},
+        "error": {"type": "any"},
+        "placeholder": {"type": "string"},
+        "clearable": {"type": "boolean", "default": false},
+        "type": {"type": "string", "enum": ["default", "range", "multiple"], "default": "default"},
+        "valueFormat": {"type": "string", "default": "MMMM D, YYYY"},
+        "size": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "radius": {"type": "string", "enum": ["xs", "sm", "md", "lg", "xl"], "default": "sm"},
+        "disabled": {"type": "boolean", "default": false},
+        "required": {"type": "boolean", "default": false},
+        "minDate": {"type": "string"},
+        "maxDate": {"type": "string"},
+        "popoverProps": {"type": "object"},
+        "dropdownType": {"type": "string", "enum": ["popover", "modal"], "default": "popover"}
+      }
+    },
+    "DatesProvider": {
+      "description": "Provider for date localization settings",
+      "props": {
+        "children": {"type": "any", "required": true},
+        "settings": {"type": "object", "description": "Locale and formatting settings"}
+      }
+    }
+  }
+}

mcp-servers/viz-platform/requirements.txt

@@ -0,0 +1,15 @@
+# MCP SDK
+mcp>=0.9.0
+
+# Visualization
+plotly>=5.18.0
+dash>=2.14.0
+dash-mantine-components>=2.0.0
+
+# Utilities
+python-dotenv>=1.0.0
+pydantic>=2.5.0
+
+# Testing
+pytest>=7.4.3
+pytest-asyncio>=0.23.0

mcp-servers/viz-platform/scripts/generate-dmc-registry.py

@@ -0,0 +1,262 @@
+#!/usr/bin/env python3
+"""
+Generate DMC Component Registry from installed dash-mantine-components package.
+
+This script introspects the installed DMC package and generates a JSON registry
+file containing component definitions, props, types, and defaults.
+
+Usage:
+    python generate-dmc-registry.py [--output registry/dmc_X_Y.json]
+
+Requirements:
+    - dash-mantine-components must be installed
+    - Run from the mcp-servers/viz-platform directory
+"""
+import argparse
+import inspect
+import json
+import sys
+from datetime import date
+from pathlib import Path
+from typing import Any, Dict, List, Optional, get_type_hints
+
+
+def get_dmc_version() -> Optional[str]:
+    """Get installed DMC version."""
+    try:
+        from importlib.metadata import version
+        return version('dash-mantine-components')
+    except Exception:
+        return None
+
+
+def get_component_categories() -> Dict[str, List[str]]:
+    """Define component categories."""
+    return {
+        "buttons": ["Button", "ActionIcon", "CopyButton", "FileButton", "UnstyledButton"],
+        "inputs": [
+            "TextInput", "PasswordInput", "NumberInput", "Textarea",
+            "Select", "MultiSelect", "Checkbox", "Switch", "Radio",
+            "Slider", "RangeSlider", "ColorInput", "ColorPicker",
+            "DateInput", "DatePicker", "TimeInput"
+        ],
+        "navigation": ["Anchor", "Breadcrumbs", "Burger", "NavLink", "Pagination", "Stepper", "Tabs"],
+        "feedback": ["Alert", "Loader", "Notification", "Progress", "RingProgress", "Skeleton"],
+        "overlays": ["Dialog", "Drawer", "HoverCard", "Menu", "Modal", "Popover", "Tooltip"],
+        "typography": ["Blockquote", "Code", "Highlight", "Mark", "Text", "Title"],
+        "layout": [
+            "AppShell", "AspectRatio", "Center", "Container", "Flex",
+            "Grid", "Group", "Paper", "SimpleGrid", "Space", "Stack"
+        ],
+        "data": [
+            "Accordion", "Avatar", "Badge", "Card", "Image",
+            "Indicator", "Kbd", "Spoiler", "Table", "ThemeIcon", "Timeline"
+        ]
+    }
+
+
+def extract_prop_type(prop_info: Dict[str, Any]) -> Dict[str, Any]:
+    """Extract prop type information from Dash component prop."""
+    result = {"type": "any"}
+
+    if 'type' not in prop_info:
+        return result
+
+    prop_type = prop_info['type']
+
+    if isinstance(prop_type, dict):
+        type_name = prop_type.get('name', 'any')
+
+        # Map Dash types to JSON schema types
+        type_mapping = {
+            'string': 'string',
+            'number': 'number',
+            'bool': 'boolean',
+            'boolean': 'boolean',
+            'array': 'array',
+            'object': 'object',
+            'node': 'any',
+            'element': 'any',
+            'any': 'any',
+            'func': 'any',
+        }
+
+        result['type'] = type_mapping.get(type_name, 'any')
+
+        # Handle enums
+        if type_name == 'enum' and 'value' in prop_type:
+            values = prop_type['value']
+            if isinstance(values, list):
+                enum_values = []
+                for v in values:
+                    if isinstance(v, dict) and 'value' in v:
+                        # Remove quotes from string values
+                        val = v['value'].strip("'\"")
+                        enum_values.append(val)
+                    elif isinstance(v, str):
+                        enum_values.append(v.strip("'\""))
+                if enum_values:
+                    result['enum'] = enum_values
+                    result['type'] = 'string'
+
+        # Handle union types
+        elif type_name == 'union' and 'value' in prop_type:
+            # For unions, just mark as any for simplicity
+            result['type'] = 'any'
+
+    elif isinstance(prop_type, str):
+        result['type'] = prop_type
+
+    return result
+
+
+def extract_component_props(component_class) -> Dict[str, Any]:
+    """Extract props from a Dash component class."""
+    props = {}
+
+    # Try to get _prop_names or similar
+    if hasattr(component_class, '_prop_names'):
+        prop_names = component_class._prop_names
+    else:
+        prop_names = []
+
+    # Try to get _type attribute for prop definitions
+    if hasattr(component_class, '_type'):
+        prop_types = getattr(component_class, '_type', {})
+    else:
+        prop_types = {}
+
+    # Get default values
+    if hasattr(component_class, '_default_props'):
+        defaults = component_class._default_props
+    else:
+        defaults = {}
+
+    # Try to extract from _prop_descriptions
+    if hasattr(component_class, '_prop_descriptions'):
+        descriptions = component_class._prop_descriptions
+    else:
+        descriptions = {}
+
+    for prop_name in prop_names:
+        if prop_name.startswith('_'):
+            continue
+
+        prop_info = {}
+
+        # Get type info if available
+        if prop_name in prop_types:
+            prop_info = extract_prop_type({'type': prop_types[prop_name]})
+        else:
+            prop_info = {'type': 'any'}
+
+        # Add default if exists
+        if prop_name in defaults:
+            prop_info['default'] = defaults[prop_name]
+
+        # Add description if exists
+        if prop_name in descriptions:
+            prop_info['description'] = descriptions[prop_name]
+
+        props[prop_name] = prop_info
+
+    return props
+
+
+def generate_registry() -> Dict[str, Any]:
+    """Generate the component registry from installed DMC."""
+    try:
+        import dash_mantine_components as dmc
+    except ImportError:
+        print("ERROR: dash-mantine-components not installed")
+        print("Install with: pip install dash-mantine-components")
+        sys.exit(1)
+
+    version = get_dmc_version()
+    categories = get_component_categories()
+
+    registry = {
+        "version": version,
+        "generated": date.today().isoformat(),
+        "categories": categories,
+        "components": {}
+    }
+
+    # Get all components from categories
+    all_components = set()
+    for comp_list in categories.values():
+        all_components.update(comp_list)
+
+    # Extract props for each component
+    for comp_name in sorted(all_components):
+        if hasattr(dmc, comp_name):
+            comp_class = getattr(dmc, comp_name)
+            try:
+                props = extract_component_props(comp_class)
+                if props:
+                    registry["components"][comp_name] = {
+                        "description": comp_class.__doc__ or f"{comp_name} component",
+                        "props": props
+                    }
+                    print(f"  Extracted: {comp_name} ({len(props)} props)")
+            except Exception as e:
+                print(f"  Warning: Failed to extract {comp_name}: {e}")
+        else:
+            print(f"  Warning: Component not found: {comp_name}")
+
+    return registry
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Generate DMC component registry from installed package"
+    )
+    parser.add_argument(
+        '--output', '-o',
+        type=str,
+        help='Output file path (default: auto-generated based on version)'
+    )
+    parser.add_argument(
+        '--dry-run',
+        action='store_true',
+        help='Print to stdout instead of writing file'
+    )
+
+    args = parser.parse_args()
+
+    print("Generating DMC Component Registry...")
+    print("=" * 50)
+
+    registry = generate_registry()
+
+    print("=" * 50)
+    print(f"Generated registry for DMC {registry['version']}")
+    print(f"Total components: {len(registry['components'])}")
+
+    if args.dry_run:
+        print(json.dumps(registry, indent=2))
+        return
+
+    # Determine output path
+    if args.output:
+        output_path = Path(args.output)
+    else:
+        version = registry['version']
+        if version:
+            major_minor = '_'.join(version.split('.')[:2])
+            output_path = Path(__file__).parent.parent / 'registry' / f'dmc_{major_minor}.json'
+        else:
+            output_path = Path(__file__).parent.parent / 'registry' / 'dmc_unknown.json'
+
+    # Create directory if needed
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+
+    # Write registry
+    with open(output_path, 'w') as f:
+        json.dump(registry, indent=2, fp=f)
+
+    print(f"Registry written to: {output_path}")
+
+
+if __name__ == "__main__":
+    main()

mcp-servers/viz-platform/tests/__init__.py

@@ -0,0 +1 @@
+"""viz-platform MCP Server tests."""

mcp-servers/viz-platform/tests/test_chart_tools.py

@@ -0,0 +1,271 @@
+"""
+Unit tests for chart creation tools.
+"""
+import pytest
+from unittest.mock import MagicMock, patch
+
+
+@pytest.fixture
+def chart_tools():
+    """Create ChartTools instance"""
+    from mcp_server.chart_tools import ChartTools
+    return ChartTools()
+
+
+@pytest.fixture
+def chart_tools_with_theme():
+    """Create ChartTools instance with a theme"""
+    from mcp_server.chart_tools import ChartTools
+
+    tools = ChartTools()
+    tools.set_theme({
+        "colors": {
+            "primary": "#ff0000",
+            "secondary": "#00ff00",
+            "success": "#0000ff"
+        }
+    })
+    return tools
+
+
+def test_chart_tools_init():
+    """Test chart tools initialization"""
+    from mcp_server.chart_tools import ChartTools
+
+    tools = ChartTools()
+
+    assert tools.theme_store is None
+    assert tools._active_theme is None
+
+
+def test_set_theme(chart_tools):
+    """Test setting active theme"""
+    theme = {"colors": {"primary": "#123456"}}
+
+    chart_tools.set_theme(theme)
+
+    assert chart_tools._active_theme == theme
+
+
+def test_get_color_palette_default(chart_tools):
+    """Test getting default color palette"""
+    from mcp_server.chart_tools import DEFAULT_COLORS
+
+    palette = chart_tools._get_color_palette()
+
+    assert palette == DEFAULT_COLORS
+
+
+def test_get_color_palette_with_theme(chart_tools_with_theme):
+    """Test getting color palette from theme"""
+    palette = chart_tools_with_theme._get_color_palette()
+
+    # Should start with theme colors
+    assert palette[0] == "#ff0000"
+    assert palette[1] == "#00ff00"
+    assert palette[2] == "#0000ff"
+
+
+def test_resolve_color_from_theme(chart_tools_with_theme):
+    """Test resolving color token from theme"""
+    color = chart_tools_with_theme._resolve_color("primary")
+
+    assert color == "#ff0000"
+
+
+def test_resolve_color_hex(chart_tools):
+    """Test resolving hex color"""
+    color = chart_tools._resolve_color("#abcdef")
+
+    assert color == "#abcdef"
+
+
+def test_resolve_color_rgb(chart_tools):
+    """Test resolving rgb color"""
+    color = chart_tools._resolve_color("rgb(255, 0, 0)")
+
+    assert color == "rgb(255, 0, 0)"
+
+
+def test_resolve_color_named(chart_tools):
+    """Test resolving named color"""
+    color = chart_tools._resolve_color("blue")
+
+    assert color == "#228be6"  # DEFAULT_COLORS[0]
+
+
+def test_resolve_color_none(chart_tools):
+    """Test resolving None color defaults to first palette color"""
+    from mcp_server.chart_tools import DEFAULT_COLORS
+
+    color = chart_tools._resolve_color(None)
+
+    assert color == DEFAULT_COLORS[0]
+
+
+@pytest.mark.asyncio
+async def test_chart_create_line(chart_tools):
+    """Test creating a line chart"""
+    data = {
+        "x": [1, 2, 3, 4, 5],
+        "y": [10, 20, 15, 25, 30]
+    }
+
+    result = await chart_tools.chart_create("line", data)
+
+    assert "figure" in result
+    assert result["chart_type"] == "line"
+    assert "error" not in result or result["error"] is None
+
+
+@pytest.mark.asyncio
+async def test_chart_create_bar(chart_tools):
+    """Test creating a bar chart"""
+    data = {
+        "x": ["A", "B", "C"],
+        "y": [10, 20, 15]
+    }
+
+    result = await chart_tools.chart_create("bar", data)
+
+    assert "figure" in result
+    assert result["chart_type"] == "bar"
+
+
+@pytest.mark.asyncio
+async def test_chart_create_scatter(chart_tools):
+    """Test creating a scatter chart"""
+    data = {
+        "x": [1, 2, 3, 4, 5],
+        "y": [10, 20, 15, 25, 30]
+    }
+
+    result = await chart_tools.chart_create("scatter", data)
+
+    assert "figure" in result
+    assert result["chart_type"] == "scatter"
+
+
+@pytest.mark.asyncio
+async def test_chart_create_pie(chart_tools):
+    """Test creating a pie chart"""
+    data = {
+        "labels": ["A", "B", "C"],
+        "values": [30, 50, 20]
+    }
+
+    result = await chart_tools.chart_create("pie", data)
+
+    assert "figure" in result
+    assert result["chart_type"] == "pie"
+
+
+@pytest.mark.asyncio
+async def test_chart_create_histogram(chart_tools):
+    """Test creating a histogram"""
+    data = {
+        "x": [1, 1, 2, 2, 2, 3, 3, 4, 5, 5, 5, 5]
+    }
+
+    result = await chart_tools.chart_create("histogram", data)
+
+    assert "figure" in result
+    assert result["chart_type"] == "histogram"
+
+
+@pytest.mark.asyncio
+async def test_chart_create_area(chart_tools):
+    """Test creating an area chart"""
+    data = {
+        "x": [1, 2, 3, 4, 5],
+        "y": [10, 20, 15, 25, 30]
+    }
+
+    result = await chart_tools.chart_create("area", data)
+
+    assert "figure" in result
+    assert result["chart_type"] == "area"
+
+
+@pytest.mark.asyncio
+async def test_chart_create_heatmap(chart_tools):
+    """Test creating a heatmap"""
+    data = {
+        "z": [[1, 2, 3], [4, 5, 6], [7, 8, 9]],
+        "x": ["A", "B", "C"],
+        "y": ["X", "Y", "Z"]
+    }
+
+    result = await chart_tools.chart_create("heatmap", data)
+
+    assert "figure" in result
+    assert result["chart_type"] == "heatmap"
+
+
+@pytest.mark.asyncio
+async def test_chart_create_invalid_type(chart_tools):
+    """Test creating chart with invalid type"""
+    data = {"x": [1, 2, 3], "y": [10, 20, 30]}
+
+    result = await chart_tools.chart_create("invalid_type", data)
+
+    assert "error" in result
+    assert "invalid" in result["error"].lower()
+
+
+@pytest.mark.asyncio
+async def test_chart_create_with_options(chart_tools):
+    """Test creating chart with options"""
+    data = {
+        "x": [1, 2, 3],
+        "y": [10, 20, 30]
+    }
+    options = {
+        "title": "My Chart",
+        "color": "red"
+    }
+
+    result = await chart_tools.chart_create("line", data, options=options)
+
+    assert "figure" in result
+    # The title should be applied to the figure
+
+
+@pytest.mark.asyncio
+async def test_chart_create_with_theme(chart_tools_with_theme):
+    """Test that theme colors are applied to chart"""
+    data = {
+        "x": [1, 2, 3],
+        "y": [10, 20, 30]
+    }
+
+    result = await chart_tools_with_theme.chart_create("line", data)
+
+    assert "figure" in result
+    # Chart should use theme colors
+
+
+@pytest.mark.asyncio
+async def test_chart_configure_interaction(chart_tools):
+    """Test configuring chart interaction"""
+    # Create a simple figure first
+    data = {"x": [1, 2, 3], "y": [10, 20, 30]}
+    chart_result = await chart_tools.chart_create("line", data)
+    figure = chart_result.get("figure", {})
+
+    if hasattr(chart_tools, 'chart_configure_interaction'):
+        result = await chart_tools.chart_configure_interaction(
+            figure=figure,
+            interactions={"zoom": True, "pan": True}
+        )
+
+        # Just verify it doesn't crash
+        assert result is not None
+
+
+def test_default_colors_defined():
+    """Test that DEFAULT_COLORS is properly defined"""
+    from mcp_server.chart_tools import DEFAULT_COLORS
+
+    assert len(DEFAULT_COLORS) == 10
+    assert all(c.startswith("#") for c in DEFAULT_COLORS)

mcp-servers/viz-platform/tests/test_component_registry.py

@@ -0,0 +1,292 @@
+"""
+Unit tests for DMC component registry.
+"""
+import pytest
+import json
+from pathlib import Path
+from unittest.mock import patch, MagicMock
+
+
+@pytest.fixture
+def sample_registry_data():
+    """Sample registry data for testing"""
+    return {
+        "version": "2.5.1",
+        "categories": {
+            "buttons": ["Button", "ActionIcon"],
+            "inputs": ["TextInput", "NumberInput", "Select"]
+        },
+        "components": {
+            "Button": {
+                "description": "Button component",
+                "props": {
+                    "variant": {
+                        "type": "string",
+                        "enum": ["filled", "outline", "light"],
+                        "default": "filled"
+                    },
+                    "color": {
+                        "type": "string",
+                        "default": "blue"
+                    },
+                    "size": {
+                        "type": "string",
+                        "enum": ["xs", "sm", "md", "lg", "xl"],
+                        "default": "sm"
+                    },
+                    "disabled": {
+                        "type": "boolean",
+                        "default": False
+                    }
+                }
+            },
+            "TextInput": {
+                "description": "Text input field",
+                "props": {
+                    "value": {"type": "string", "default": ""},
+                    "placeholder": {"type": "string"},
+                    "disabled": {"type": "boolean", "default": False},
+                    "required": {"type": "boolean", "default": False}
+                }
+            }
+        }
+    }
+
+
+@pytest.fixture
+def registry_file(tmp_path, sample_registry_data):
+    """Create a temporary registry file"""
+    registry_dir = tmp_path / "registry"
+    registry_dir.mkdir()
+    registry_file = registry_dir / "dmc_2_5.json"
+    registry_file.write_text(json.dumps(sample_registry_data))
+    return registry_file
+
+
+@pytest.fixture
+def registry(registry_file):
+    """Create a ComponentRegistry with mock registry directory"""
+    from mcp_server.component_registry import ComponentRegistry
+
+    reg = ComponentRegistry(dmc_version="2.5.1")
+    reg.registry_dir = registry_file.parent
+    reg.load()
+    return reg
+
+
+def test_registry_init():
+    """Test registry initialization"""
+    from mcp_server.component_registry import ComponentRegistry
+
+    reg = ComponentRegistry(dmc_version="2.5.1")
+
+    assert reg.dmc_version == "2.5.1"
+    assert reg.components == {}
+    assert reg.categories == {}
+    assert reg.loaded_version is None
+
+
+def test_registry_load_success(registry, sample_registry_data):
+    """Test successful registry loading"""
+    assert registry.is_loaded()
+    assert registry.loaded_version == "2.5.1"
+    assert len(registry.components) == 2
+    assert "Button" in registry.components
+    assert "TextInput" in registry.components
+
+
+def test_registry_load_no_file():
+    """Test registry loading when no file exists"""
+    from mcp_server.component_registry import ComponentRegistry
+
+    reg = ComponentRegistry(dmc_version="99.99.99")
+    reg.registry_dir = Path("/nonexistent/path")
+
+    result = reg.load()
+
+    assert result is False
+    assert not reg.is_loaded()
+
+
+def test_get_component(registry):
+    """Test getting a component by name"""
+    button = registry.get_component("Button")
+
+    assert button is not None
+    assert button["description"] == "Button component"
+    assert "props" in button
+
+
+def test_get_component_not_found(registry):
+    """Test getting a nonexistent component"""
+    result = registry.get_component("NonexistentComponent")
+
+    assert result is None
+
+
+def test_get_component_props(registry):
+    """Test getting component props"""
+    props = registry.get_component_props("Button")
+
+    assert props is not None
+    assert "variant" in props
+    assert "color" in props
+    assert props["variant"]["type"] == "string"
+    assert props["variant"]["enum"] == ["filled", "outline", "light"]
+
+
+def test_get_component_props_not_found(registry):
+    """Test getting props for nonexistent component"""
+    props = registry.get_component_props("Nonexistent")
+
+    assert props is None
+
+
+def test_list_components_all(registry):
+    """Test listing all components"""
+    result = registry.list_components()
+
+    assert "buttons" in result
+    assert "inputs" in result
+    assert "Button" in result["buttons"]
+    assert "TextInput" in result["inputs"]
+
+
+def test_list_components_by_category(registry):
+    """Test listing components by category"""
+    result = registry.list_components(category="buttons")
+
+    assert len(result) == 1
+    assert "buttons" in result
+    assert "Button" in result["buttons"]
+
+
+def test_list_components_invalid_category(registry):
+    """Test listing components with invalid category"""
+    result = registry.list_components(category="nonexistent")
+
+    assert result == {}
+
+
+def test_get_categories(registry):
+    """Test getting available categories"""
+    categories = registry.get_categories()
+
+    assert "buttons" in categories
+    assert "inputs" in categories
+
+
+def test_validate_prop_valid_enum(registry):
+    """Test validating a valid enum prop"""
+    result = registry.validate_prop("Button", "variant", "filled")
+
+    assert result["valid"] is True
+
+
+def test_validate_prop_invalid_enum(registry):
+    """Test validating an invalid enum prop"""
+    result = registry.validate_prop("Button", "variant", "invalid_variant")
+
+    assert result["valid"] is False
+    assert "expects one of" in result["error"]
+
+
+def test_validate_prop_valid_type(registry):
+    """Test validating a valid type"""
+    result = registry.validate_prop("Button", "disabled", True)
+
+    assert result["valid"] is True
+
+
+def test_validate_prop_invalid_type(registry):
+    """Test validating an invalid type"""
+    result = registry.validate_prop("Button", "disabled", "not_a_boolean")
+
+    assert result["valid"] is False
+    assert "expects type" in result["error"]
+
+
+def test_validate_prop_unknown_component(registry):
+    """Test validating prop for unknown component"""
+    result = registry.validate_prop("Nonexistent", "prop", "value")
+
+    assert result["valid"] is False
+    assert "Unknown component" in result["error"]
+
+
+def test_validate_prop_unknown_prop(registry):
+    """Test validating an unknown prop"""
+    result = registry.validate_prop("Button", "unknownProp", "value")
+
+    assert result["valid"] is False
+    assert "Unknown prop" in result["error"]
+
+
+def test_validate_prop_typo_detection(registry):
+    """Test typo detection for similar prop names"""
+    # colour vs color
+    result = registry.validate_prop("Button", "colour", "blue")
+
+    assert result["valid"] is False
+    # Should suggest 'color'
+    assert "color" in result.get("error", "").lower()
+
+
+def test_find_similar_props(registry):
+    """Test finding similar prop names"""
+    available = ["color", "variant", "size", "disabled"]
+
+    # Should match despite case difference
+    similar = registry._find_similar_props("Color", available)
+    assert similar == "color"
+
+    # Should match with slight typo
+    similar = registry._find_similar_props("colours", ["color", "variant"])
+    # May or may not match depending on heuristic
+
+
+def test_load_registry_convenience_function(registry_file):
+    """Test the convenience function"""
+    from mcp_server.component_registry import load_registry, ComponentRegistry
+
+    with patch.object(ComponentRegistry, '__init__', return_value=None) as mock_init:
+        with patch.object(ComponentRegistry, 'load', return_value=True):
+            mock_init.return_value = None
+            # Can't easily test this without mocking more - just ensure it doesn't crash
+            pass
+
+
+def test_find_registry_file_exact_match(tmp_path):
+    """Test finding exact registry file match"""
+    from mcp_server.component_registry import ComponentRegistry
+
+    # Create registry files
+    registry_dir = tmp_path / "registry"
+    registry_dir.mkdir()
+    (registry_dir / "dmc_2_5.json").write_text('{"version": "2.5.0"}')
+
+    reg = ComponentRegistry(dmc_version="2.5.1")
+    reg.registry_dir = registry_dir
+
+    result = reg._find_registry_file()
+
+    assert result is not None
+    assert result.name == "dmc_2_5.json"
+
+
+def test_find_registry_file_fallback(tmp_path):
+    """Test fallback to latest registry when no exact match"""
+    from mcp_server.component_registry import ComponentRegistry
+
+    # Create registry files
+    registry_dir = tmp_path / "registry"
+    registry_dir.mkdir()
+    (registry_dir / "dmc_0_14.json").write_text('{"version": "0.14.0"}')
+
+    reg = ComponentRegistry(dmc_version="2.5.1")  # No exact match
+    reg.registry_dir = registry_dir
+
+    result = reg._find_registry_file()
+
+    assert result is not None
+    assert result.name == "dmc_0_14.json"  # Falls back to available

mcp-servers/viz-platform/tests/test_config.py

@@ -0,0 +1,156 @@
+"""
+Unit tests for viz-platform configuration loader.
+"""
+import pytest
+import os
+from pathlib import Path
+from unittest.mock import patch, MagicMock
+
+
+@pytest.fixture
+def clean_env():
+    """Clean environment variables before test"""
+    env_vars = ['DMC_VERSION', 'CLAUDE_PROJECT_DIR', 'VIZ_DEFAULT_THEME']
+    saved = {k: os.environ.get(k) for k in env_vars}
+    for k in env_vars:
+        if k in os.environ:
+            del os.environ[k]
+    yield
+    # Restore after test
+    for k, v in saved.items():
+        if v is not None:
+            os.environ[k] = v
+        elif k in os.environ:
+            del os.environ[k]
+
+
+@pytest.fixture
+def config():
+    """Create VizPlatformConfig instance"""
+    from mcp_server.config import VizPlatformConfig
+    return VizPlatformConfig()
+
+
+def test_config_init(config):
+    """Test config initialization"""
+    assert config.dmc_version is None
+    assert config.theme_dir_user == Path.home() / '.config' / 'claude' / 'themes'
+    assert config.theme_dir_project is None
+    assert config.default_theme is None
+
+
+def test_config_load_returns_dict(config, clean_env):
+    """Test config.load() returns expected structure"""
+    result = config.load()
+
+    assert isinstance(result, dict)
+    assert 'dmc_version' in result
+    assert 'dmc_available' in result
+    assert 'theme_dir_user' in result
+    assert 'theme_dir_project' in result
+    assert 'default_theme' in result
+    assert 'project_dir' in result
+
+
+def test_config_respects_env_dmc_version(config, clean_env):
+    """Test that DMC_VERSION env var is respected"""
+    os.environ['DMC_VERSION'] = '0.14.7'
+
+    result = config.load()
+
+    assert result['dmc_version'] == '0.14.7'
+    assert result['dmc_available'] is True
+
+
+def test_config_respects_default_theme_env(config, clean_env):
+    """Test that VIZ_DEFAULT_THEME env var is respected"""
+    os.environ['VIZ_DEFAULT_THEME'] = 'my-dark-theme'
+
+    result = config.load()
+
+    assert result['default_theme'] == 'my-dark-theme'
+
+
+def test_detect_dmc_version_not_installed(config):
+    """Test DMC version detection when not installed"""
+    with patch('importlib.metadata.version', side_effect=ImportError("not installed")):
+        version = config._detect_dmc_version()
+
+    assert version is None
+
+
+def test_detect_dmc_version_installed(config):
+    """Test DMC version detection when installed"""
+    with patch('importlib.metadata.version', return_value='0.14.7'):
+        version = config._detect_dmc_version()
+
+    assert version == '0.14.7'
+
+
+def test_find_project_directory_from_env(config, clean_env, tmp_path):
+    """Test project directory detection from CLAUDE_PROJECT_DIR"""
+    os.environ['CLAUDE_PROJECT_DIR'] = str(tmp_path)
+
+    result = config._find_project_directory()
+
+    assert result == tmp_path
+
+
+def test_find_project_directory_with_git(config, clean_env, tmp_path):
+    """Test project directory detection with .git folder"""
+    git_dir = tmp_path / '.git'
+    git_dir.mkdir()
+
+    with patch.dict(os.environ, {'PWD': str(tmp_path)}):
+        result = config._find_project_directory()
+
+    assert result == tmp_path
+
+
+def test_find_project_directory_with_env_file(config, clean_env, tmp_path):
+    """Test project directory detection with .env file"""
+    env_file = tmp_path / '.env'
+    env_file.touch()
+
+    with patch.dict(os.environ, {'PWD': str(tmp_path)}):
+        result = config._find_project_directory()
+
+    assert result == tmp_path
+
+
+def test_load_config_convenience_function(clean_env):
+    """Test the convenience function load_config()"""
+    from mcp_server.config import load_config
+
+    result = load_config()
+
+    assert isinstance(result, dict)
+    assert 'dmc_version' in result
+
+
+def test_check_dmc_version_not_installed(clean_env):
+    """Test check_dmc_version when DMC not installed"""
+    from mcp_server.config import check_dmc_version
+
+    with patch('mcp_server.config.load_config', return_value={'dmc_available': False}):
+        result = check_dmc_version()
+
+    assert result['installed'] is False
+    assert 'not installed' in result['message'].lower()
+
+
+def test_check_dmc_version_installed_with_registry(clean_env, tmp_path):
+    """Test check_dmc_version when DMC installed with matching registry"""
+    from mcp_server.config import check_dmc_version
+
+    mock_config = {
+        'dmc_available': True,
+        'dmc_version': '2.5.1'
+    }
+
+    with patch('mcp_server.config.load_config', return_value=mock_config):
+        with patch('pathlib.Path.exists', return_value=True):
+            result = check_dmc_version()
+
+    assert result['installed'] is True
+    assert result['version'] == '2.5.1'

mcp-servers/viz-platform/tests/test_dmc_tools.py

@@ -0,0 +1,283 @@
+"""
+Unit tests for DMC validation tools.
+"""
+import pytest
+from unittest.mock import MagicMock, patch
+
+
+@pytest.fixture
+def mock_registry():
+    """Create a mock component registry"""
+    registry = MagicMock()
+    registry.is_loaded.return_value = True
+    registry.loaded_version = "2.5.1"
+
+    registry.categories = {
+        "buttons": ["Button", "ActionIcon"],
+        "inputs": ["TextInput", "Select"]
+    }
+
+    registry.list_components.return_value = registry.categories
+    registry.get_categories.return_value = ["buttons", "inputs"]
+
+    # Mock Button component
+    registry.get_component.side_effect = lambda name: {
+        "Button": {
+            "description": "Button component",
+            "props": {
+                "variant": {"type": "string", "enum": ["filled", "outline"], "default": "filled"},
+                "color": {"type": "string", "default": "blue"},
+                "size": {"type": "string", "enum": ["xs", "sm", "md", "lg"], "default": "sm"},
+                "disabled": {"type": "boolean", "default": False, "required": False}
+            }
+        },
+        "TextInput": {
+            "description": "Text input",
+            "props": {
+                "value": {"type": "string", "required": True},
+                "placeholder": {"type": "string"}
+            }
+        }
+    }.get(name)
+
+    registry.get_component_props.side_effect = lambda name: {
+        "Button": {
+            "variant": {"type": "string", "enum": ["filled", "outline"], "default": "filled"},
+            "color": {"type": "string", "default": "blue"},
+            "size": {"type": "string", "enum": ["xs", "sm", "md", "lg"], "default": "sm"},
+            "disabled": {"type": "boolean", "default": False}
+        },
+        "TextInput": {
+            "value": {"type": "string", "required": True},
+            "placeholder": {"type": "string"}
+        }
+    }.get(name)
+
+    registry.validate_prop.side_effect = lambda comp, prop, val: (
+        {"valid": True} if prop in ["variant", "color", "size", "disabled", "value", "placeholder"]
+        else {"valid": False, "error": f"Unknown prop '{prop}'"}
+    )
+
+    return registry
+
+
+@pytest.fixture
+def dmc_tools(mock_registry):
+    """Create DMCTools instance with mock registry"""
+    from mcp_server.dmc_tools import DMCTools
+
+    tools = DMCTools(registry=mock_registry)
+    tools._initialized = True
+    return tools
+
+
+@pytest.fixture
+def uninitialized_tools():
+    """Create uninitialized DMCTools instance"""
+    from mcp_server.dmc_tools import DMCTools
+    return DMCTools()
+
+
+@pytest.mark.asyncio
+async def test_list_components_all(dmc_tools):
+    """Test listing all components"""
+    result = await dmc_tools.list_components()
+
+    assert "components" in result
+    assert "categories" in result
+    assert "version" in result
+    assert result["version"] == "2.5.1"
+
+
+@pytest.mark.asyncio
+async def test_list_components_by_category(dmc_tools, mock_registry):
+    """Test listing components by category"""
+    mock_registry.list_components.return_value = {"buttons": ["Button", "ActionIcon"]}
+
+    result = await dmc_tools.list_components(category="buttons")
+
+    assert "buttons" in result["components"]
+    mock_registry.list_components.assert_called_with("buttons")
+
+
+@pytest.mark.asyncio
+async def test_list_components_not_initialized(uninitialized_tools):
+    """Test listing components when not initialized"""
+    result = await uninitialized_tools.list_components()
+
+    assert "error" in result
+    assert result["total_count"] == 0
+
+
+@pytest.mark.asyncio
+async def test_get_component_props_success(dmc_tools):
+    """Test getting component props"""
+    result = await dmc_tools.get_component_props("Button")
+
+    assert result["component"] == "Button"
+    assert "props" in result
+    assert result["prop_count"] > 0
+
+
+@pytest.mark.asyncio
+async def test_get_component_props_not_found(dmc_tools, mock_registry):
+    """Test getting props for nonexistent component"""
+    mock_registry.get_component.return_value = None
+
+    result = await dmc_tools.get_component_props("Nonexistent")
+
+    assert "error" in result
+    assert "not found" in result["error"]
+
+
+@pytest.mark.asyncio
+async def test_get_component_props_not_initialized(uninitialized_tools):
+    """Test getting props when not initialized"""
+    result = await uninitialized_tools.get_component_props("Button")
+
+    assert "error" in result
+    assert result["prop_count"] == 0
+
+
+@pytest.mark.asyncio
+async def test_validate_component_valid(dmc_tools, mock_registry):
+    """Test validating valid component props"""
+    props = {
+        "variant": "filled",
+        "color": "blue",
+        "size": "md"
+    }
+
+    result = await dmc_tools.validate_component("Button", props)
+
+    assert result["valid"] is True
+    assert len(result["errors"]) == 0
+    assert result["component"] == "Button"
+
+
+@pytest.mark.asyncio
+async def test_validate_component_invalid_prop(dmc_tools, mock_registry):
+    """Test validating with invalid prop name"""
+    mock_registry.validate_prop.side_effect = lambda comp, prop, val: (
+        {"valid": False, "error": f"Unknown prop '{prop}'"} if prop == "unknownProp"
+        else {"valid": True}
+    )
+
+    props = {"unknownProp": "value"}
+
+    result = await dmc_tools.validate_component("Button", props)
+
+    assert result["valid"] is False
+    assert len(result["errors"]) > 0
+
+
+@pytest.mark.asyncio
+async def test_validate_component_missing_required(dmc_tools, mock_registry):
+    """Test validating with missing required prop"""
+    # TextInput has required value prop
+    mock_registry.get_component.return_value = {
+        "props": {
+            "value": {"type": "string", "required": True}
+        }
+    }
+
+    result = await dmc_tools.validate_component("TextInput", {})
+
+    assert result["valid"] is False
+    assert any("required" in e.lower() for e in result["errors"])
+
+
+@pytest.mark.asyncio
+async def test_validate_component_not_found(dmc_tools, mock_registry):
+    """Test validating nonexistent component"""
+    mock_registry.get_component.return_value = None
+
+    result = await dmc_tools.validate_component("Nonexistent", {"prop": "value"})
+
+    assert result["valid"] is False
+    assert "Unknown component" in result["errors"][0]
+
+
+@pytest.mark.asyncio
+async def test_validate_component_not_initialized(uninitialized_tools):
+    """Test validating when not initialized"""
+    result = await uninitialized_tools.validate_component("Button", {})
+
+    assert result["valid"] is False
+    assert "not initialized" in result["errors"][0].lower()
+
+
+@pytest.mark.asyncio
+async def test_validate_component_skips_special_props(dmc_tools, mock_registry):
+    """Test that special props (id, children, etc) are skipped"""
+    props = {
+        "id": "my-button",
+        "children": "Click me",
+        "className": "my-class",
+        "style": {"color": "red"},
+        "key": "btn-1"
+    }
+
+    result = await dmc_tools.validate_component("Button", props)
+
+    # Should not error on special props
+    assert result["valid"] is True
+
+
+def test_find_similar_component(dmc_tools, mock_registry):
+    """Test finding similar component names"""
+    # Should find Button when given 'button' (case mismatch)
+    similar = dmc_tools._find_similar_component("button")
+
+    assert similar == "Button"
+
+
+def test_find_similar_component_prefix(dmc_tools, mock_registry):
+    """Test finding similar component with prefix match"""
+    similar = dmc_tools._find_similar_component("Butt")
+
+    assert similar == "Button"
+
+
+def test_check_common_mistakes_onclick(dmc_tools):
+    """Test detection of onclick event handler mistake"""
+    warnings = []
+    dmc_tools._check_common_mistakes("Button", {"onClick": "handler"}, warnings)
+
+    assert len(warnings) > 0
+    assert any("callback" in w.lower() for w in warnings)
+
+
+def test_check_common_mistakes_class(dmc_tools):
+    """Test detection of 'class' instead of 'className'"""
+    warnings = []
+    dmc_tools._check_common_mistakes("Button", {"class": "my-class"}, warnings)
+
+    assert len(warnings) > 0
+    assert any("classname" in w.lower() for w in warnings)
+
+
+def test_check_common_mistakes_button_href(dmc_tools):
+    """Test detection of Button with href but no component prop"""
+    warnings = []
+    dmc_tools._check_common_mistakes("Button", {"href": "/link"}, warnings)
+
+    assert len(warnings) > 0
+    assert any("component" in w.lower() for w in warnings)
+
+
+def test_initialize_with_version():
+    """Test initializing tools with DMC version"""
+    from mcp_server.dmc_tools import DMCTools
+
+    tools = DMCTools()
+
+    with patch('mcp_server.dmc_tools.ComponentRegistry') as MockRegistry:
+        mock_instance = MagicMock()
+        mock_instance.is_loaded.return_value = True
+        MockRegistry.return_value = mock_instance
+
+        result = tools.initialize(dmc_version="2.5.1")
+
+        MockRegistry.assert_called_once_with("2.5.1")
+        assert result is True

mcp-servers/viz-platform/tests/test_theme_tools.py

@@ -0,0 +1,304 @@
+"""
+Unit tests for theme management tools.
+"""
+import pytest
+from unittest.mock import MagicMock, patch
+
+
+@pytest.fixture
+def theme_store():
+    """Create a fresh ThemeStore instance"""
+    from mcp_server.theme_store import ThemeStore
+    store = ThemeStore()
+    store._themes = {}  # Clear any existing themes
+    return store
+
+
+@pytest.fixture
+def theme_tools(theme_store):
+    """Create ThemeTools instance with fresh store"""
+    from mcp_server.theme_tools import ThemeTools
+    return ThemeTools(store=theme_store)
+
+
+def test_theme_store_init():
+    """Test theme store initialization"""
+    from mcp_server.theme_store import ThemeStore
+
+    store = ThemeStore()
+
+    # Should have default theme
+    assert store.get_theme("default") is not None
+
+
+def test_default_theme_structure():
+    """Test default theme has required structure"""
+    from mcp_server.theme_store import DEFAULT_THEME
+
+    assert "name" in DEFAULT_THEME
+    assert "tokens" in DEFAULT_THEME
+    assert "colors" in DEFAULT_THEME["tokens"]
+    assert "spacing" in DEFAULT_THEME["tokens"]
+    assert "typography" in DEFAULT_THEME["tokens"]
+    assert "radii" in DEFAULT_THEME["tokens"]
+
+
+def test_default_theme_colors():
+    """Test default theme has required color tokens"""
+    from mcp_server.theme_store import DEFAULT_THEME
+
+    colors = DEFAULT_THEME["tokens"]["colors"]
+
+    assert "primary" in colors
+    assert "secondary" in colors
+    assert "success" in colors
+    assert "warning" in colors
+    assert "error" in colors
+    assert "background" in colors
+    assert "text" in colors
+
+
+@pytest.mark.asyncio
+async def test_theme_create(theme_tools):
+    """Test creating a new theme"""
+    tokens = {
+        "colors": {
+            "primary": "#ff0000"
+        }
+    }
+
+    result = await theme_tools.theme_create("my-theme", tokens)
+
+    assert result["name"] == "my-theme"
+    assert "tokens" in result
+    assert result["tokens"]["colors"]["primary"] == "#ff0000"
+
+
+@pytest.mark.asyncio
+async def test_theme_create_merges_with_defaults(theme_tools):
+    """Test that new theme merges with default tokens"""
+    tokens = {
+        "colors": {
+            "primary": "#ff0000"
+        }
+    }
+
+    result = await theme_tools.theme_create("partial-theme", tokens)
+
+    # Should have primary from our tokens
+    assert result["tokens"]["colors"]["primary"] == "#ff0000"
+    # Should inherit secondary from defaults
+    assert "secondary" in result["tokens"]["colors"]
+
+
+@pytest.mark.asyncio
+async def test_theme_create_duplicate_name(theme_tools, theme_store):
+    """Test creating theme with existing name fails"""
+    # Create first theme
+    await theme_tools.theme_create("existing", {"colors": {}})
+
+    # Try to create with same name
+    result = await theme_tools.theme_create("existing", {"colors": {}})
+
+    assert "error" in result
+    assert "already exists" in result["error"]
+
+
+@pytest.mark.asyncio
+async def test_theme_extend(theme_tools, theme_store):
+    """Test extending an existing theme"""
+    # Create base theme
+    await theme_tools.theme_create("base", {
+        "colors": {"primary": "#0000ff"}
+    })
+
+    # Extend it
+    result = await theme_tools.theme_extend(
+        base_theme="base",
+        overrides={"colors": {"secondary": "#00ff00"}},
+        new_name="extended"
+    )
+
+    assert result["name"] == "extended"
+    # Should have base primary
+    assert result["tokens"]["colors"]["primary"] == "#0000ff"
+    # Should have override secondary
+    assert result["tokens"]["colors"]["secondary"] == "#00ff00"
+
+
+@pytest.mark.asyncio
+async def test_theme_extend_nonexistent_base(theme_tools):
+    """Test extending nonexistent theme fails"""
+    result = await theme_tools.theme_extend(
+        base_theme="nonexistent",
+        overrides={},
+        new_name="new"
+    )
+
+    assert "error" in result
+    assert "not found" in result["error"]
+
+
+@pytest.mark.asyncio
+async def test_theme_extend_default_name(theme_tools, theme_store):
+    """Test extending creates default name if not provided"""
+    await theme_tools.theme_create("base", {"colors": {}})
+
+    result = await theme_tools.theme_extend(
+        base_theme="base",
+        overrides={}
+        # No new_name provided
+    )
+
+    assert result["name"] == "base_extended"
+
+
+@pytest.mark.asyncio
+async def test_theme_validate(theme_tools, theme_store):
+    """Test theme validation"""
+    await theme_tools.theme_create("test-theme", {
+        "colors": {"primary": "#ff0000"},
+        "spacing": {"md": "16px"}
+    })
+
+    result = await theme_tools.theme_validate("test-theme")
+
+    assert "complete" in result or "validation" in result
+
+
+@pytest.mark.asyncio
+async def test_theme_validate_nonexistent(theme_tools):
+    """Test validating nonexistent theme"""
+    result = await theme_tools.theme_validate("nonexistent")
+
+    assert "error" in result
+
+
+@pytest.mark.asyncio
+async def test_theme_export_css(theme_tools, theme_store):
+    """Test exporting theme as CSS"""
+    await theme_tools.theme_create("css-theme", {
+        "colors": {"primary": "#ff0000"},
+        "spacing": {"md": "16px"}
+    })
+
+    result = await theme_tools.theme_export_css("css-theme")
+
+    assert "css" in result
+    # CSS should contain custom properties
+    assert "--" in result["css"]
+
+
+@pytest.mark.asyncio
+async def test_theme_export_css_nonexistent(theme_tools):
+    """Test exporting nonexistent theme"""
+    result = await theme_tools.theme_export_css("nonexistent")
+
+    assert "error" in result
+
+
+@pytest.mark.asyncio
+async def test_theme_list(theme_tools, theme_store):
+    """Test listing themes"""
+    await theme_tools.theme_create("theme1", {"colors": {}})
+    await theme_tools.theme_create("theme2", {"colors": {}})
+
+    result = await theme_tools.theme_list()
+
+    assert "themes" in result
+    assert "theme1" in result["themes"]
+    assert "theme2" in result["themes"]
+
+
+@pytest.mark.asyncio
+async def test_theme_activate(theme_tools, theme_store):
+    """Test activating a theme"""
+    await theme_tools.theme_create("active-theme", {"colors": {}})
+
+    result = await theme_tools.theme_activate("active-theme")
+
+    assert result.get("active_theme") == "active-theme" or result.get("success") is True
+
+
+@pytest.mark.asyncio
+async def test_theme_activate_nonexistent(theme_tools):
+    """Test activating nonexistent theme"""
+    result = await theme_tools.theme_activate("nonexistent")
+
+    assert "error" in result
+
+
+def test_theme_store_get_theme(theme_store):
+    """Test getting theme from store"""
+    from mcp_server.theme_store import DEFAULT_THEME
+
+    # Add a theme first, then retrieve it
+    theme_store._themes["test-theme"] = {"name": "test-theme", "tokens": {}}
+    result = theme_store.get_theme("test-theme")
+
+    assert result is not None
+    assert result["name"] == "test-theme"
+
+
+def test_theme_store_list_themes(theme_store):
+    """Test listing themes from store"""
+    result = theme_store.list_themes()
+
+    assert isinstance(result, list)
+
+
+def test_deep_merge(theme_tools):
+    """Test deep merging of token dicts"""
+    base = {
+        "colors": {
+            "primary": "#000",
+            "secondary": "#111"
+        },
+        "spacing": {"sm": "8px"}
+    }
+
+    override = {
+        "colors": {
+            "primary": "#fff"
+        }
+    }
+
+    result = theme_tools._deep_merge(base, override)
+
+    # primary should be overridden
+    assert result["colors"]["primary"] == "#fff"
+    # secondary should remain
+    assert result["colors"]["secondary"] == "#111"
+    # spacing should remain
+    assert result["spacing"]["sm"] == "8px"
+
+
+def test_validate_tokens(theme_tools):
+    """Test token validation"""
+    from mcp_server.theme_store import REQUIRED_TOKEN_CATEGORIES
+
+    tokens = {
+        "colors": {"primary": "#000"},
+        "spacing": {"md": "16px"},
+        "typography": {"fontFamily": "Inter"},
+        "radii": {"md": "8px"}
+    }
+
+    result = theme_tools._validate_tokens(tokens)
+
+    assert "complete" in result
+    # Check for either "missing" or "missing_required" key
+    assert "missing" in result or "missing_required" in result or "missing_optional" in result
+
+
+def test_validate_tokens_incomplete(theme_tools):
+    """Test validation of incomplete tokens"""
+    tokens = {
+        "colors": {"primary": "#000"}
+        # Missing spacing, typography, radii
+    }
+
+    result = theme_tools._validate_tokens(tokens)
+
+    # Should flag missing categories
+    assert result["complete"] is False or len(result.get("missing", [])) > 0

plugins/data-platform/.claude-plugin/plugin.json

@@ -0,0 +1,23 @@
+{
+  "name": "data-platform",
+  "version": "1.0.0",
+  "description": "Data engineering tools with pandas, PostgreSQL/PostGIS, and dbt integration",
+  "author": {
+    "name": "Leo Miranda",
+    "email": "leobmiranda@gmail.com"
+  },
+  "homepage": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace/src/branch/main/plugins/data-platform/README.md",
+  "repository": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace.git",
+  "license": "MIT",
+  "keywords": [
+    "pandas",
+    "postgresql",
+    "postgis",
+    "dbt",
+    "data-engineering",
+    "etl",
+    "dataframe"
+  ],
+  "commands": ["./commands/"],
+  "mcpServers": ["./.mcp.json"]
+}

plugins/data-platform/.mcp.json

@@ -0,0 +1,10 @@
+{
+  "mcpServers": {
+    "data-platform": {
+      "type": "stdio",
+      "command": "${CLAUDE_PLUGIN_ROOT}/mcp-servers/data-platform/.venv/bin/python",
+      "args": ["-m", "mcp_server.server"],
+      "cwd": "${CLAUDE_PLUGIN_ROOT}/mcp-servers/data-platform"
+    }
+  }
+}

plugins/data-platform/README.md

@@ -0,0 +1,119 @@
+# data-platform Plugin
+
+Data engineering tools with pandas, PostgreSQL/PostGIS, and dbt integration for Claude Code.
+
+## Features
+
+- **pandas Operations**: Load, transform, and export DataFrames with persistent data_ref system
+- **PostgreSQL/PostGIS**: Database queries with connection pooling and spatial data support
+- **dbt Integration**: Build tool wrapper with pre-execution validation
+
+## Installation
+
+This plugin is part of the leo-claude-mktplace. Install via:
+
+```bash
+# From marketplace
+claude plugins install leo-claude-mktplace/data-platform
+
+# Setup MCP server venv
+cd ~/.claude/plugins/marketplaces/leo-claude-mktplace/mcp-servers/data-platform
+python -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+```
+
+## Configuration
+
+### PostgreSQL (Optional)
+
+Create `~/.config/claude/postgres.env`:
+
+```env
+POSTGRES_URL=postgresql://user:password@host:5432/database
+```
+
+### dbt (Optional)
+
+Add to project `.env`:
+
+```env
+DBT_PROJECT_DIR=/path/to/dbt/project
+DBT_PROFILES_DIR=~/.dbt
+```
+
+## Commands
+
+| Command | Description |
+|---------|-------------|
+| `/initial-setup` | Interactive setup wizard for PostgreSQL and dbt configuration |
+| `/ingest` | Load data from files or database |
+| `/profile` | Generate data profile and statistics |
+| `/schema` | Show database/DataFrame schema |
+| `/explain` | Explain dbt model lineage |
+| `/lineage` | Visualize data dependencies |
+| `/run` | Execute dbt models |
+
+## Agents
+
+| Agent | Description |
+|-------|-------------|
+| `data-ingestion` | Data loading and transformation specialist |
+| `data-analysis` | Exploration and profiling specialist |
+
+## data_ref System
+
+All DataFrame operations use a `data_ref` system for persistence:
+
+```
+# Load returns a reference
+read_csv("data.csv") → {"data_ref": "sales_data"}
+
+# Use reference in subsequent operations
+filter("sales_data", "amount > 100") → {"data_ref": "sales_data_filtered"}
+describe("sales_data_filtered") → {statistics}
+```
+
+## Example Workflow
+
+```
+/ingest data/sales.csv
+# → Loaded 50,000 rows as "sales_data"
+
+/profile sales_data
+# → Statistical summary, null counts, quality assessment
+
+/schema orders
+# → Column names, types, constraints
+
+/lineage fct_orders
+# → Dependency graph showing upstream/downstream models
+
+/run dim_customers
+# → Pre-validates then executes dbt model
+```
+
+## Tools Summary
+
+### pandas (14 tools)
+`read_csv`, `read_parquet`, `read_json`, `to_csv`, `to_parquet`, `describe`, `head`, `tail`, `filter`, `select`, `groupby`, `join`, `list_data`, `drop_data`
+
+### PostgreSQL (6 tools)
+`pg_connect`, `pg_query`, `pg_execute`, `pg_tables`, `pg_columns`, `pg_schemas`
+
+### PostGIS (4 tools)
+`st_tables`, `st_geometry_type`, `st_srid`, `st_extent`
+
+### dbt (8 tools)
+`dbt_parse`, `dbt_run`, `dbt_test`, `dbt_build`, `dbt_compile`, `dbt_ls`, `dbt_docs_generate`, `dbt_lineage`
+
+## Memory Management
+
+- Default limit: 100,000 rows per DataFrame
+- Configure via `DATA_PLATFORM_MAX_ROWS` environment variable
+- Use `chunk_size` parameter for large files
+- Monitor with `list_data` tool
+
+## SessionStart Hook
+
+On session start, the plugin checks PostgreSQL connectivity and displays a warning if unavailable. This is non-blocking - pandas and dbt tools remain available.

plugins/data-platform/agents/data-analysis.md

@@ -0,0 +1,98 @@
+# Data Analysis Agent
+
+You are a data analysis specialist. Your role is to help users explore, profile, and understand their data.
+
+## Capabilities
+
+- Profile datasets with statistical summaries
+- Explore database schemas and structures
+- Analyze dbt model lineage and dependencies
+- Provide data quality assessments
+- Generate insights and recommendations
+
+## Available Tools
+
+### Data Exploration
+- `describe` - Statistical summary
+- `head` - Preview first rows
+- `tail` - Preview last rows
+- `list_data` - List available DataFrames
+
+### Database Exploration
+- `pg_connect` - Check database connection
+- `pg_tables` - List all tables
+- `pg_columns` - Get column details
+- `pg_schemas` - List schemas
+
+### PostGIS Exploration
+- `st_tables` - List spatial tables
+- `st_geometry_type` - Get geometry type
+- `st_srid` - Get coordinate system
+- `st_extent` - Get bounding box
+
+### dbt Analysis
+- `dbt_lineage` - Model dependencies
+- `dbt_ls` - List resources
+- `dbt_compile` - View compiled SQL
+- `dbt_docs_generate` - Generate docs
+
+## Workflow Guidelines
+
+1. **Understand the question**:
+   - What does the user want to know?
+   - What data is available?
+   - What level of detail is needed?
+
+2. **Explore the data**:
+   - Start with `list_data` or `pg_tables`
+   - Get schema info with `describe` or `pg_columns`
+   - Preview with `head` to understand content
+
+3. **Profile thoroughly**:
+   - Use `describe` for statistics
+   - Check for nulls, outliers, patterns
+   - Note data quality issues
+
+4. **Analyze dependencies** (for dbt):
+   - Use `dbt_lineage` to trace data flow
+   - Understand transformations
+   - Identify critical paths
+
+5. **Provide insights**:
+   - Summarize findings clearly
+   - Highlight potential issues
+   - Recommend next steps
+
+## Analysis Patterns
+
+### Data Quality Check
+1. `describe` - Get statistics
+2. Check null percentages
+3. Identify outliers (min/max vs mean)
+4. Flag suspicious patterns
+
+### Schema Comparison
+1. `pg_columns` - Get table A schema
+2. `pg_columns` - Get table B schema
+3. Compare column names, types
+4. Identify mismatches
+
+### Lineage Analysis
+1. `dbt_lineage` - Get model graph
+2. Trace upstream sources
+3. Identify downstream impact
+4. Document critical path
+
+## Example Interactions
+
+**User**: What's in the sales_data DataFrame?
+**Agent**: Uses `describe`, `head`, explains columns, statistics, patterns
+
+**User**: What tables are in the database?
+**Agent**: Uses `pg_tables`, shows list with column counts
+
+**User**: How does the dim_customers model work?
+**Agent**: Uses `dbt_lineage`, `dbt_compile`, explains dependencies and SQL
+
+**User**: Is there any spatial data?
+**Agent**: Uses `st_tables`, shows PostGIS tables with geometry types

plugins/data-platform/agents/data-ingestion.md

@@ -0,0 +1,81 @@
+# Data Ingestion Agent
+
+You are a data ingestion specialist. Your role is to help users load, transform, and prepare data for analysis.
+
+## Capabilities
+
+- Load data from CSV, Parquet, JSON files
+- Query PostgreSQL databases
+- Transform data using filter, select, groupby, join operations
+- Export data to various formats
+- Handle large datasets with chunking
+
+## Available Tools
+
+### File Operations
+- `read_csv` - Load CSV files with optional chunking
+- `read_parquet` - Load Parquet files
+- `read_json` - Load JSON/JSONL files
+- `to_csv` - Export to CSV
+- `to_parquet` - Export to Parquet
+
+### Data Transformation
+- `filter` - Filter rows by condition
+- `select` - Select specific columns
+- `groupby` - Group and aggregate
+- `join` - Join two DataFrames
+
+### Database Operations
+- `pg_query` - Execute SELECT queries
+- `pg_execute` - Execute INSERT/UPDATE/DELETE
+- `pg_tables` - List available tables
+
+### Management
+- `list_data` - List all stored DataFrames
+- `drop_data` - Remove DataFrame from store
+
+## Workflow Guidelines
+
+1. **Understand the data source**:
+   - Ask about file location/format
+   - For database, understand table structure
+   - Clarify any filters or transformations needed
+
+2. **Load data efficiently**:
+   - Use appropriate reader for file format
+   - For large files (>100k rows), use chunking
+   - Name DataFrames meaningfully
+
+3. **Transform as needed**:
+   - Apply filters early to reduce data size
+   - Select only needed columns
+   - Join related datasets
+
+4. **Validate results**:
+   - Check row counts after transformations
+   - Verify data types are correct
+   - Preview results with `head`
+
+5. **Store with meaningful names**:
+   - Use descriptive data_ref names
+   - Document the source and transformations
+
+## Memory Management
+
+- Default row limit: 100,000 rows
+- For larger datasets, suggest:
+  - Filtering before loading
+  - Using chunk_size parameter
+  - Aggregating to reduce size
+  - Storing to Parquet for efficient retrieval
+
+## Example Interactions
+
+**User**: Load the sales data from data/sales.csv
+**Agent**: Uses `read_csv` to load, reports data_ref, row count, columns
+
+**User**: Filter to only Q4 2024 sales
+**Agent**: Uses `filter` with date condition, stores filtered result
+
+**User**: Join with customer data
+**Agent**: Uses `join` to combine, validates result counts

plugins/data-platform/claude-md-integration.md

@@ -0,0 +1,90 @@
+# data-platform Plugin - CLAUDE.md Integration
+
+Add this section to your project's CLAUDE.md to enable data-platform plugin features.
+
+## Suggested CLAUDE.md Section
+
+```markdown
+## Data Platform Integration
+
+This project uses the data-platform plugin for data engineering workflows.
+
+### Configuration
+
+**PostgreSQL**: Credentials in `~/.config/claude/postgres.env`
+**dbt**: Project path auto-detected from `dbt_project.yml`
+
+### Available Commands
+
+| Command | Purpose |
+|---------|---------|
+| `/ingest` | Load data from files or database |
+| `/profile` | Generate statistical profile |
+| `/schema` | Show schema information |
+| `/explain` | Explain dbt model |
+| `/lineage` | Show data lineage |
+| `/run` | Execute dbt models |
+
+### data_ref Convention
+
+DataFrames are stored with references. Use meaningful names:
+- `raw_*` for source data
+- `stg_*` for staged/cleaned data
+- `dim_*` for dimension tables
+- `fct_*` for fact tables
+- `rpt_*` for reports
+
+### dbt Workflow
+
+1. Always validate before running: `/run` includes automatic `dbt_parse`
+2. For dbt 1.9+, check for deprecated syntax before commits
+3. Use `/lineage` to understand impact of changes
+
+### Database Access
+
+PostgreSQL tools require POSTGRES_URL configuration:
+- Read-only queries: `pg_query`
+- Write operations: `pg_execute`
+- Schema exploration: `pg_tables`, `pg_columns`
+
+PostGIS spatial data:
+- List spatial tables: `st_tables`
+- Check geometry: `st_geometry_type`, `st_srid`, `st_extent`
+```
+
+## Environment Variables
+
+Add to project `.env` if needed:
+
+```env
+# dbt configuration
+DBT_PROJECT_DIR=./transform
+DBT_PROFILES_DIR=~/.dbt
+
+# Memory limits
+DATA_PLATFORM_MAX_ROWS=100000
+```
+
+## Typical Workflows
+
+### Data Exploration
+```
+/ingest data/raw_customers.csv
+/profile raw_customers
+/schema
+```
+
+### ETL Development
+```
+/schema orders              # Understand source
+/explain stg_orders         # Understand transformation
+/run stg_orders             # Test the model
+/lineage fct_orders         # Check downstream impact
+```
+
+### Database Analysis
+```
+/schema                     # List all tables
+pg_columns orders           # Detailed schema
+st_tables                   # Find spatial data
+```

plugins/data-platform/commands/explain.md

@@ -0,0 +1,44 @@
+# /explain - dbt Model Explanation
+
+Explain a dbt model's purpose, dependencies, and SQL logic.
+
+## Usage
+
+```
+/explain <model_name>
+```
+
+## Workflow
+
+1. **Get model info**:
+   - Use `dbt_lineage` to get model metadata
+   - Extract description, tags, materialization
+
+2. **Analyze dependencies**:
+   - Show upstream models (what this depends on)
+   - Show downstream models (what depends on this)
+   - Visualize as dependency tree
+
+3. **Compile SQL**:
+   - Use `dbt_compile` to get rendered SQL
+   - Explain key transformations
+
+4. **Report**:
+   - Model purpose (from description)
+   - Materialization strategy
+   - Dependency graph
+   - Key SQL logic explained
+
+## Examples
+
+```
+/explain dim_customers
+/explain fct_orders
+```
+
+## Available Tools
+
+Use these MCP tools:
+- `dbt_lineage` - Get model dependencies
+- `dbt_compile` - Get compiled SQL
+- `dbt_ls` - List related resources

plugins/data-platform/commands/ingest.md

@@ -0,0 +1,44 @@
+# /ingest - Data Ingestion
+
+Load data from files or database into the data platform.
+
+## Usage
+
+```
+/ingest [source]
+```
+
+## Workflow
+
+1. **Identify data source**:
+   - If source is a file path, determine format (CSV, Parquet, JSON)
+   - If source is "db" or a table name, query PostgreSQL
+
+2. **Load data**:
+   - For files: Use `read_csv`, `read_parquet`, or `read_json`
+   - For database: Use `pg_query` with appropriate SELECT
+
+3. **Validate**:
+   - Check row count against limits
+   - If exceeds 100k rows, suggest chunking or filtering
+
+4. **Report**:
+   - Show data_ref, row count, columns, and memory usage
+   - Preview first few rows
+
+## Examples
+
+```
+/ingest data/sales.csv
+/ingest data/customers.parquet
+/ingest "SELECT * FROM orders WHERE created_at > '2024-01-01'"
+```
+
+## Available Tools
+
+Use these MCP tools:
+- `read_csv` - Load CSV files
+- `read_parquet` - Load Parquet files
+- `read_json` - Load JSON/JSONL files
+- `pg_query` - Query PostgreSQL database
+- `list_data` - List loaded DataFrames

plugins/data-platform/commands/initial-setup.md

@@ -0,0 +1,231 @@
+---
+description: Interactive setup wizard for data-platform plugin - configures MCP server and optional PostgreSQL/dbt
+---
+
+# Data Platform Setup Wizard
+
+This command sets up the data-platform plugin with pandas, PostgreSQL, and dbt integration.
+
+## Important Context
+
+- **This command uses Bash, Read, Write, and AskUserQuestion tools** - NOT MCP tools
+- **MCP tools won't work until after setup + session restart**
+- **PostgreSQL and dbt are optional** - pandas tools work without them
+
+---
+
+## Phase 1: Environment Validation
+
+### Step 1.1: Check Python Version
+
+```bash
+python3 --version
+```
+
+Requires Python 3.10+. If below, stop setup and inform user.
+
+### Step 1.2: Check for Required Libraries
+
+```bash
+python3 -c "import sys; print(f'Python {sys.version_info.major}.{sys.version_info.minor}')"
+```
+
+---
+
+## Phase 2: MCP Server Setup
+
+### Step 2.1: Locate Data Platform MCP Server
+
+The MCP server should be at the marketplace root:
+
+```bash
+# If running from installed marketplace
+ls -la ~/.claude/plugins/marketplaces/leo-claude-mktplace/mcp-servers/data-platform/ 2>/dev/null || echo "NOT_FOUND_INSTALLED"
+
+# If running from source
+ls -la ~/claude-plugins-work/mcp-servers/data-platform/ 2>/dev/null || echo "NOT_FOUND_SOURCE"
+```
+
+Determine the correct path based on which exists.
+
+### Step 2.2: Check Virtual Environment
+
+```bash
+ls -la /path/to/mcp-servers/data-platform/.venv/bin/python 2>/dev/null && echo "VENV_EXISTS" || echo "VENV_MISSING"
+```
+
+### Step 2.3: Create Virtual Environment (if missing)
+
+```bash
+cd /path/to/mcp-servers/data-platform && python3 -m venv .venv && source .venv/bin/activate && pip install --upgrade pip && pip install -r requirements.txt && deactivate
+```
+
+**Note:** This may take a few minutes due to pandas, pyarrow, and dbt dependencies.
+
+---
+
+## Phase 3: PostgreSQL Configuration (Optional)
+
+### Step 3.1: Ask About PostgreSQL
+
+Use AskUserQuestion:
+- Question: "Do you want to configure PostgreSQL database access?"
+- Header: "PostgreSQL"
+- Options:
+  - "Yes, I have a PostgreSQL database"
+  - "No, I'll only use pandas/dbt tools"
+
+**If user chooses "No":** Skip to Phase 4.
+
+### Step 3.2: Create Config Directory
+
+```bash
+mkdir -p ~/.config/claude
+```
+
+### Step 3.3: Check PostgreSQL Configuration
+
+```bash
+cat ~/.config/claude/postgres.env 2>/dev/null || echo "FILE_NOT_FOUND"
+```
+
+**If file exists with valid URL:** Skip to Step 3.6.
+**If missing or has placeholders:** Continue.
+
+### Step 3.4: Gather PostgreSQL Information
+
+Use AskUserQuestion:
+- Question: "What is your PostgreSQL connection URL format?"
+- Header: "DB Format"
+- Options:
+  - "Standard: postgresql://user:pass@host:5432/db"
+  - "PostGIS: postgresql://user:pass@host:5432/db (with PostGIS extension)"
+  - "Other (I'll provide the full URL)"
+
+Ask user to provide the connection URL.
+
+### Step 3.5: Create Configuration File
+
+```bash
+cat > ~/.config/claude/postgres.env << 'EOF'
+# PostgreSQL Configuration
+# Generated by data-platform /initial-setup
+
+POSTGRES_URL=<USER_PROVIDED_URL>
+EOF
+chmod 600 ~/.config/claude/postgres.env
+```
+
+### Step 3.6: Test PostgreSQL Connection (if configured)
+
+```bash
+source ~/.config/claude/postgres.env && python3 -c "
+import asyncio
+import asyncpg
+async def test():
+    try:
+        conn = await asyncpg.connect('$POSTGRES_URL', timeout=5)
+        ver = await conn.fetchval('SELECT version()')
+        await conn.close()
+        print(f'SUCCESS: {ver.split(\",\")[0]}')
+    except Exception as e:
+        print(f'FAILED: {e}')
+asyncio.run(test())
+"
+```
+
+Report result:
+- SUCCESS: Connection works
+- FAILED: Show error and suggest fixes
+
+---
+
+## Phase 4: dbt Configuration (Optional)
+
+### Step 4.1: Ask About dbt
+
+Use AskUserQuestion:
+- Question: "Do you use dbt for data transformations in your projects?"
+- Header: "dbt"
+- Options:
+  - "Yes, I have dbt projects"
+  - "No, I don't use dbt"
+
+**If user chooses "No":** Skip to Phase 5.
+
+### Step 4.2: dbt Discovery
+
+dbt configuration is **project-level** (not system-level). The plugin auto-detects dbt projects by looking for `dbt_project.yml`.
+
+Inform user:
+```
+dbt projects are detected automatically when you work in a directory
+containing dbt_project.yml.
+
+If your dbt project is in a subdirectory, you can set DBT_PROJECT_DIR
+in your project's .env file:
+
+  DBT_PROJECT_DIR=./transform
+  DBT_PROFILES_DIR=~/.dbt
+```
+
+### Step 4.3: Check dbt Installation
+
+```bash
+dbt --version 2>/dev/null || echo "DBT_NOT_FOUND"
+```
+
+**If not found:** Inform user that dbt CLI tools require dbt-core to be installed globally or in the project.
+
+---
+
+## Phase 5: Validation
+
+### Step 5.1: Verify MCP Server
+
+```bash
+cd /path/to/mcp-servers/data-platform && .venv/bin/python -c "from mcp_server.server import DataPlatformMCPServer; print('MCP Server OK')"
+```
+
+### Step 5.2: Summary
+
+```
+╔════════════════════════════════════════════════════════════╗
+║            DATA-PLATFORM SETUP COMPLETE                    ║
+╠════════════════════════════════════════════════════════════╣
+║ MCP Server:        ✓ Ready                                 ║
+║ pandas Tools:      ✓ Available (14 tools)                  ║
+║ PostgreSQL Tools:  [✓/✗] [Status based on config]          ║
+║ PostGIS Tools:     [✓/✗] [Status based on PostGIS]         ║
+║ dbt Tools:         [✓/✗] [Status based on discovery]       ║
+╚════════════════════════════════════════════════════════════╝
+```
+
+### Step 5.3: Session Restart Notice
+
+---
+
+**⚠️ Session Restart Required**
+
+Restart your Claude Code session for MCP tools to become available.
+
+**After restart, you can:**
+- Run `/ingest` to load data from files or database
+- Run `/profile` to analyze DataFrame statistics
+- Run `/schema` to explore database/DataFrame schema
+- Run `/run` to execute dbt models (if configured)
+- Run `/lineage` to view dbt model dependencies
+
+---
+
+## Memory Limits
+
+The data-platform plugin has a default row limit of 100,000 rows per DataFrame. For larger datasets:
+- Use chunked processing (`chunk_size` parameter)
+- Filter data before loading
+- Store to Parquet for efficient re-loading
+
+You can override the limit by setting in your project `.env`:
+```
+DATA_PLATFORM_MAX_ROWS=500000
+```

plugins/data-platform/commands/lineage.md

@@ -0,0 +1,60 @@
+# /lineage - Data Lineage Visualization
+
+Show data lineage for dbt models or database tables.
+
+## Usage
+
+```
+/lineage <model_name> [--depth N]
+```
+
+## Workflow
+
+1. **Get lineage data**:
+   - Use `dbt_lineage` for dbt models
+   - For database tables, trace through dbt manifest
+
+2. **Build lineage graph**:
+   - Identify all upstream sources
+   - Identify all downstream consumers
+   - Note materialization at each node
+
+3. **Visualize**:
+   - ASCII art dependency tree
+   - List format with indentation
+   - Show depth levels
+
+4. **Report**:
+   - Full dependency chain
+   - Critical path identification
+   - Refresh implications
+
+## Examples
+
+```
+/lineage dim_customers
+/lineage fct_orders --depth 3
+```
+
+## Output Format
+
+```
+Sources:
+  └── raw_customers (source)
+  └── raw_orders (source)
+
+dim_customers (table)
+  ├── upstream:
+  │   └── stg_customers (view)
+  │       └── raw_customers (source)
+  └── downstream:
+      └── fct_orders (incremental)
+      └── rpt_customer_lifetime (table)
+```
+
+## Available Tools
+
+Use these MCP tools:
+- `dbt_lineage` - Get model dependencies
+- `dbt_ls` - List dbt resources
+- `dbt_docs_generate` - Generate full manifest

plugins/data-platform/commands/profile.md

@@ -0,0 +1,44 @@
+# /profile - Data Profiling
+
+Generate statistical profile and quality report for a DataFrame.
+
+## Usage
+
+```
+/profile <data_ref>
+```
+
+## Workflow
+
+1. **Get data reference**:
+   - If no data_ref provided, use `list_data` to show available options
+   - Validate the data_ref exists
+
+2. **Generate profile**:
+   - Use `describe` for statistical summary
+   - Analyze null counts, unique values, data types
+
+3. **Quality assessment**:
+   - Identify columns with high null percentage
+   - Flag potential data quality issues
+   - Suggest cleaning operations if needed
+
+4. **Report**:
+   - Summary statistics per column
+   - Data type distribution
+   - Memory usage
+   - Quality score
+
+## Examples
+
+```
+/profile sales_data
+/profile df_a1b2c3d4
+```
+
+## Available Tools
+
+Use these MCP tools:
+- `describe` - Get statistical summary
+- `head` - Preview first rows
+- `list_data` - List available DataFrames

plugins/data-platform/commands/run.md

@@ -0,0 +1,55 @@
+# /run - Execute dbt Models
+
+Run dbt models with automatic pre-validation.
+
+## Usage
+
+```
+/run [model_selection] [--full-refresh]
+```
+
+## Workflow
+
+1. **Pre-validation** (MANDATORY):
+   - Use `dbt_parse` to validate project
+   - Check for deprecated syntax (dbt 1.9+)
+   - If validation fails, show errors and STOP
+
+2. **Execute models**:
+   - Use `dbt_run` with provided selection
+   - Monitor progress and capture output
+
+3. **Report results**:
+   - Success/failure status per model
+   - Execution time
+   - Row counts where available
+   - Any warnings or errors
+
+## Examples
+
+```
+/run                           # Run all models
+/run dim_customers             # Run specific model
+/run +fct_orders               # Run model and its upstream
+/run tag:daily                 # Run models with tag
+/run --full-refresh            # Rebuild incremental models
+```
+
+## Selection Syntax
+
+| Pattern | Meaning |
+|---------|---------|
+| `model_name` | Run single model |
+| `+model_name` | Run model and upstream |
+| `model_name+` | Run model and downstream |
+| `+model_name+` | Run model with all deps |
+| `tag:name` | Run by tag |
+| `path:models/staging` | Run by path |
+
+## Available Tools
+
+Use these MCP tools:
+- `dbt_parse` - Pre-validation (ALWAYS RUN FIRST)
+- `dbt_run` - Execute models
+- `dbt_build` - Run + test
+- `dbt_test` - Run tests only

plugins/data-platform/commands/schema.md

@@ -0,0 +1,48 @@
+# /schema - Schema Exploration
+
+Display schema information for database tables or DataFrames.
+
+## Usage
+
+```
+/schema [table_name | data_ref]
+```
+
+## Workflow
+
+1. **Determine target**:
+   - If argument is a loaded data_ref, show DataFrame schema
+   - If argument is a table name, query database schema
+   - If no argument, list all available tables and DataFrames
+
+2. **For DataFrames**:
+   - Use `describe` to get column info
+   - Show dtypes, null counts, sample values
+
+3. **For database tables**:
+   - Use `pg_columns` for column details
+   - Use `st_tables` to check for PostGIS columns
+   - Show constraints and indexes if available
+
+4. **Report**:
+   - Column name, type, nullable, default
+   - For PostGIS: geometry type, SRID
+   - For DataFrames: pandas dtype, null percentage
+
+## Examples
+
+```
+/schema                    # List all tables and DataFrames
+/schema customers          # Show table schema
+/schema sales_data         # Show DataFrame schema
+```
+
+## Available Tools
+
+Use these MCP tools:
+- `pg_tables` - List database tables
+- `pg_columns` - Get column info
+- `pg_schemas` - List schemas
+- `st_tables` - List PostGIS tables
+- `describe` - Get DataFrame info
+- `list_data` - List DataFrames

plugins/data-platform/hooks/hooks.json

@@ -0,0 +1,10 @@
+{
+  "hooks": {
+    "SessionStart": [
+      {
+        "type": "command",
+        "command": "${CLAUDE_PLUGIN_ROOT}/hooks/startup-check.sh"
+      }
+    ]
+  }
+}

plugins/data-platform/hooks/startup-check.sh

@@ -0,0 +1,54 @@
+#!/bin/bash
+# data-platform startup check hook
+# Checks for common issues at session start
+# All output MUST have [data-platform] prefix
+
+PREFIX="[data-platform]"
+
+# Check if MCP venv exists
+PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(dirname "$(dirname "$(realpath "$0")")")}"
+VENV_PATH="$PLUGIN_ROOT/mcp-servers/data-platform/.venv/bin/python"
+
+if [[ ! -f "$VENV_PATH" ]]; then
+    echo "$PREFIX MCP venv missing - run /initial-setup or setup.sh"
+    exit 0
+fi
+
+# Check PostgreSQL configuration (optional - just warn if configured but failing)
+POSTGRES_CONFIG="$HOME/.config/claude/postgres.env"
+if [[ -f "$POSTGRES_CONFIG" ]]; then
+    source "$POSTGRES_CONFIG"
+    if [[ -n "${POSTGRES_URL:-}" ]]; then
+        # Quick connection test (5 second timeout)
+        RESULT=$("$VENV_PATH" -c "
+import asyncio
+import sys
+async def test():
+    try:
+        import asyncpg
+        conn = await asyncpg.connect('$POSTGRES_URL', timeout=5)
+        await conn.close()
+        return 'OK'
+    except Exception as e:
+        return f'FAIL: {e}'
+print(asyncio.run(test()))
+" 2>/dev/null || echo "FAIL: asyncpg not installed")
+
+        if [[ "$RESULT" == "OK" ]]; then
+            # PostgreSQL OK - say nothing
+            :
+        elif [[ "$RESULT" == *"FAIL"* ]]; then
+            echo "$PREFIX PostgreSQL connection failed - check POSTGRES_URL"
+        fi
+    fi
+fi
+
+# Check dbt project (if in a project with dbt_project.yml)
+if [[ -f "dbt_project.yml" ]] || [[ -f "transform/dbt_project.yml" ]]; then
+    if ! command -v dbt &> /dev/null; then
+        echo "$PREFIX dbt CLI not found - dbt tools unavailable"
+    fi
+fi
+
+# All checks passed - say nothing
+exit 0

plugins/data-platform/mcp-servers/data-platform

@@ -0,0 +1 @@
+../../../mcp-servers/data-platform

plugins/doc-guardian/hooks/notify.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 # doc-guardian notification hook
-# Outputs a single notification for config file changes, nothing otherwise
+# Tracks documentation dependencies and queues updates
 # This is a command hook - guaranteed not to block workflow
 
 # Read tool input from stdin (JSON with file_path)
@@ -14,10 +14,45 @@ if [ -z "$FILE_PATH" ]; then
     exit 0
 fi
 
-# Check if file is in a config directory (commands/, agents/, skills/, hooks/)
+# Define documentation dependency mappings
-if echo "$FILE_PATH" | grep -qE '/(commands|agents|skills|hooks)/'; then
+# When these directories change, these docs need updating
-    echo "[doc-guardian] Config file modified. Run /doc-sync when ready."
+declare -A DOC_DEPS
+DOC_DEPS["commands"]="docs/COMMANDS-CHEATSHEET.md README.md"
+DOC_DEPS["agents"]="README.md CLAUDE.md"
+DOC_DEPS["hooks"]="docs/COMMANDS-CHEATSHEET.md README.md"
+DOC_DEPS["skills"]="README.md"
+DOC_DEPS[".claude-plugin"]="CLAUDE.md .claude-plugin/marketplace.json"
+DOC_DEPS["mcp-servers"]="docs/COMMANDS-CHEATSHEET.md CLAUDE.md"
+
+# Check which config directory was modified
+MODIFIED_TYPE=""
+for dir in commands agents hooks skills .claude-plugin mcp-servers; do
+    if echo "$FILE_PATH" | grep -qE "/${dir}/|^${dir}/"; then
+        MODIFIED_TYPE="$dir"
+        break
+    fi
+done
+
+# Exit silently if not a tracked config directory
+if [ -z "$MODIFIED_TYPE" ]; then
+    exit 0
 fi
 
-# Exit silently for all other files (no output = no blocking)
+# Get the dependent docs
+DEPENDENT_DOCS="${DOC_DEPS[$MODIFIED_TYPE]}"
+
+# Queue file for tracking pending updates
+QUEUE_FILE="${CLAUDE_PROJECT_ROOT:-.}/.doc-guardian-queue"
+
+# Add to queue (create if doesn't exist, append if does)
+{
+    echo "$(date +%Y-%m-%dT%H:%M:%S) | $MODIFIED_TYPE | $FILE_PATH | $DEPENDENT_DOCS"
+} >> "$QUEUE_FILE" 2>/dev/null || true
+
+# Count pending updates
+PENDING_COUNT=$(wc -l < "$QUEUE_FILE" 2>/dev/null | tr -d ' ' || echo "1")
+
+# Output notification with specific docs that need updating
+echo "[doc-guardian] $MODIFIED_TYPE changed → update needed: $DEPENDENT_DOCS (${PENDING_COUNT} pending)"
+
 exit 0

plugins/projman/README.md

@@ -114,6 +114,17 @@ Check current sprint progress.
 
 **When to use:** Daily standup, progress check, deciding what to work on next
 
+### `/proposal-status`
+View proposal and implementation hierarchy.
+
+**What it does:**
+- Lists all change proposals from Gitea Wiki
+- Shows implementations under each proposal with status
+- Displays linked issues and lessons learned
+- Tree-style formatted output
+
+**When to use:** Review progress on multi-sprint features, track proposal lifecycle
+
 ### `/sprint-close`
 Complete sprint and capture lessons learned.
 
@@ -468,6 +479,7 @@ projman/
 │   ├── sprint-start.md
 │   ├── sprint-status.md
 │   ├── sprint-close.md
+│   ├── proposal-status.md
 │   ├── labels-sync.md
 │   ├── initial-setup.md
 │   ├── project-init.md

plugins/projman/agents/orchestrator.md

@@ -357,6 +357,11 @@ Let's capture lessons learned. I'll ask some questions:
 ```markdown
 # Sprint {N} - {Clear Title}
 
+## Metadata
+- **Implementation:** [Change VXX.X.X (Impl N)](wiki-link)
+- **Issues:** #XX, #XX
+- **Sprint:** Sprint N
+
 ## Context
 Brief background - what were you doing?
 
@@ -373,17 +378,131 @@ How can future sprints avoid this or optimize it?
 technology, component, issue-type, pattern
 ```
 
+**IMPORTANT:** Always include the Metadata section with implementation link for traceability.
+
 **D. Save to Gitea Wiki**
+
+Include the implementation reference in lesson content:
 ```
 create_lesson(
     title="Sprint 18 - Claude Code Infinite Loop on Validation Errors",
-    content="[Full lesson content]",
+    content="""
+# Sprint 18 - Claude Code Infinite Loop on Validation Errors
+
+## Metadata
+- **Implementation:** [Change V1.2.0 (Impl 1)](wiki-link)
+- **Issues:** #45, #46
+- **Sprint:** Sprint 18
+
+## Context
+[Lesson context...]
+
+## Problem
+[What went wrong...]
+
+## Solution
+[How it was solved...]
+
+## Prevention
+[How to avoid in future...]
+
+## Tags
+testing, claude-code, validation, python
+""",
     tags=["testing", "claude-code", "validation", "python"],
     category="sprints"
 )
 ```
 
-**E. Git Operations**
+**E. Update Wiki Implementation Page**
+
+Fetch and update the implementation page status:
+```
+get_wiki_page(page_name="Change-V4.1.0:-Proposal-(Implementation-1)")
+```
+
+Update with completion status:
+```
+update_wiki_page(
+    page_name="Change-V4.1.0:-Proposal-(Implementation-1)",
+    content="""
+> **Type:** Change Proposal Implementation
+> **Version:** V04.1.0
+> **Status:** Implemented ✅
+> **Date:** 2026-01-26
+> **Completed:** 2026-01-28
+> **Origin:** [Proposal](wiki-link)
+> **Sprint:** Sprint 17
+
+# Implementation Details
+[Original content...]
+
+## Completion Summary
+- All planned issues completed
+- Lessons learned: [Link to lesson]
+"""
+)
+```
+
+**F. Update Wiki Proposal Page**
+
+If all implementations complete, update proposal status:
+```
+update_wiki_page(
+    page_name="Change-V4.1.0:-Proposal",
+    content="""
+> **Type:** Change Proposal
+> **Version:** V04.1.0
+> **Status:** Implemented ✅
+> **Date:** 2026-01-26
+
+# Feature Title
+[Original content...]
+
+## Implementations
+- [Implementation 1](link) - ✅ Completed (Sprint 17)
+"""
+)
+```
+
+**G. Update CHANGELOG (MANDATORY)**
+
+Add all sprint changes to `[Unreleased]` section:
+```markdown
+## [Unreleased]
+
+### Added
+- **projman:** New feature description
+- **plugin-name:** Another feature
+
+### Changed
+- **projman:** Modified behavior
+
+### Fixed
+- **plugin-name:** Bug fix description
+```
+
+**IMPORTANT:** Never skip this step. Every sprint must update CHANGELOG.
+
+**H. Version Check**
+
+Run `/suggest-version` to analyze CHANGELOG and recommend version bump:
+```
+/suggest-version
+```
+
+If release is warranted:
+```bash
+./scripts/release.sh X.Y.Z
+```
+
+This ensures version numbers stay in sync:
+- README.md title
+- .claude-plugin/marketplace.json
+- Git tags
+- CHANGELOG.md section header
+
+**I. Git Operations**
 
 Offer to handle git cleanup:
 ```
@@ -418,7 +537,9 @@ Would you like me to handle git operations?
 **Lessons Learned Tools (Gitea Wiki):**
 - `search_lessons(query, tags, limit)` - Find relevant past lessons
 - `create_lesson(title, content, tags, category)` - Save new lesson
-- `get_wiki_page(page_name)` - Fetch specific pages
+- `get_wiki_page(page_name)` - Fetch implementation/proposal pages
+- `update_wiki_page(page_name, content)` - Update implementation/proposal status
+- `list_wiki_pages()` - List all wiki pages
 
 **Validation Tools:**
 - `get_branch_protection(branch)` - Check merge rules
@@ -455,6 +576,10 @@ Would you like me to handle git operations?
 8. **Auto-check subtasks** - Mark issue subtasks complete on close
 9. **Track meticulously** - Update issues immediately, document blockers
 10. **Capture lessons** - At sprint close, interview thoroughly
+11. **Update wiki status** - At sprint close, update implementation and proposal pages
+12. **Link lessons to wiki** - Include lesson links in implementation completion summary
+13. **Update CHANGELOG** - MANDATORY at sprint close, never skip
+14. **Run suggest-version** - Check if release is needed after CHANGELOG update
 
 ## Your Mission
 

plugins/projman/agents/planner.md

@@ -122,23 +122,34 @@ get_labels(repo="owner/repo")
 - Use `create_label` to create them
 - Report which labels were created
 
-### 4. docs/changes/ Folder Check
+### 4. Input Source Detection
 
-Verify the project has a `docs/changes/` folder for sprint input files.
+Detect where the planning input is coming from:
 
-**If folder exists:**
+| Source | Detection | Action |
-- Check for relevant change files for current sprint
+|--------|-----------|--------|
-- Reference these files during planning
+| **Local file** | `docs/changes/*.md` exists | Parse frontmatter, migrate to wiki, delete local |
+| **Existing wiki** | `Change VXX.X.X: Proposal` exists | Use as-is, create new implementation page |
+| **Conversation** | Neither file nor wiki exists | Create wiki from discussion context |
 
-**If folder does NOT exist:**
+**Input File Format** (if using local file):
-- Prompt user: "Your project doesn't have a `docs/changes/` folder. This folder stores sprint planning inputs and decisions. Would you like me to create it?"
+```yaml
-- If user agrees, create the folder structure
+---
+version: "4.1.0"        # or "sprint-17" for internal work
+title: "Feature Name"
+plugin: plugin-name     # optional
+type: feature           # feature | bugfix | refactor | infra
+---
 
-**If sprint starts with discussion but no input file:**
+# Feature Description
-- Capture the discussion outputs
+[Free-form content...]
-- Create a change file: `docs/changes/sprint-XX-description.md`
+```
-- Structure the file to meet Claude Code standards (concise, focused, actionable)
+
-- Then proceed with sprint planning using that file
+**Detection Steps:**
+1. Check for `docs/changes/*.md` files with valid frontmatter
+2. Use `list_wiki_pages()` to check for existing proposal
+3. If neither found, use conversation context
+4. If ambiguous (multiple sources), ask user which to use
 
 ## Your Responsibilities
 
@@ -161,7 +172,30 @@ Great! Let me ask a few questions to understand the scope:
 5. Should this integrate with existing systems?
 ```
 
-### 2. Search Relevant Lessons Learned
+### 2. Detect Input Source
+
+Before proceeding, identify where the planning input is:
+
+```
+# Check for local files
+ls docs/changes/*.md
+
+# Check for existing wiki proposal
+list_wiki_pages() → filter for "Change V" prefix
+```
+
+**Report to user:**
+```
+Input source detected:
+✓ Found: docs/changes/v4.1.0-wiki-planning.md
+  - Version: 4.1.0
+  - Title: Wiki-Based Planning Workflow
+  - Type: feature
+
+I'll use this as the planning input. Proceed? (y/n)
+```
+
+### 3. Search Relevant Lessons Learned
 
 **ALWAYS search for past lessons** before planning:
 
@@ -192,7 +226,59 @@ I searched previous sprint lessons and found these relevant insights:
 I'll keep these in mind while planning this sprint.
 ```
 
-### 3. Architecture Analysis
+### 4. Create Wiki Proposal and Implementation Pages
+
+After detecting input and searching lessons, create the wiki structure:
+
+**Create/Update Proposal Page:**
+```
+# If no proposal exists for this version:
+create_wiki_page(
+    title="Change V4.1.0: Proposal",
+    content="""
+> **Type:** Change Proposal
+> **Version:** V04.1.0
+> **Plugin:** projman
+> **Status:** In Progress
+> **Date:** 2026-01-26
+
+# Feature Title
+
+[Content migrated from input source]
+
+## Implementations
+- [Implementation 1](link) - Current sprint
+"""
+)
+```
+
+**Create Implementation Page:**
+```
+create_wiki_page(
+    title="Change V4.1.0: Proposal (Implementation 1)",
+    content="""
+> **Type:** Change Proposal Implementation
+> **Version:** V04.1.0
+> **Status:** In Progress
+> **Date:** 2026-01-26
+> **Origin:** [Proposal](wiki-link)
+> **Sprint:** Sprint 17
+
+# Implementation Details
+
+[Technical details, scope, approach]
+"""
+)
+```
+
+**Update Proposal with Implementation Link:**
+- Add link to new implementation in the Implementations section
+
+**Cleanup Local File:**
+- If input came from `docs/changes/*.md`, delete the file
+- Wiki is now the single source of truth
+
+### 5. Architecture Analysis
 
 Think through the technical approach:
 
@@ -204,7 +290,7 @@ Think through the technical approach:
 - What's the data flow?
 - What are potential risks?
 
-### 4. Create Gitea Issues with Proper Naming
+### 6. Create Gitea Issues with Wiki Reference
 
 **Issue Title Format (MANDATORY):**
 ```
@@ -233,17 +319,29 @@ Think through the technical approach:
 
 **If a task is too large, break it down into smaller tasks.**
 
-Use the `create_issue` and `suggest_labels` MCP tools:
+**IMPORTANT: Include wiki implementation reference in issue body:**
 
 ```
 create_issue(
     title="[Sprint 17] feat: Implement JWT token generation",
-    body="## Description\n\n...\n\n## Acceptance Criteria\n\n...",
+    body="""## Description
+
+[Description here]
+
+## Implementation
+
+**Wiki:** [Change V4.1.0 (Implementation 1)](https://gitea.example.com/org/repo/wiki/Change-V4.1.0%3A-Proposal-(Implementation-1))
+
+## Acceptance Criteria
+
+- [ ] Criteria 1
+- [ ] Criteria 2
+""",
     labels=["Type/Feature", "Priority/High", "Component/Auth", "Tech/Python"]
 )
 ```
 
-### 5. Set Up Dependencies
+### 7. Set Up Dependencies
 
 After creating issues, establish dependencies using native Gitea dependencies:
 
@@ -256,7 +354,7 @@ create_issue_dependency(
 
 This creates a relationship where issue #46 depends on #45 completing first.
 
-### 6. Create or Select Milestone
+### 8. Create or Select Milestone
 
 Use milestones to group sprint issues:
 
@@ -270,7 +368,7 @@ create_milestone(
 
 Then assign issues to the milestone when creating them.
 
-### 7. Generate Planning Document
+### 9. Generate Planning Document
 
 Summarize the sprint plan:
 
@@ -338,11 +436,13 @@ Sprint 17 - User Authentication (Due: 2025-02-01)
 - `create_issue_dependency(issue_number, depends_on)` - Create dependency
 - `get_execution_order(issue_numbers)` - Get parallel execution order
 
-**Lessons Learned Tools (Gitea Wiki):**
+**Lessons Learned & Wiki Tools:**
 - `search_lessons(query, tags, limit)` - Search lessons learned
 - `create_lesson(title, content, tags, category)` - Create lesson
 - `list_wiki_pages()` - List wiki pages
 - `get_wiki_page(page_name)` - Get wiki page content
+- `create_wiki_page(title, content)` - Create new wiki page (proposals, implementations)
+- `update_wiki_page(page_name, content)` - Update wiki page content
 
 ## Communication Style
 
@@ -370,11 +470,14 @@ Sprint 17 - User Authentication (Due: 2025-02-01)
 2. **Always check branch first** - No planning on production!
 3. **Always validate repo is under organization** - Fail fast if not
 4. **Always validate labels exist** - Create missing ones
-5. **Always check for docs/changes/ folder** - Create if missing
+5. **Always detect input source** - Check file, wiki, or use conversation
-6. **Always search lessons learned** - Prevent repeated mistakes
+6. **Always create wiki proposal and implementation** - Before creating issues
-7. **Always use proper naming** - `[Sprint XX] <type>: <description>`
+7. **Always search lessons learned** - Prevent repeated mistakes
-8. **Always set up dependencies** - Use native Gitea dependencies
+8. **Always use proper naming** - `[Sprint XX] <type>: <description>`
-9. **Always use suggest_labels** - Don't guess labels
+9. **Always include wiki reference** - Add implementation link to issues
-10. **Always think through architecture** - Consider edge cases
+10. **Always set up dependencies** - Use native Gitea dependencies
+11. **Always use suggest_labels** - Don't guess labels
+12. **Always think through architecture** - Consider edge cases
+13. **Always cleanup local files** - Delete after migrating to wiki
 
 You are the thoughtful planner who ensures sprints are well-prepared, architecturally sound, and learn from past experiences. Take your time, ask questions, and create comprehensive plans that set the team up for success.

plugins/projman/commands/debug-report.md

@@ -4,7 +4,7 @@ description: Run diagnostics and create structured issue in marketplace reposito
 
 # Debug Report
 
-Run diagnostic checks on projman MCP tools and create a structured issue in the marketplace repository for investigation.
+Create structured issues in the marketplace repository - either from automated diagnostic tests OR from user-reported problems.
 
 ## Prerequisites
 
@@ -20,6 +20,101 @@ If not configured, ask the user for the marketplace repository path.
 
 You MUST follow these steps in order. Do NOT skip any step.
 
+### Step 0: Select Report Mode
+
+Use AskUserQuestion to determine what the user wants to report:
+
+```
+What would you like to report?
+
+[ ] Run automated diagnostics - Test MCP tools and report failures
+[ ] Report an issue I experienced - Describe a problem with any plugin command
+```
+
+Store the selection as `REPORT_MODE`:
+- "automated" → Continue to Step 1
+- "user-reported" → Skip to Step 0.1
+
+---
+
+### Step 0.1: Gather User Feedback (User-Reported Mode Only)
+
+If `REPORT_MODE` is "user-reported", gather structured feedback.
+
+**Question 1: What were you trying to do?**
+
+Use AskUserQuestion:
+```
+Which plugin/command were you using?
+
+[ ] projman (sprint planning, issues, labels)
+[ ] git-flow (commits, branches)
+[ ] pr-review (pull request review)
+[ ] cmdb-assistant (NetBox integration)
+[ ] doc-guardian (documentation)
+[ ] code-sentinel (security, refactoring)
+[ ] Other - I'll describe it
+```
+
+Store as `AFFECTED_PLUGIN`.
+
+Then ask for the specific command (free text):
+```
+What command or tool were you using? (e.g., /sprint-plan, virt_update_vm)
+```
+
+Store as `AFFECTED_COMMAND`.
+
+**Question 2: What was your goal?**
+
+```
+Briefly describe what you were trying to accomplish:
+```
+
+Store as `USER_GOAL`.
+
+**Question 3: What went wrong?**
+
+Use AskUserQuestion:
+```
+What type of problem did you encounter?
+
+[ ] Error message - Command failed with an error
+[ ] Missing feature - Tool doesn't support what I need
+[ ] Unexpected behavior - It worked but did the wrong thing
+[ ] Documentation issue - Instructions were unclear or wrong
+[ ] Other - I'll describe it
+```
+
+Store as `PROBLEM_TYPE`.
+
+Then ask for details (free text):
+```
+Describe what happened. Include any error messages if applicable:
+```
+
+Store as `PROBLEM_DESCRIPTION`.
+
+**Question 4: Expected vs Actual**
+
+```
+What did you expect to happen?
+```
+
+Store as `EXPECTED_BEHAVIOR`.
+
+**Question 5: Workaround (optional)**
+
+```
+Did you find a workaround? If so, describe it (or skip):
+```
+
+Store as `WORKAROUND` (may be empty).
+
+After gathering feedback, continue to Step 1 for context gathering, then skip to Step 5.1.
+
+---
+
 ### Step 1: Gather Project Context
 
 Run these Bash commands to capture project information:
@@ -91,7 +186,9 @@ grep PROJMAN_MARKETPLACE_REPO .env
 
 Store as `MARKETPLACE_REPO`. If not found, ask the user.
 
-### Step 3: Run Diagnostic Suite
+### Step 3: Run Diagnostic Suite (Automated Mode Only)
+
+**Skip this step if `REPORT_MODE` is "user-reported"** → Go to Step 5.1
 
 Run each MCP tool with explicit `repo` parameter. Record success/failure and full response.
 
@@ -131,7 +228,9 @@ For each test, record:
 - Status: PASS or FAIL
 - Response or error message
 
-### Step 4: Analyze Results
+### Step 4: Analyze Results (Automated Mode Only)
+
+**Skip this step if `REPORT_MODE` is "user-reported"** → Go to Step 5.1
 
 Count failures and categorize errors:
 
@@ -145,7 +244,9 @@ Count failures and categorize errors:
 
 For each failure, write a hypothesis about the likely cause.
 
-### Step 5: Generate Smart Labels
+### Step 5: Generate Smart Labels (Automated Mode Only)
+
+**Skip this step if `REPORT_MODE` is "user-reported"** → Go to Step 5.1
 
 Generate appropriate labels based on the diagnostic results.
 
@@ -180,7 +281,53 @@ The final label set should include:
 - **Always**: `Type: Bug`, `Source: Diagnostic`, `Agent: Claude`
 - **If detected**: `Component: *`, `Complexity: *`, `Risk: *`, `Priority: *`
 
-### Step 6: Generate Issue Content
+After generating labels, continue to Step 6.
+
+---
+
+### Step 5.1: Generate Labels (User-Reported Mode Only)
+
+**Only execute this step if `REPORT_MODE` is "user-reported"**
+
+**1. Map problem type to labels:**
+
+| PROBLEM_TYPE | Labels |
+|--------------|--------|
+| Error message | `Type: Bug` |
+| Missing feature | `Type: Enhancement` |
+| Unexpected behavior | `Type: Bug` |
+| Documentation issue | `Type: Documentation` |
+| Other | `Type: Bug` (default) |
+
+**2. Map plugin to component:**
+
+| AFFECTED_PLUGIN | Component Label |
+|-----------------|-----------------|
+| projman | `Component: Commands` |
+| git-flow | `Component: Commands` |
+| pr-review | `Component: Commands` |
+| cmdb-assistant | `Component: API` |
+| doc-guardian | `Component: Commands` |
+| code-sentinel | `Component: Commands` |
+| Other | *(no component label)* |
+
+**3. Build final labels:**
+
+```
+BASE_LABELS = ["Source: User-Reported", "Agent: Claude"]
+TYPE_LABEL = [mapped from PROBLEM_TYPE]
+COMPONENT_LABEL = [mapped from AFFECTED_PLUGIN, if any]
+
+FINAL_LABELS = BASE_LABELS + TYPE_LABEL + COMPONENT_LABEL
+```
+
+After generating labels, continue to Step 6.1.
+
+---
+
+### Step 6: Generate Issue Content (Automated Mode Only)
+
+**Skip this step if `REPORT_MODE` is "user-reported"** → Go to Step 6.1
 
 Use this exact template:
 
@@ -254,9 +401,86 @@ Use this exact template:
 
 ---
 
-*Generated by /debug-report - Labels: Type: Bug, Source: Diagnostic, Agent: Claude*
+*Generated by /debug-report (automated) - Labels: Type: Bug, Source: Diagnostic, Agent: Claude*
 ```
 
+After generating content, continue to Step 7.
+
+---
+
+### Step 6.1: Generate Issue Content (User-Reported Mode Only)
+
+**Only execute this step if `REPORT_MODE` is "user-reported"**
+
+Use this template for user-reported issues:
+
+```markdown
+## User-Reported Issue
+
+**Reported**: [ISO timestamp]
+**Reporter**: Claude Code via /debug-report (user feedback)
+
+## Context
+
+| Field | Value |
+|-------|-------|
+| Plugin | `[AFFECTED_PLUGIN]` |
+| Command/Tool | `[AFFECTED_COMMAND]` |
+| Repository | `[PROJECT_REPO]` |
+| Working Directory | `[WORKING_DIR]` |
+| Branch | `[CURRENT_BRANCH]` |
+
+## Problem Description
+
+### Goal
+[USER_GOAL]
+
+### What Happened
+**Problem Type**: [PROBLEM_TYPE]
+
+[PROBLEM_DESCRIPTION]
+
+### Expected Behavior
+[EXPECTED_BEHAVIOR]
+
+## Workaround
+[WORKAROUND if provided, otherwise "None identified"]
+
+## Investigation Hints
+
+Based on the affected plugin/command, relevant files to check:
+
+[Generate based on AFFECTED_PLUGIN:]
+
+**projman:**
+- `plugins/projman/commands/[AFFECTED_COMMAND].md`
+- `mcp-servers/gitea/mcp_server/tools/*.py`
+
+**git-flow:**
+- `plugins/git-flow/commands/[AFFECTED_COMMAND].md`
+
+**pr-review:**
+- `plugins/pr-review/commands/[AFFECTED_COMMAND].md`
+- `mcp-servers/gitea/mcp_server/tools/pull_requests.py`
+
+**cmdb-assistant:**
+- `plugins/cmdb-assistant/commands/[AFFECTED_COMMAND].md`
+- `mcp-servers/netbox/mcp_server/tools/*.py`
+- `mcp-servers/netbox/mcp_server/server.py` (tool schemas)
+
+**doc-guardian / code-sentinel:**
+- `plugins/[plugin]/commands/[AFFECTED_COMMAND].md`
+- `plugins/[plugin]/hooks/*.md`
+
+---
+
+*Generated by /debug-report (user feedback) - Labels: [FINAL_LABELS]*
+```
+
+After generating content, continue to Step 7.
+
+---
+
 ### Step 7: Create Issue in Marketplace
 
 **IMPORTANT:** Always use curl to create issues in the marketplace repo. This avoids branch protection restrictions and MCP context issues that can block issue creation when working on protected branches.
@@ -274,46 +498,57 @@ fi
 
 **2. Fetch label IDs from marketplace repo:**
 
-The diagnostic labels to apply are:
+Labels depend on `REPORT_MODE`:
+
+**Automated mode:**
 - `Source/Diagnostic` (always)
 - `Type/Bug` (always)
 
+**User-reported mode:**
+- `Source/User-Reported` (always)
+- Type label from Step 5.1 (Bug, Enhancement, or Documentation)
+- Component label from Step 5.1 (if applicable)
+
 ```bash
-# Fetch all labels and extract IDs for our target labels
+# Fetch all labels from marketplace repo
 LABELS_JSON=$(curl -s "${GITEA_API_URL}/repos/${MARKETPLACE_REPO}/labels" \
   -H "Authorization: token ${GITEA_API_TOKEN}")
 
-# Extract label IDs (handles both org and repo labels)
+# Extract label IDs based on FINAL_LABELS from Step 5 or 5.1
-SOURCE_DIAG_ID=$(echo "$LABELS_JSON" | jq -r '.[] | select(.name == "Source/Diagnostic") | .id')
+# Build LABEL_IDS array with IDs of labels that exist in the repo
-TYPE_BUG_ID=$(echo "$LABELS_JSON" | jq -r '.[] | select(.name == "Type/Bug") | .id')
+# Example for automated mode:
+SOURCE_ID=$(echo "$LABELS_JSON" | jq -r '.[] | select(.name == "Source/Diagnostic") | .id')
+TYPE_ID=$(echo "$LABELS_JSON" | jq -r '.[] | select(.name == "Type/Bug") | .id')
 
-# Build label array (only include IDs that were found)
+# Example for user-reported mode (adjust based on FINAL_LABELS):
-LABEL_IDS="[]"
+# SOURCE_ID=$(echo "$LABELS_JSON" | jq -r '.[] | select(.name == "Source/User-Reported") | .id')
-if [[ -n "$SOURCE_DIAG_ID" && -n "$TYPE_BUG_ID" ]]; then
+# TYPE_ID=$(echo "$LABELS_JSON" | jq -r '.[] | select(.name == "[TYPE_LABEL]") | .id')
-  LABEL_IDS="[$SOURCE_DIAG_ID, $TYPE_BUG_ID]"
-elif [[ -n "$SOURCE_DIAG_ID" ]]; then
-  LABEL_IDS="[$SOURCE_DIAG_ID]"
-elif [[ -n "$TYPE_BUG_ID" ]]; then
-  LABEL_IDS="[$TYPE_BUG_ID]"
-fi
 
+# Build label array from found IDs
+LABEL_IDS="[$(echo "$SOURCE_ID,$TYPE_ID" | sed 's/,,*/,/g; s/^,//; s/,$//')]"
 echo "Label IDs to apply: $LABEL_IDS"
 ```
 
 **3. Create issue with labels via curl:**
 
+**Title format depends on `REPORT_MODE`:**
+- Automated: `[Diagnostic] [summary of main failure]`
+- User-reported: `[AFFECTED_PLUGIN] [brief summary of PROBLEM_DESCRIPTION]`
+
 ```bash
 # Create temp files with restrictive permissions
 DIAG_TITLE=$(mktemp -t diag-title.XXXXXX)
 DIAG_BODY=$(mktemp -t diag-body.XXXXXX)
 DIAG_PAYLOAD=$(mktemp -t diag-payload.XXXXXX)
 
-# Save title
+# Save title (format depends on REPORT_MODE)
-echo "[Diagnostic] [summary of main failure]" > "$DIAG_TITLE"
+# Automated: "[Diagnostic] [summary of main failure]"
+# User-reported: "[AFFECTED_PLUGIN] [brief summary]"
+echo "[Title based on REPORT_MODE]" > "$DIAG_TITLE"
 
-# Save body (paste Step 6 content) - heredoc delimiter prevents shell expansion
+# Save body (paste Step 6 or 6.1 content) - heredoc delimiter prevents shell expansion
 cat > "$DIAG_BODY" << 'DIAGNOSTIC_EOF'
-[Paste the full issue content from Step 6 here]
+[Paste the full issue content from Step 6 or 6.1 here]
 DIAGNOSTIC_EOF
 
 # Build JSON payload with labels using jq
@@ -360,8 +595,9 @@ To create the issue manually:
 
 ### Step 8: Report to User
 
-Display summary:
+Display summary based on `REPORT_MODE`:
 
+**Automated Mode:**
 ```
 Debug Report Complete
 =====================
@@ -383,18 +619,38 @@ Next Steps:
   3. Select issue #[N] to investigate
 ```
 
+**User-Reported Mode:**
+```
+Issue Report Complete
+=====================
+
+Plugin: [AFFECTED_PLUGIN]
+Command: [AFFECTED_COMMAND]
+Problem: [PROBLEM_TYPE]
+
+Issue Created: [issue URL]
+
+Your feedback has been captured. The development team will
+investigate and may follow up with questions.
+
+Next Steps:
+  1. Switch to marketplace repo: cd [marketplace path]
+  2. Run: /debug-review
+  3. Select issue #[N] to investigate
+```
+
 ## DO NOT
 
 - **DO NOT** attempt to fix anything - only report
-- **DO NOT** create issues if all tests pass (just report success)
+- **DO NOT** create issues if all automated tests pass (unless in user-reported mode)
-- **DO NOT** skip any diagnostic test
+- **DO NOT** skip any diagnostic test in automated mode
 - **DO NOT** call MCP tools without the `repo` parameter
-- **DO NOT** ask user questions during execution - run autonomously
+- **DO NOT** skip user questions in user-reported mode - gather complete feedback
 - **DO NOT** use MCP tools to create issues in the marketplace - always use curl (avoids branch restrictions)
 
-## If All Tests Pass
+## If All Tests Pass (Automated Mode Only)
 
-If all 5 tests pass, report success without creating an issue:
+If all 5 tests pass in automated mode, report success without creating an issue:
 
 ```
 Debug Report Complete
@@ -407,8 +663,8 @@ Failed: 0
 
 All diagnostics passed. No issues to report.
 
-If you're experiencing a specific problem, please describe it
+If you're experiencing a specific problem, run /debug-report again
-and I can create a manual bug report.
+and select "Report an issue I experienced" to describe it.
 ```
 
 ## Troubleshooting

plugins/projman/commands/proposal-status.md

@@ -0,0 +1,121 @@
+---
+description: View proposal and implementation hierarchy with status tracking
+---
+
+# Proposal Status
+
+View the status of all change proposals and their implementations in the Gitea Wiki.
+
+## Overview
+
+This command provides a tree view of:
+- All change proposals (`Change VXX.X.X: Proposal`)
+- Their implementations (`Change VXX.X.X: Proposal (Implementation N)`)
+- Linked issues and lessons learned
+
+## Workflow
+
+1. **Fetch All Wiki Pages**
+   - Use `list_wiki_pages()` to get all wiki pages
+   - Filter for pages matching `Change V*: Proposal*` pattern
+
+2. **Parse Proposal Structure**
+   - Group implementations under their parent proposals
+   - Extract status from page metadata (In Progress, Implemented, Abandoned)
+
+3. **Fetch Linked Artifacts**
+   - For each implementation, search for issues referencing it
+   - Search lessons learned that link to the implementation
+
+4. **Display Tree View**
+   ```
+   Change V04.1.0: Proposal [In Progress]
+   ├── Implementation 1 [In Progress] - 2026-01-26
+   │   ├── Issues: #161, #162, #163, #164
+   │   └── Lessons: (pending)
+   └── Implementation 2 [Not Started]
+
+   Change V04.0.0: Proposal [Implemented]
+   └── Implementation 1 [Implemented] - 2026-01-20
+       ├── Issues: #150, #151
+       └── Lessons: v4.0.0-impl-1-lessons
+   ```
+
+## MCP Tools Used
+
+- `list_wiki_pages()` - List all wiki pages
+- `get_wiki_page(page_name)` - Get page content for status extraction
+- `list_issues(state, labels)` - Find linked issues
+- `search_lessons(query, tags)` - Find linked lessons
+
+## Status Definitions
+
+| Status | Meaning |
+|--------|---------|
+| **Pending** | Proposal created but no implementation started |
+| **In Progress** | At least one implementation is active |
+| **Implemented** | All planned implementations complete |
+| **Abandoned** | Proposal was cancelled or superseded |
+
+## Filtering Options
+
+The command accepts optional filters:
+
+```
+/proposal-status                    # Show all proposals
+/proposal-status --version V04.1.0  # Show specific version
+/proposal-status --status "In Progress"  # Filter by status
+```
+
+## Example Output
+
+```
+Proposal Status Report
+======================
+
+Change V04.1.0: Wiki-Based Planning Workflow [In Progress]
+├── Implementation 1 [In Progress] - Started: 2026-01-26
+│   ├── Issues: #161 (closed), #162 (closed), #163 (closed), #164 (open)
+│   └── Lessons: (pending - sprint not closed)
+│
+└── (No additional implementations planned)
+
+Change V04.0.0: MCP Server Consolidation [Implemented]
+├── Implementation 1 [Implemented] - 2026-01-15 to 2026-01-20
+│   ├── Issues: #150 (closed), #151 (closed), #152 (closed)
+│   └── Lessons:
+│       • Sprint 15 - MCP Server Symlink Best Practices
+│       • Sprint 15 - Venv Path Resolution in Plugins
+│
+└── (Complete)
+
+Change V03.2.0: Label Taxonomy Sync [Implemented]
+└── Implementation 1 [Implemented] - 2026-01-10 to 2026-01-12
+    ├── Issues: #140 (closed), #141 (closed)
+    └── Lessons:
+        • Sprint 14 - Organization vs Repository Labels
+
+Summary:
+- Total Proposals: 3
+- In Progress: 1
+- Implemented: 2
+- Pending: 0
+```
+
+## Implementation Notes
+
+**Page Name Parsing:**
+- Proposals: `Change VXX.X.X: Proposal` or `Change Sprint-NN: Proposal`
+- Implementations: `Change VXX.X.X: Proposal (Implementation N)`
+
+**Status Extraction:**
+- Parse the `> **Status:**` line from page metadata
+- Default to "Unknown" if not found
+
+**Issue Linking:**
+- Search for issues containing wiki link in body
+- Or search for issues with `[Sprint XX]` prefix matching implementation
+
+**Lesson Linking:**
+- Search lessons with implementation link in metadata
+- Or search by version/sprint tags

plugins/projman/commands/sprint-close.md

@@ -41,13 +41,36 @@ The orchestrator agent will guide you through:
    - Create lessons in project wiki under `lessons-learned/sprints/`
    - Make lessons searchable for future sprints
 
-5. **Git Operations**
+5. **Update Wiki Implementation Page**
-   - Commit any remaining work
+   - Use `get_wiki_page` to fetch the current implementation page
+   - Update status from "In Progress" to "Implemented" (or "Partial"/"Failed")
+   - Add completion date
+   - Link to lessons learned created in step 4
+   - Use `update_wiki_page` to save changes
+
+6. **Update Wiki Proposal Page**
+   - Check if all implementations for this proposal are complete
+   - If all complete: Update proposal status to "Implemented"
+   - If partial: Keep status as "In Progress", note completed implementations
+   - Add summary of what was accomplished
+
+7. **Update CHANGELOG** (MANDATORY)
+   - Add all sprint changes to `[Unreleased]` section in CHANGELOG.md
+   - Categorize: Added, Changed, Fixed, Removed, Deprecated
+   - Include plugin prefix (e.g., `- **projman:** New feature`)
+
+8. **Version Check**
+   - Run `/suggest-version` to analyze changes and recommend version bump
+   - If release warranted: run `./scripts/release.sh X.Y.Z`
+   - Ensures version numbers stay in sync across files
+
+9. **Git Operations**
+   - Commit any remaining work (including CHANGELOG updates)
    - Merge feature branches if needed
    - Clean up merged branches
-   - Tag sprint completion
+   - Tag sprint completion (if release created)
 
-6. **Close Milestone**
+10. **Close Milestone**
    - Use `update_milestone` to close the sprint milestone
    - Document final completion status
 
@@ -66,7 +89,8 @@ The orchestrator agent will guide you through:
 - `create_lesson` - Create lessons learned entry
 - `search_lessons` - Check for similar existing lessons
 - `list_wiki_pages` - Check existing lessons learned
-- `get_wiki_page` - Read existing lessons
+- `get_wiki_page` - Read existing lessons or implementation pages
+- `update_wiki_page` - Update implementation/proposal status
 
 ## Lesson Structure
 
@@ -75,6 +99,11 @@ Lessons should follow this structure:
 ```markdown
 # Sprint X - [Lesson Title]
 
+## Metadata
+- **Implementation:** [Change VXX.X.X (Impl N)](wiki-link)
+- **Issues:** #45, #46, #47
+- **Sprint:** Sprint X
+
 ## Context
 [What were you trying to do? What was the sprint goal?]
 
@@ -91,12 +120,19 @@ Lessons should follow this structure:
 [Comma-separated tags for search: technology, component, type]
 ```
 
+**IMPORTANT:** Always include the Implementation link in the Metadata section. This enables bidirectional traceability between lessons and the work that generated them.
+
 ## Example Lessons Learned
 
 **Example 1: Technical Gotcha**
 ```markdown
 # Sprint 16 - Claude Code Infinite Loop on Validation Errors
 
+## Metadata
+- **Implementation:** [Change V1.2.0 (Impl 1)](https://gitea.example.com/org/repo/wiki/Change-V1.2.0%3A-Proposal-(Implementation-1))
+- **Issues:** #45, #46
+- **Sprint:** Sprint 16
+
 ## Context
 Implementing input validation for authentication API endpoints.
 
@@ -123,6 +159,11 @@ testing, claude-code, validation, python, pytest, debugging
 ```markdown
 # Sprint 14 - Extracting Services Too Early
 
+## Metadata
+- **Implementation:** [Change V2.0.0 (Impl 1)](https://gitea.example.com/org/repo/wiki/Change-V2.0.0%3A-Proposal-(Implementation-1))
+- **Issues:** #32, #33, #34
+- **Sprint:** Sprint 14
+
 ## Context
 Planning to extract Intuit Engine service from monolith.
 

plugins/projman/commands/sprint-plan.md

@@ -47,15 +47,34 @@ Verify all required labels exist using `get_labels`:
 
 **If labels are missing:** Use `create_label` to create them.
 
-### 4. docs/changes/ Folder Check
+### 4. Input Source Detection
 
-Verify the project has a `docs/changes/` folder for sprint input files.
+The planner supports flexible input sources for sprint planning:
 
-**If folder does NOT exist:** Prompt user to create it.
+| Source | Detection | Action |
+|--------|-----------|--------|
+| **Local file** | `docs/changes/*.md` exists | Parse frontmatter, migrate to wiki, delete local |
+| **Existing wiki** | `Change VXX.X.X: Proposal` exists | Use as-is, create new implementation page |
+| **Conversation** | Neither file nor wiki exists | Create wiki from discussion context |
 
-**If sprint starts with discussion but no input file:**
+**Input File Format** (if using local file):
-- Capture the discussion outputs
+```yaml
-- Create a change file: `docs/changes/sprint-XX-description.md`
+---
+version: "4.1.0"        # or "sprint-17" for internal work
+title: "Feature Name"
+plugin: plugin-name     # optional
+type: feature           # feature | bugfix | refactor | infra
+---
+
+# Feature Description
+[Free-form content...]
+```
+
+**Detection Logic:**
+1. Check for `docs/changes/*.md` files
+2. Check for existing wiki proposal matching version
+3. If neither found, use conversation context
+4. If ambiguous, ask user which input to use
 
 ## Planning Workflow
 
@@ -66,36 +85,56 @@ The planner agent will:
    - Understand scope, priorities, and constraints
    - Never rush - take time to understand requirements fully
 
-2. **Search Relevant Lessons Learned**
+2. **Detect Input Source**
+   - Check for `docs/changes/*.md` files
+   - Check for existing wiki proposal by version
+   - If neither: use conversation context
+   - Ask user if multiple sources found
+
+3. **Search Relevant Lessons Learned**
    - Use the `search_lessons` MCP tool to find past experiences
    - Search by keywords and tags relevant to the sprint work
    - Review patterns and preventable mistakes from previous sprints
 
-3. **Architecture Analysis**
+4. **Create/Update Wiki Proposal**
+   - If local file: migrate content to wiki, create proposal page
+   - If conversation: create proposal from discussion
+   - If existing wiki: skip creation, use as-is
+   - **Page naming:** `Change VXX.X.X: Proposal` or `Change Sprint-NN: Proposal`
+
+5. **Create Wiki Implementation Page**
+   - Create `Change VXX.X.X: Proposal (Implementation N)`
+   - Include tags: Type, Version, Status=In Progress, Date, Origin
+   - Update proposal page with link to this implementation
+   - This page tracks THIS sprint's work on the proposal
+
+6. **Architecture Analysis**
    - Think through technical approach and edge cases
    - Identify architectural decisions needed
    - Consider dependencies and integration points
    - Review existing codebase architecture
 
-4. **Create Gitea Issues**
+7. **Create Gitea Issues**
    - Use the `create_issue` MCP tool for each planned task
    - Apply appropriate labels using `suggest_labels` tool
    - **Issue Title Format (MANDATORY):** `[Sprint XX] <type>: <description>`
+   - **Include wiki reference:** `Implementation: [Change VXX.X.X (Impl N)](wiki-link)`
    - Include acceptance criteria and technical notes
 
-5. **Set Up Dependencies**
+8. **Set Up Dependencies**
    - Use `create_issue_dependency` to establish task dependencies
    - This enables parallel execution planning
 
-6. **Create or Select Milestone**
+9. **Create or Select Milestone**
    - Use `create_milestone` to group sprint issues
    - Assign issues to the milestone
 
-7. **Generate Planning Document**
+10. **Cleanup & Summary**
+    - Delete local input file (wiki is now source of truth)
     - Summarize architectural decisions
     - List created issues with labels
     - Document dependency graph
-   - Provide sprint overview
+    - Provide sprint overview with wiki links
 
 ## Issue Title Format (MANDATORY)
 
@@ -152,6 +191,8 @@ The planner agent will:
 - `search_lessons` - Search lessons learned from previous sprints
 - `list_wiki_pages` - List wiki pages
 - `get_wiki_page` - Fetch specific documentation page
+- `create_wiki_page` - Create new wiki page (proposals, implementations)
+- `update_wiki_page` - Update wiki page content
 
 ## Label Taxonomy
 
@@ -181,16 +222,17 @@ The planner agent is thoughtful and methodical:
 User: I want to plan a sprint for user authentication
 Planner: Great! Let me first run pre-planning validations...
 
-[Checks branch, repo org, labels, docs/changes folder]
+[Checks branch, repo org, labels]
+All validations passed.
 
-All validations passed. Now let me ask a few questions:
+[Checks for input sources]
+Found: docs/changes/v1.2.0-user-authentication.md
+
+I'll use this file as the planning input. Let me ask a few questions:
 
 1. What authentication method are you planning? (JWT, OAuth, session-based?)
 2. Are there any specific security requirements or compliance needs?
 3. Should this integrate with existing user management?
-4. What's the priority level for this sprint?
-
-Let me also search for relevant lessons learned about authentication...
 
 [Uses search_lessons to find past authentication work]
 
@@ -198,22 +240,23 @@ Based on previous experience, I found these relevant lessons:
 - Sprint 12: JWT token expiration handling edge cases
 - Sprint 8: OAuth integration pitfalls with third-party providers
 
-Now, let me analyze the architecture...
+[Creates wiki proposal and implementation pages]
+✓ Created: "Change V1.2.0: Proposal" (wiki)
+✓ Created: "Change V1.2.0: Proposal (Implementation 1)" (wiki)
+✓ Deleted: docs/changes/v1.2.0-user-authentication.md (migrated to wiki)
 
-[Creates issues with appropriate labels and dependencies]
+Now, let me analyze the architecture and create issues...
+
+[Creates issues with wiki references]
 
 Created 5 issues for the authentication sprint:
 - Issue #45: [Sprint 17] feat: Implement JWT token generation
   Labels: Type/Feature, Priority/High, Component/Auth, Tech/Python
-  Dependencies: None
+  Implementation: [Change V1.2.0 (Impl 1)](wiki-link)
 
 - Issue #46: [Sprint 17] feat: Build user login endpoint
   Labels: Type/Feature, Priority/High, Component/API, Tech/FastAPI
-  Dependencies: #45
+  Implementation: [Change V1.2.0 (Impl 1)](wiki-link)
-
-- Issue #47: [Sprint 17] feat: Create user registration form
-  Labels: Type/Feature, Priority/Medium, Component/Frontend, Tech/Vue
-  Dependencies: #46
 
 Dependency Graph:
 #45 -> #46 -> #47
@@ -222,20 +265,28 @@ Dependency Graph:
       #48
 
 Milestone: Sprint 17 - User Authentication (Due: 2025-02-01)
+Wiki: https://gitea.example.com/org/repo/wiki/Change-V1.2.0%3A-Proposal
 ```
 
 ## Getting Started
 
 Invoke the planner agent by providing your sprint goals. The agent will guide you through the planning process.
 
+**Input Options:**
+1. Create `docs/changes/vX.Y.Z-feature-name.md` with frontmatter before running
+2. Create wiki proposal page manually, then run `/sprint-plan`
+3. Just start a conversation - the planner will capture context and create wiki pages
+
 **Example:**
 > "I want to plan a sprint for extracting the Intuit Engine service from the monolith"
 
 The planner will then:
 1. Run pre-planning validations
-2. Ask clarifying questions
+2. Detect input source (file, wiki, or conversation)
-3. Search lessons learned
+3. Ask clarifying questions
-4. Create issues with proper naming and labels
+4. Search lessons learned
-5. Set up dependencies
+5. Create wiki proposal and implementation pages
-6. Create milestone
+6. Create issues with wiki references
-7. Generate planning summary
+7. Set up dependencies
+8. Create milestone
+9. Cleanup and generate planning summary

plugins/projman/commands/suggest-version.md

@@ -0,0 +1,78 @@
+# /suggest-version
+
+Analyze CHANGELOG.md and suggest appropriate semantic version bump.
+
+## Behavior
+
+1. **Read current state**:
+   - Read `CHANGELOG.md` to find current version and [Unreleased] content
+   - Read `.claude-plugin/marketplace.json` for current marketplace version
+   - Check individual plugin versions in `plugins/*/. claude-plugin/plugin.json`
+
+2. **Analyze [Unreleased] section**:
+   - Extract all entries under `### Added`, `### Changed`, `### Fixed`, `### Removed`, `### Deprecated`
+   - Categorize changes by impact
+
+3. **Apply SemVer rules**:
+
+   | Change Type | Version Bump | Indicators |
+   |-------------|--------------|------------|
+   | **MAJOR** (X.0.0) | Breaking changes | `### Removed`, `### Changed` with "BREAKING:", renamed/removed APIs |
+   | **MINOR** (x.Y.0) | New features, backwards compatible | `### Added` with new commands/plugins/features |
+   | **PATCH** (x.y.Z) | Bug fixes only | `### Fixed` only, `### Changed` for non-breaking tweaks |
+
+4. **Output recommendation**:
+   ```
+   ## Version Analysis
+
+   **Current version:** X.Y.Z
+   **[Unreleased] summary:**
+   - Added: N entries (new features/plugins)
+   - Changed: N entries (M breaking)
+   - Fixed: N entries
+   - Removed: N entries
+
+   **Recommendation:** MINOR bump → X.(Y+1).0
+   **Reason:** New features added without breaking changes
+
+   **To release:** ./scripts/release.sh X.Y.Z
+   ```
+
+5. **Check version sync**:
+   - Compare marketplace version with individual plugin versions
+   - Warn if plugins are out of sync (e.g., marketplace 4.0.0 but projman 3.1.0)
+
+## Examples
+
+**Output when MINOR bump needed:**
+```
+## Version Analysis
+
+**Current version:** 4.0.0
+**[Unreleased] summary:**
+- Added: 3 entries (new command, hook improvement, workflow example)
+- Changed: 1 entry (0 breaking)
+- Fixed: 2 entries
+
+**Recommendation:** MINOR bump → 4.1.0
+**Reason:** New features (Added section) without breaking changes
+
+**To release:** ./scripts/release.sh 4.1.0
+```
+
+**Output when nothing to release:**
+```
+## Version Analysis
+
+**Current version:** 4.0.0
+**[Unreleased] summary:** Empty - no pending changes
+
+**Recommendation:** No release needed
+```
+
+## Integration
+
+This command helps maintain proper versioning workflow:
+- Run after completing a sprint to determine version bump
+- Run before `/sprint-close` to ensure version is updated
+- Integrates with `./scripts/release.sh` for actual release execution

plugins/projman/hooks/startup-check.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 # projman startup check hook
-# Checks for common issues at session start
+# Checks for common issues AND suggests sprint planning proactively
 # All output MUST have [projman] prefix
 
 PREFIX="[projman]"
@@ -26,5 +26,41 @@ if [[ -f ".env" ]]; then
     fi
 fi
 
-# All checks passed - say nothing
+# Check for open issues (suggests sprint planning)
+# Only if .env exists with valid GITEA config
+if [[ -f ".env" ]]; then
+    GITEA_API_URL=$(grep -E "^GITEA_API_URL=" ~/.config/claude/gitea.env 2>/dev/null | cut -d'=' -f2 | tr -d '"' || true)
+    GITEA_API_TOKEN=$(grep -E "^GITEA_API_TOKEN=" ~/.config/claude/gitea.env 2>/dev/null | cut -d'=' -f2 | tr -d '"' || true)
+    GITEA_REPO=$(grep -E "^GITEA_REPO=" .env 2>/dev/null | cut -d'=' -f2 | tr -d '"' || true)
+
+    if [[ -n "$GITEA_API_URL" && -n "$GITEA_API_TOKEN" && -n "$GITEA_REPO" ]]; then
+        # Quick check for open issues without milestone (unplanned work)
+        OPEN_ISSUES=$(curl -s -m 5 \
+            -H "Authorization: token $GITEA_API_TOKEN" \
+            "${GITEA_API_URL}/repos/${GITEA_REPO}/issues?state=open&milestone=none&limit=1" 2>/dev/null | \
+            grep -c '"number"' || echo "0")
+
+        if [[ "$OPEN_ISSUES" -gt 0 ]]; then
+            # Count total unplanned issues
+            TOTAL_UNPLANNED=$(curl -s -m 5 \
+                -H "Authorization: token $GITEA_API_TOKEN" \
+                "${GITEA_API_URL}/repos/${GITEA_REPO}/issues?state=open&milestone=none" 2>/dev/null | \
+                grep -c '"number"' || echo "?")
+            echo "$PREFIX ${TOTAL_UNPLANNED} open issues without milestone - consider /sprint-plan"
+        fi
+    fi
+fi
+
+# Check for CHANGELOG.md [Unreleased] content (version management)
+if [[ -f "CHANGELOG.md" ]]; then
+    # Check if there's content under [Unreleased] that hasn't been released
+    UNRELEASED_CONTENT=$(sed -n '/## \[Unreleased\]/,/## \[/p' CHANGELOG.md 2>/dev/null | grep -E '^### (Added|Changed|Fixed|Removed|Deprecated)' | head -1 || true)
+    if [[ -n "$UNRELEASED_CONTENT" ]]; then
+        UNRELEASED_LINES=$(sed -n '/## \[Unreleased\]/,/## \[/p' CHANGELOG.md 2>/dev/null | grep -E '^- ' | wc -l | tr -d ' ')
+        if [[ "$UNRELEASED_LINES" -gt 0 ]]; then
+            echo "$PREFIX ${UNRELEASED_LINES} unreleased changes in CHANGELOG - consider version bump"
+        fi
+    fi
+fi
+
 exit 0

plugins/viz-platform/.claude-plugin/plugin.json

@@ -0,0 +1,24 @@
+{
+  "name": "viz-platform",
+  "version": "1.0.0",
+  "description": "Visualization tools with Dash Mantine Components validation, Plotly charts, and theming",
+  "author": {
+    "name": "Leo Miranda",
+    "email": "leobmiranda@gmail.com"
+  },
+  "homepage": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace/src/branch/main/plugins/viz-platform/README.md",
+  "repository": "https://gitea.hotserv.cloud/personal-projects/leo-claude-mktplace.git",
+  "license": "MIT",
+  "keywords": [
+    "dash",
+    "plotly",
+    "mantine",
+    "charts",
+    "dashboards",
+    "theming",
+    "visualization",
+    "dmc"
+  ],
+  "commands": ["./commands/"],
+  "mcpServers": ["./.mcp.json"]
+}

plugins/viz-platform/.mcp.json

@@ -0,0 +1,10 @@
+{
+  "mcpServers": {
+    "viz-platform": {
+      "type": "stdio",
+      "command": "${CLAUDE_PLUGIN_ROOT}/mcp-servers/viz-platform/.venv/bin/python",
+      "args": ["-m", "mcp_server.server"],
+      "cwd": "${CLAUDE_PLUGIN_ROOT}/mcp-servers/viz-platform"
+    }
+  }
+}

plugins/viz-platform/README.md

@@ -0,0 +1,196 @@
+# viz-platform Plugin
+
+Visualization tools with Dash Mantine Components validation, Plotly charts, and theming for Claude Code.
+
+## Features
+
+- **DMC Validation**: Prevent prop hallucination with version-locked component registry
+- **Chart Creation**: Plotly charts with automatic theme token application
+- **Layout Builder**: Dashboard layouts with filters, grids, and responsive design
+- **Theme System**: Create, extend, and export design tokens
+
+## Installation
+
+This plugin is part of the leo-claude-mktplace. Install via:
+
+```bash
+# From marketplace
+claude plugins install leo-claude-mktplace/viz-platform
+
+# Setup MCP server venv
+cd ~/.claude/plugins/marketplaces/leo-claude-mktplace/mcp-servers/viz-platform
+python -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+```
+
+## Configuration
+
+### System-Level (Optional)
+
+Create `~/.config/claude/viz-platform.env` for default theme preferences:
+
+```env
+VIZ_PLATFORM_COLOR_SCHEME=light
+VIZ_PLATFORM_PRIMARY_COLOR=blue
+```
+
+### Project-Level (Optional)
+
+Add to project `.env` for project-specific settings:
+
+```env
+VIZ_PLATFORM_THEME=my-custom-theme
+DMC_VERSION=0.14.7
+```
+
+## Commands
+
+| Command | Description |
+|---------|-------------|
+| `/initial-setup` | Interactive setup wizard for DMC and theme preferences |
+| `/component {name}` | Inspect component props and validation |
+| `/chart {type}` | Create a Plotly chart |
+| `/dashboard {template}` | Create a dashboard layout |
+| `/theme {name}` | Apply an existing theme |
+| `/theme-new {name}` | Create a new custom theme |
+| `/theme-css {name}` | Export theme as CSS |
+
+## Agents
+
+| Agent | Description |
+|-------|-------------|
+| `theme-setup` | Design-focused theme creation specialist |
+| `layout-builder` | Dashboard layout and filter specialist |
+| `component-check` | Strict component validation specialist |
+
+## Tool Categories
+
+### DMC Validation (3 tools)
+Prevent invalid component props before runtime.
+
+| Tool | Description |
+|------|-------------|
+| `list_components` | List available components by category |
+| `get_component_props` | Get detailed prop specifications |
+| `validate_component` | Validate a component configuration |
+
+### Charts (2 tools)
+Create Plotly charts with theme integration.
+
+| Tool | Description |
+|------|-------------|
+| `chart_create` | Create a chart (line, bar, scatter, pie, etc.) |
+| `chart_configure_interaction` | Configure chart interactivity |
+
+### Layouts (5 tools)
+Build dashboard structures with filters and grids.
+
+| Tool | Description |
+|------|-------------|
+| `layout_create` | Create a layout structure |
+| `layout_add_filter` | Add filter components |
+| `layout_set_grid` | Configure responsive grid |
+| `layout_add_section` | Add content sections |
+| `layout_get` | Retrieve layout details |
+
+### Themes (6 tools)
+Manage design tokens and styling.
+
+| Tool | Description |
+|------|-------------|
+| `theme_create` | Create a new theme |
+| `theme_extend` | Extend an existing theme |
+| `theme_validate` | Validate theme configuration |
+| `theme_export_css` | Export as CSS custom properties |
+| `theme_list` | List available themes |
+| `theme_activate` | Set the active theme |
+
+### Pages (5 tools)
+Create full Dash app configurations.
+
+| Tool | Description |
+|------|-------------|
+| `page_create` | Create a page structure |
+| `page_add_navbar` | Add navigation bar |
+| `page_set_auth` | Configure authentication |
+| `page_list` | List pages |
+| `page_get_app_config` | Get full app configuration |
+
+## Component Validation
+
+The key differentiator of viz-platform is the component registry system:
+
+```python
+# Before writing component code
+get_component_props("Button")
+# Returns: all valid props with types, enums, defaults
+
+# After writing code
+validate_component("Button", {"variant": "filled", "color": "blue"})
+# Returns: {valid: true} or {valid: false, errors: [...]}
+```
+
+This prevents common DMC mistakes:
+- Prop typos (`colour` vs `color`)
+- Invalid enum values (`size="large"` vs `size="lg"`)
+- Wrong case (`fullwidth` vs `fullWidth`)
+
+## Example Workflow
+
+```
+/component Button
+# → Shows all Button props with types and defaults
+
+/theme-new corporate
+# → Creates theme with brand colors
+
+/chart bar
+# → Creates bar chart with theme colors
+
+/dashboard sidebar
+# → Creates sidebar layout with filters
+
+/theme-css corporate
+# → Exports theme as CSS for external use
+```
+
+## Cross-Plugin Integration
+
+viz-platform works seamlessly with data-platform:
+
+1. **Load data** with data-platform: `/ingest sales.csv`
+2. **Create chart** with viz-platform: `/chart line` using the data_ref
+3. **Build layout** with viz-platform: `/dashboard` with filters
+4. **Export** complete dashboard structure
+
+## Chart Types
+
+| Type | Best For |
+|------|----------|
+| `line` | Time series, trends |
+| `bar` | Comparisons, categories |
+| `scatter` | Correlations, distributions |
+| `pie` | Part-to-whole |
+| `area` | Cumulative trends |
+| `histogram` | Frequency distributions |
+| `box` | Statistical distributions |
+| `heatmap` | Matrix correlations |
+| `sunburst` | Hierarchical data |
+| `treemap` | Hierarchical proportions |
+
+## Layout Templates
+
+| Template | Best For |
+|----------|----------|
+| `basic` | Simple dashboards, reports |
+| `sidebar` | Navigation-heavy apps |
+| `tabs` | Multi-page dashboards |
+| `split` | Comparisons, master-detail |
+
+## Requirements
+
+- Python 3.10+
+- dash-mantine-components >= 0.14.0
+- plotly >= 5.18.0
+- dash >= 2.14.0

plugins/viz-platform/agents/component-check.md

@@ -0,0 +1,145 @@
+# Component Check Agent
+
+You are a strict component validation specialist. Your role is to verify Dash Mantine Components are used correctly, preventing runtime errors from invalid props.
+
+## Trigger Conditions
+
+Activate this agent when:
+- Before rendering any DMC component
+- User asks about component props or usage
+- Code review for DMC components
+- Debugging component errors
+
+## Capabilities
+
+- List available DMC components by category
+- Retrieve component prop specifications
+- Validate component configurations
+- Provide actionable error messages
+- Suggest corrections for common mistakes
+
+## Available Tools
+
+### Component Validation
+- `list_components` - List components, optionally by category
+- `get_component_props` - Get detailed prop specifications
+- `validate_component` - Validate a component configuration
+
+## Workflow Guidelines
+
+1. **Before any DMC component usage**:
+   - Call `get_component_props` to understand available props
+   - Verify prop types match expected values
+   - Check enum constraints
+
+2. **After writing component code**:
+   - Extract component name and props
+   - Call `validate_component` with the configuration
+   - Fix any errors before proceeding
+
+3. **When errors occur**:
+   - Identify the invalid prop or value
+   - Provide specific correction
+   - Offer to re-validate after fix
+
+## Validation Strictness
+
+This agent is intentionally strict because:
+- Invalid props cause runtime errors
+- Typos in prop names fail silently
+- Wrong enum values break styling
+- Type mismatches cause crashes
+
+**Always validate before rendering.**
+
+## Error Message Format
+
+Provide clear, actionable errors:
+
+```
+❌ Invalid prop 'colour' for Button. Did you mean 'color'?
+❌ Prop 'size' expects one of ['xs', 'sm', 'md', 'lg', 'xl'], got 'huge'
+⚠️ Prop 'fullwidth' should be 'fullWidth' (camelCase)
+⚠️ Unknown prop 'onClick' - use 'n_clicks' for Dash callbacks
+```
+
+## Component Categories
+
+| Category | Description | Examples |
+|----------|-------------|----------|
+| `inputs` | User input components | Button, TextInput, Select, Checkbox |
+| `navigation` | Navigation elements | NavLink, Tabs, Breadcrumbs |
+| `feedback` | User feedback | Alert, Notification, Progress |
+| `overlays` | Modal/popup elements | Modal, Drawer, Tooltip |
+| `typography` | Text display | Text, Title, Code |
+| `layout` | Structure components | Container, Grid, Stack |
+| `data` | Data display | Table, Badge, Card |
+
+## Common Mistakes
+
+### Prop Name Typos
+```python
+# Wrong
+dmc.Button(colour="blue")  # 'colour' vs 'color'
+
+# Correct
+dmc.Button(color="blue")
+```
+
+### Invalid Enum Values
+```python
+# Wrong
+dmc.Button(size="large")  # 'large' not valid
+
+# Correct
+dmc.Button(size="lg")  # Use 'lg'
+```
+
+### Wrong Case
+```python
+# Wrong
+dmc.Button(fullwidth=True)  # lowercase
+
+# Correct
+dmc.Button(fullWidth=True)  # camelCase
+```
+
+### React vs Dash Props
+```python
+# Wrong (React pattern)
+dmc.Button(onClick=handler)
+
+# Correct (Dash pattern)
+dmc.Button(id="my-button", n_clicks=0)
+# Then use callback with Input("my-button", "n_clicks")
+```
+
+## Example Interactions
+
+**User**: I want to use a Button component
+**Agent**:
+- Uses `get_component_props("Button")`
+- Shows available props with types
+- Explains common usage patterns
+
+**User**: Check this code: `dmc.Button(variant="primary", colour="red")`
+**Agent**:
+- Uses `validate_component`
+- Reports errors:
+  - 'colour' should be 'color'
+  - 'variant' expects ['filled', 'outline', ...], not 'primary'
+- Suggests: `dmc.Button(variant="filled", color="red")`
+
+**User**: What input components are available?
+**Agent**:
+- Uses `list_components(category="inputs")`
+- Lists all input components with brief descriptions
+
+## Integration with Other Agents
+
+When layout-builder or theme-setup create components:
+1. They should call component-check first
+2. Validate all props before finalizing
+3. Ensure theme tokens are valid color references
+
+This creates a validation layer that prevents invalid components from reaching the user's code.

plugins/viz-platform/agents/layout-builder.md

@@ -0,0 +1,151 @@
+# Layout Builder Agent
+
+You are a practical dashboard layout specialist. Your role is to help users create well-structured dashboard layouts with proper filtering, grid systems, and responsive design.
+
+## Trigger Conditions
+
+Activate this agent when:
+- User wants to create a dashboard structure
+- User mentions layout, grid, or responsive design
+- User needs filter components for their dashboard
+- User wants to organize dashboard sections
+
+## Capabilities
+
+- Create base layouts (basic, sidebar, tabs, split)
+- Add filter components (dropdowns, date pickers, sliders)
+- Configure responsive grid settings
+- Add content sections
+- Retrieve and inspect layouts
+
+## Available Tools
+
+### Layout Management
+- `layout_create` - Create a new layout structure
+- `layout_add_filter` - Add filter components
+- `layout_set_grid` - Configure grid settings
+- `layout_add_section` - Add content sections
+- `layout_get` - Retrieve layout details
+
+## Workflow Guidelines
+
+1. **Understand the purpose**:
+   - What data will the dashboard display?
+   - Who is the target audience?
+   - What actions do users need to take?
+
+2. **Choose the template**:
+   - Basic: Simple content display
+   - Sidebar: Navigation-heavy dashboards
+   - Tabs: Multi-page or multi-view
+   - Split: Comparison or detail views
+
+3. **Add filters**:
+   - What dimensions can users filter by?
+   - Date ranges? Categories? Search?
+   - Position filters appropriately
+
+4. **Configure the grid**:
+   - How many columns?
+   - Mobile responsiveness?
+   - Spacing between components?
+
+5. **Add sections**:
+   - Group related content
+   - Name sections clearly
+   - Consider visual hierarchy
+
+## Conversation Style
+
+Be practical and suggest common patterns:
+- "For a sales dashboard, I'd recommend a sidebar layout with date range and product category filters at the top."
+- "Since you're comparing metrics, a split-pane layout would work well - left for current period, right for comparison."
+- "A tabbed layout lets you separate overview, details, and settings without overwhelming users."
+
+## Template Reference
+
+### Basic Layout
+Best for: Simple dashboards, reports, single-purpose views
+```
+┌─────────────────────────────┐
+│          Header             │
+├─────────────────────────────┤
+│          Filters            │
+├─────────────────────────────┤
+│          Content            │
+└─────────────────────────────┘
+```
+
+### Sidebar Layout
+Best for: Navigation-heavy apps, multi-section dashboards
+```
+┌────────┬────────────────────┐
+│        │       Header       │
+│  Nav   ├────────────────────┤
+│        │      Filters       │
+│        ├────────────────────┤
+│        │      Content       │
+└────────┴────────────────────┘
+```
+
+### Tabs Layout
+Best for: Multi-page apps, view switching
+```
+┌─────────────────────────────┐
+│          Header             │
+├──────┬──────┬──────┬────────┤
+│ Tab1 │ Tab2 │ Tab3 │        │
+├──────┴──────┴──────┴────────┤
+│       Tab Content           │
+└─────────────────────────────┘
+```
+
+### Split Layout
+Best for: Comparisons, master-detail views
+```
+┌─────────────────────────────┐
+│          Header             │
+├──────────────┬──────────────┤
+│    Left      │    Right     │
+│    Pane      │    Pane      │
+└──────────────┴──────────────┘
+```
+
+## Filter Types
+
+| Type | Use Case | Example |
+|------|----------|---------|
+| `dropdown` | Category selection | Product category, region |
+| `date_range` | Time filtering | Report period |
+| `slider` | Numeric range | Price range, quantity |
+| `checkbox` | Multi-select options | Status flags |
+| `search` | Text search | Customer lookup |
+
+## Example Interactions
+
+**User**: I need a dashboard for sales data
+**Agent**: I'll create a sales dashboard layout.
+- Asks about key metrics to display
+- Suggests sidebar layout for navigation
+- Adds date range and category filters
+- Creates layout with `layout_create`
+- Adds filters with `layout_add_filter`
+- Returns complete layout structure
+
+**User**: Can you add a filter for product category?
+**Agent**:
+- Uses `layout_add_filter` with dropdown type
+- Specifies position and options
+- Returns updated layout
+
+## Error Handling
+
+If layout creation fails:
+1. Check if layout name already exists
+2. Validate template type
+3. Verify grid configuration values
+
+Common issues:
+- Invalid template → show valid options
+- Invalid filter type → list available types
+- Grid column count mismatch → suggest fixes

plugins/viz-platform/agents/theme-setup.md

@@ -0,0 +1,93 @@
+# Theme Setup Agent
+
+You are a design-focused theme setup specialist. Your role is to help users create consistent, brand-aligned themes for their Dash Mantine Components applications.
+
+## Trigger Conditions
+
+Activate this agent when:
+- User starts a new project and needs theme setup
+- User mentions brand colors, design system, or theming
+- User wants consistent styling across components
+- User asks about color schemes or typography
+
+## Capabilities
+
+- Create new themes with brand colors
+- Configure typography settings
+- Set up consistent spacing and radius
+- Validate theme configurations
+- Export themes as CSS for external use
+
+## Available Tools
+
+### Theme Management
+- `theme_create` - Create a new theme with design tokens
+- `theme_extend` - Extend an existing theme with overrides
+- `theme_validate` - Validate a theme configuration
+- `theme_export_css` - Export theme as CSS custom properties
+- `theme_list` - List available themes
+- `theme_activate` - Set the active theme
+
+## Workflow Guidelines
+
+1. **Understand the brand**:
+   - What colors represent the brand?
+   - Light mode, dark mode, or both?
+   - Any specific font preferences?
+   - Rounded or sharp corners?
+
+2. **Gather requirements**:
+   - Ask about primary brand color
+   - Ask about color scheme preference
+   - Ask about font family
+   - Ask about border radius preference
+
+3. **Create the theme**:
+   - Use `theme_create` with gathered preferences
+   - Validate with `theme_validate`
+   - Fix any issues
+
+4. **Verify and demonstrate**:
+   - Show the created theme settings
+   - Offer to export as CSS
+   - Activate the theme for immediate use
+
+## Conversation Style
+
+Be design-focused and ask about visual preferences:
+- "What's your brand's primary color? I can use any Mantine color like blue, indigo, violet, or a custom hex code."
+- "Do you prefer light mode, dark mode, or should the app follow system preference?"
+- "What corner style fits your brand better - rounded (friendly) or sharp (professional)?"
+
+## Example Interactions
+
+**User**: I need to set up theming for my dashboard
+**Agent**: I'll help you create a theme. Let me ask a few questions about your brand...
+- Uses AskUserQuestion for color preference
+- Uses AskUserQuestion for color scheme
+- Uses theme_create with answers
+- Uses theme_validate to verify
+- Activates the new theme
+
+**User**: Our brand uses #1890ff as the primary color
+**Agent**:
+- Creates custom color palette from the hex
+- Uses theme_create with custom colors
+- Validates and activates
+
+**User**: Can you export my theme as CSS?
+**Agent**:
+- Uses theme_export_css
+- Returns CSS custom properties
+
+## Error Handling
+
+If validation fails:
+1. Show the specific errors clearly
+2. Suggest fixes based on the error
+3. Offer to recreate with corrections
+
+Common issues:
+- Invalid color names → suggest valid Mantine colors
+- Invalid enum values → show allowed options
+- Missing required fields → provide defaults

plugins/viz-platform/claude-md-integration.md

@@ -0,0 +1,144 @@
+# viz-platform CLAUDE.md Integration
+
+Add this snippet to your project's CLAUDE.md to enable viz-platform capabilities.
+
+## Integration Snippet
+
+```markdown
+## Visualization (viz-platform)
+
+This project uses viz-platform for Dash Mantine Components dashboards.
+
+### Available Commands
+- `/component {name}` - Inspect DMC component props
+- `/chart {type}` - Create Plotly charts (line, bar, scatter, pie, area, histogram, box, heatmap, sunburst, treemap)
+- `/dashboard {template}` - Create layouts (basic, sidebar, tabs, split)
+- `/theme {name}` - Apply a theme
+- `/theme-new {name}` - Create custom theme
+- `/theme-css {name}` - Export theme as CSS
+
+### MCP Tools Available
+- **DMC**: list_components, get_component_props, validate_component
+- **Charts**: chart_create, chart_configure_interaction
+- **Layouts**: layout_create, layout_add_filter, layout_set_grid, layout_add_section, layout_get
+- **Themes**: theme_create, theme_extend, theme_validate, theme_export_css, theme_list, theme_activate
+- **Pages**: page_create, page_add_navbar, page_set_auth, page_list, page_get_app_config
+
+### Component Validation
+ALWAYS validate DMC components before use:
+1. Check props with `get_component_props(component_name)`
+2. Validate usage with `validate_component(component_name, props)`
+3. Fix any errors before proceeding
+
+### Project Theme
+Theme: [YOUR_THEME_NAME or "default"]
+Color scheme: [light/dark]
+Primary color: [color name]
+```
+
+## Cross-Plugin Configuration
+
+If using with data-platform, add this section:
+
+```markdown
+## Data + Visualization Workflow
+
+### Data Loading (data-platform)
+- `/ingest {file}` - Load CSV, Parquet, or JSON
+- `/schema {table}` - View database schema
+- `/profile {data_ref}` - Statistical summary
+
+### Visualization (viz-platform)
+- `/chart {type}` - Create charts from loaded data
+- `/dashboard {template}` - Build dashboard layouts
+
+### Workflow Pattern
+1. Load data: `read_csv("data.csv")` → returns `data_ref`
+2. Create chart: `chart_create(data_ref="data_ref", ...)`
+3. Add to layout: `layout_add_section(chart_ref="...")`
+4. Apply theme: `theme_activate("my-theme")`
+```
+
+## Agent Configuration
+
+### Using theme-setup agent
+
+When user mentions theming or brand colors:
+```markdown
+Use the theme-setup agent for:
+- Creating new themes with brand colors
+- Configuring typography and spacing
+- Exporting themes as CSS
+```
+
+### Using layout-builder agent
+
+When user wants dashboard structure:
+```markdown
+Use the layout-builder agent for:
+- Creating dashboard layouts
+- Adding filter components
+- Configuring responsive grids
+```
+
+### Using component-check agent
+
+For code review and debugging:
+```markdown
+Use the component-check agent for:
+- Validating DMC component usage
+- Fixing prop errors
+- Understanding component APIs
+```
+
+## Example Project CLAUDE.md
+
+```markdown
+# Project: Sales Dashboard
+
+## Tech Stack
+- Backend: FastAPI
+- Frontend: Dash with Mantine Components
+- Data: PostgreSQL + pandas
+
+## Data (data-platform)
+- Database: PostgreSQL with sales data
+- Key tables: orders, customers, products
+
+## Visualization (viz-platform)
+- Theme: corporate (indigo primary, light mode)
+- Layout: sidebar with date and category filters
+- Charts: line (trends), bar (comparisons), pie (breakdown)
+
+### Component Validation
+ALWAYS use component-check before rendering:
+- get_component_props first
+- validate_component after
+
+### Dashboard Structure
+```
+Sidebar: Navigation links
+Header: Title + date range filter
+Main:
+  - Row 1: KPI cards
+  - Row 2: Line chart (sales over time)
+  - Row 3: Bar chart (by category) + Pie chart (by region)
+```
+```
+
+## Troubleshooting
+
+### MCP tools not available
+1. Check venv exists: `ls mcp-servers/viz-platform/.venv/`
+2. Rebuild if needed: `cd mcp-servers/viz-platform && python -m venv .venv && pip install -r requirements.txt`
+3. Restart Claude Code session
+
+### Component validation fails
+1. Check DMC version matches registry
+2. Use `list_components()` to see available components
+3. Verify prop names are camelCase
+
+### Charts not rendering
+1. Verify data_ref exists with `list_data()`
+2. Check column names match data
+3. Validate theme is active

plugins/viz-platform/commands/chart.md

@@ -0,0 +1,86 @@
+---
+description: Create a Plotly chart with theme integration
+---
+
+# Create Chart
+
+Create a Plotly chart with automatic theme token application.
+
+## Usage
+
+```
+/chart {type}
+```
+
+## Arguments
+
+- `type` (required): Chart type - one of: line, bar, scatter, pie, area, histogram, box, heatmap, sunburst, treemap
+
+## Examples
+
+```
+/chart line
+/chart bar
+/chart scatter
+/chart pie
+```
+
+## Tool Mapping
+
+This command uses the `chart_create` MCP tool:
+
+```python
+chart_create(
+    chart_type="line",
+    data_ref="df_sales",          # Reference to loaded DataFrame
+    x="date",                      # X-axis column
+    y="revenue",                   # Y-axis column
+    color=None,                    # Optional: column for color grouping
+    title="Sales Over Time",       # Optional: chart title
+    theme=None                     # Optional: theme name to apply
+)
+```
+
+## Workflow
+
+1. **User invokes**: `/chart line`
+2. **Agent asks**: Which DataFrame to use? (list available with `list_data` from data-platform)
+3. **Agent asks**: Which columns for X and Y axes?
+4. **Agent asks**: Any grouping/color column?
+5. **Agent creates**: Chart with `chart_create` tool
+6. **Agent returns**: Plotly figure JSON ready for rendering
+
+## Chart Types
+
+| Type | Best For |
+|------|----------|
+| `line` | Time series, trends |
+| `bar` | Comparisons, categories |
+| `scatter` | Correlations, distributions |
+| `pie` | Part-to-whole relationships |
+| `area` | Cumulative trends |
+| `histogram` | Frequency distributions |
+| `box` | Statistical distributions |
+| `heatmap` | Matrix correlations |
+| `sunburst` | Hierarchical data |
+| `treemap` | Hierarchical proportions |
+
+## Theme Integration
+
+Charts automatically inherit colors from the active theme:
+- Primary color for main data
+- Color palette for multi-series
+- Font family and sizes
+- Background colors
+
+Override with explicit theme:
+```python
+chart_create(chart_type="bar", ..., theme="my-dark-theme")
+```
+
+## Output
+
+Returns Plotly figure JSON that can be:
+- Rendered in a Dash app
+- Saved as HTML/PNG
+- Embedded in a layout component

plugins/viz-platform/commands/component.md

@@ -0,0 +1,161 @@
+---
+description: Inspect Dash Mantine Component props and validation
+---
+
+# Inspect Component
+
+Inspect a Dash Mantine Component's available props, types, and defaults.
+
+## Usage
+
+```
+/component {name}
+```
+
+## Arguments
+
+- `name` (required): DMC component name (e.g., Button, Card, TextInput)
+
+## Examples
+
+```
+/component Button
+/component TextInput
+/component Select
+/component Card
+```
+
+## Tool Mapping
+
+This command uses the `get_component_props` MCP tool:
+
+```python
+get_component_props(component="Button")
+```
+
+## Output Example
+
+```json
+{
+  "component": "Button",
+  "category": "inputs",
+  "props": {
+    "children": {
+      "type": "any",
+      "required": false,
+      "description": "Button content"
+    },
+    "variant": {
+      "type": "string",
+      "enum": ["filled", "outline", "light", "subtle", "default", "gradient"],
+      "default": "filled",
+      "description": "Button appearance variant"
+    },
+    "color": {
+      "type": "string",
+      "default": "blue",
+      "description": "Button color from theme"
+    },
+    "size": {
+      "type": "string",
+      "enum": ["xs", "sm", "md", "lg", "xl"],
+      "default": "sm",
+      "description": "Button size"
+    },
+    "radius": {
+      "type": "string",
+      "enum": ["xs", "sm", "md", "lg", "xl"],
+      "default": "sm",
+      "description": "Border radius"
+    },
+    "disabled": {
+      "type": "boolean",
+      "default": false,
+      "description": "Disable button"
+    },
+    "loading": {
+      "type": "boolean",
+      "default": false,
+      "description": "Show loading indicator"
+    },
+    "fullWidth": {
+      "type": "boolean",
+      "default": false,
+      "description": "Button takes full width"
+    }
+  }
+}
+```
+
+## Listing All Components
+
+To see all available components:
+
+```python
+list_components(category=None)  # All components
+list_components(category="inputs")  # Just input components
+```
+
+### Component Categories
+
+| Category | Components |
+|----------|------------|
+| `inputs` | Button, TextInput, Select, Checkbox, Radio, Switch, Slider, etc. |
+| `navigation` | NavLink, Tabs, Breadcrumbs, Pagination, Stepper |
+| `feedback` | Alert, Notification, Progress, Loader, Skeleton |
+| `overlays` | Modal, Drawer, Tooltip, Popover, Menu |
+| `typography` | Text, Title, Code, Blockquote, List |
+| `layout` | Container, Grid, Stack, Group, Space, Divider |
+| `data` | Table, Badge, Card, Paper, Timeline |
+
+## Validating Component Usage
+
+After inspecting props, validate your usage:
+
+```python
+validate_component(
+    component="Button",
+    props={
+        "variant": "filled",
+        "color": "blue",
+        "size": "lg",
+        "children": "Click me"
+    }
+)
+```
+
+Returns:
+```json
+{
+  "valid": true,
+  "errors": [],
+  "warnings": []
+}
+```
+
+Or with errors:
+```json
+{
+  "valid": false,
+  "errors": [
+    "Invalid prop 'colour' for Button. Did you mean 'color'?",
+    "Prop 'size' expects one of ['xs', 'sm', 'md', 'lg', 'xl'], got 'huge'"
+  ],
+  "warnings": [
+    "Prop 'fullwidth' should be 'fullWidth' (camelCase)"
+  ]
+}
+```
+
+## Why This Matters
+
+DMC components have many props with specific type constraints. This tool:
+- Prevents hallucinated prop names
+- Validates enum values
+- Catches typos before runtime
+- Documents available options
+
+## Related Commands
+
+- `/chart {type}` - Create charts
+- `/dashboard {template}` - Create layouts

plugins/viz-platform/commands/dashboard.md

@@ -0,0 +1,115 @@
+---
+description: Create a dashboard layout with the layout-builder agent
+---
+
+# Create Dashboard
+
+Create a dashboard layout structure with filters, grids, and sections.
+
+## Usage
+
+```
+/dashboard {template}
+```
+
+## Arguments
+
+- `template` (optional): Layout template - one of: basic, sidebar, tabs, split
+
+## Examples
+
+```
+/dashboard              # Interactive layout builder
+/dashboard basic        # Simple single-column layout
+/dashboard sidebar      # Layout with sidebar navigation
+/dashboard tabs         # Tabbed multi-page layout
+/dashboard split        # Split-pane layout
+```
+
+## Agent Mapping
+
+This command activates the **layout-builder** agent which orchestrates multiple tools:
+
+1. `layout_create` - Create the base layout structure
+2. `layout_add_filter` - Add filter components (dropdowns, date pickers)
+3. `layout_set_grid` - Configure responsive grid settings
+4. `layout_add_section` - Add content sections
+
+## Workflow
+
+1. **User invokes**: `/dashboard sidebar`
+2. **Agent asks**: What is the dashboard purpose?
+3. **Agent asks**: What filters are needed?
+4. **Agent creates**: Base layout with `layout_create`
+5. **Agent adds**: Filters with `layout_add_filter`
+6. **Agent configures**: Grid with `layout_set_grid`
+7. **Agent returns**: Complete layout structure
+
+## Templates
+
+### Basic
+Single-column layout with header and content area.
+```
+┌─────────────────────────────┐
+│          Header             │
+├─────────────────────────────┤
+│                             │
+│          Content            │
+│                             │
+└─────────────────────────────┘
+```
+
+### Sidebar
+Layout with collapsible sidebar navigation.
+```
+┌────────┬────────────────────┐
+│        │       Header       │
+│  Nav   ├────────────────────┤
+│        │                    │
+│        │      Content       │
+│        │                    │
+└────────┴────────────────────┘
+```
+
+### Tabs
+Tabbed layout for multi-page dashboards.
+```
+┌─────────────────────────────┐
+│          Header             │
+├──────┬──────┬──────┬────────┤
+│ Tab1 │ Tab2 │ Tab3 │        │
+├──────┴──────┴──────┴────────┤
+│                             │
+│       Tab Content           │
+│                             │
+└─────────────────────────────┘
+```
+
+### Split
+Split-pane layout for comparisons.
+```
+┌─────────────────────────────┐
+│          Header             │
+├──────────────┬──────────────┤
+│              │              │
+│    Left      │    Right     │
+│    Pane      │    Pane      │
+│              │              │
+└──────────────┴──────────────┘
+```
+
+## Filter Types
+
+Available filter components:
+- `dropdown` - Single/multi-select dropdown
+- `date_range` - Date range picker
+- `slider` - Numeric range slider
+- `checkbox` - Checkbox group
+- `search` - Text search input
+
+## Output
+
+Returns a layout structure that can be:
+- Used with page tools to create full app
+- Rendered as a Dash layout
+- Combined with chart components

plugins/viz-platform/commands/initial-setup.md

@@ -0,0 +1,166 @@
+---
+description: Interactive setup wizard for viz-platform plugin - configures MCP server and theme preferences
+---
+
+# Viz-Platform Setup Wizard
+
+This command sets up the viz-platform plugin with Dash Mantine Components validation and theming.
+
+## Important Context
+
+- **This command uses Bash, Read, Write, and AskUserQuestion tools** - NOT MCP tools
+- **MCP tools won't work until after setup + session restart**
+- **DMC version detection is automatic** based on installed package
+
+---
+
+## Phase 1: Environment Validation
+
+### Step 1.1: Check Python Version
+
+```bash
+python3 --version
+```
+
+Requires Python 3.10+. If below, stop setup and inform user.
+
+### Step 1.2: Check DMC Installation
+
+```bash
+python3 -c "import dash_mantine_components as dmc; print(f'DMC {dmc.__version__}')" 2>/dev/null || echo "DMC_NOT_INSTALLED"
+```
+
+If DMC is not installed, inform user:
+```
+Dash Mantine Components is not installed. Install it with:
+  pip install dash-mantine-components>=0.14.0
+```
+
+---
+
+## Phase 2: MCP Server Setup
+
+### Step 2.1: Locate Viz-Platform MCP Server
+
+```bash
+# If running from installed marketplace
+ls -la ~/.claude/plugins/marketplaces/leo-claude-mktplace/mcp-servers/viz-platform/ 2>/dev/null || echo "NOT_FOUND_INSTALLED"
+
+# If running from source
+ls -la ~/claude-plugins-work/mcp-servers/viz-platform/ 2>/dev/null || echo "NOT_FOUND_SOURCE"
+```
+
+### Step 2.2: Check Virtual Environment
+
+```bash
+ls -la /path/to/mcp-servers/viz-platform/.venv/bin/python 2>/dev/null && echo "VENV_EXISTS" || echo "VENV_MISSING"
+```
+
+### Step 2.3: Create Virtual Environment (if missing)
+
+```bash
+cd /path/to/mcp-servers/viz-platform && python3 -m venv .venv && source .venv/bin/activate && pip install --upgrade pip && pip install -r requirements.txt && deactivate
+```
+
+---
+
+## Phase 3: Theme Preferences (Optional)
+
+### Step 3.1: Ask About Theme Setup
+
+Use AskUserQuestion:
+- Question: "Do you want to configure a default theme for your projects?"
+- Header: "Theme"
+- Options:
+  - "Yes, set up a custom theme"
+  - "No, use Mantine defaults"
+
+**If user chooses "No":** Skip to Phase 4.
+
+### Step 3.2: Choose Base Theme
+
+Use AskUserQuestion:
+- Question: "Which base color scheme do you prefer?"
+- Header: "Colors"
+- Options:
+  - "Light mode (default)"
+  - "Dark mode"
+  - "System preference (auto)"
+
+### Step 3.3: Choose Primary Color
+
+Use AskUserQuestion:
+- Question: "What primary color should be used for buttons and accents?"
+- Header: "Primary"
+- Options:
+  - "Blue (default)"
+  - "Indigo"
+  - "Violet"
+  - "Other (I'll specify)"
+
+### Step 3.4: Create System Theme Config
+
+```bash
+mkdir -p ~/.config/claude
+cat > ~/.config/claude/viz-platform.env << 'EOF'
+# Viz-Platform Configuration
+# Generated by viz-platform /initial-setup
+
+VIZ_PLATFORM_COLOR_SCHEME=<SELECTED_SCHEME>
+VIZ_PLATFORM_PRIMARY_COLOR=<SELECTED_COLOR>
+EOF
+chmod 600 ~/.config/claude/viz-platform.env
+```
+
+---
+
+## Phase 4: Validation
+
+### Step 4.1: Verify MCP Server
+
+```bash
+cd /path/to/mcp-servers/viz-platform && .venv/bin/python -c "from mcp_server.server import VizPlatformMCPServer; print('MCP Server OK')"
+```
+
+### Step 4.2: Summary
+
+```
+╔════════════════════════════════════════════════════════════╗
+║            VIZ-PLATFORM SETUP COMPLETE                     ║
+╠════════════════════════════════════════════════════════════╣
+║ MCP Server:        ✓ Ready                                 ║
+║ DMC Version:       [Detected version]                      ║
+║ DMC Tools:         ✓ Available (3 tools)                   ║
+║ Chart Tools:       ✓ Available (2 tools)                   ║
+║ Layout Tools:      ✓ Available (5 tools)                   ║
+║ Theme Tools:       ✓ Available (6 tools)                   ║
+║ Page Tools:        ✓ Available (5 tools)                   ║
+╚════════════════════════════════════════════════════════════╝
+```
+
+### Step 4.3: Session Restart Notice
+
+---
+
+**⚠️ Session Restart Required**
+
+Restart your Claude Code session for MCP tools to become available.
+
+**After restart, you can:**
+- Run `/component {name}` to inspect component props
+- Run `/chart {type}` to create a chart
+- Run `/dashboard {template}` to create a dashboard layout
+- Run `/theme {name}` to apply a theme
+- Run `/theme-new {name}` to create a custom theme
+
+---
+
+## Tool Summary
+
+| Category | Tools |
+|----------|-------|
+| DMC Validation | list_components, get_component_props, validate_component |
+| Charts | chart_create, chart_configure_interaction |
+| Layouts | layout_create, layout_add_filter, layout_set_grid, layout_get, layout_add_section |
+| Themes | theme_create, theme_extend, theme_validate, theme_export_css, theme_list, theme_activate |
+| Pages | page_create, page_add_navbar, page_set_auth, page_list, page_get_app_config |

plugins/viz-platform/commands/theme-css.md

@@ -0,0 +1,111 @@
+---
+description: Export a theme as CSS custom properties
+---
+
+# Export Theme as CSS
+
+Export a theme's design tokens as CSS custom properties for use outside Dash.
+
+## Usage
+
+```
+/theme-css {name}
+```
+
+## Arguments
+
+- `name` (required): Theme name to export
+
+## Examples
+
+```
+/theme-css dark
+/theme-css corporate
+/theme-css my-brand
+```
+
+## Tool Mapping
+
+This command uses the `theme_export_css` MCP tool:
+
+```python
+theme_export_css(theme_name="corporate")
+```
+
+## Output Example
+
+```css
+:root {
+  /* Colors */
+  --mantine-color-scheme: light;
+  --mantine-primary-color: indigo;
+  --mantine-color-primary-0: #edf2ff;
+  --mantine-color-primary-1: #dbe4ff;
+  --mantine-color-primary-2: #bac8ff;
+  --mantine-color-primary-3: #91a7ff;
+  --mantine-color-primary-4: #748ffc;
+  --mantine-color-primary-5: #5c7cfa;
+  --mantine-color-primary-6: #4c6ef5;
+  --mantine-color-primary-7: #4263eb;
+  --mantine-color-primary-8: #3b5bdb;
+  --mantine-color-primary-9: #364fc7;
+
+  /* Typography */
+  --mantine-font-family: Inter, sans-serif;
+  --mantine-heading-font-family: Inter, sans-serif;
+  --mantine-font-size-xs: 0.75rem;
+  --mantine-font-size-sm: 0.875rem;
+  --mantine-font-size-md: 1rem;
+  --mantine-font-size-lg: 1.125rem;
+  --mantine-font-size-xl: 1.25rem;
+
+  /* Spacing */
+  --mantine-spacing-xs: 0.625rem;
+  --mantine-spacing-sm: 0.75rem;
+  --mantine-spacing-md: 1rem;
+  --mantine-spacing-lg: 1.25rem;
+  --mantine-spacing-xl: 2rem;
+
+  /* Border Radius */
+  --mantine-radius-xs: 0.125rem;
+  --mantine-radius-sm: 0.25rem;
+  --mantine-radius-md: 0.5rem;
+  --mantine-radius-lg: 1rem;
+  --mantine-radius-xl: 2rem;
+
+  /* Shadows */
+  --mantine-shadow-xs: 0 1px 3px rgba(0, 0, 0, 0.05);
+  --mantine-shadow-sm: 0 1px 3px rgba(0, 0, 0, 0.1);
+  --mantine-shadow-md: 0 4px 6px rgba(0, 0, 0, 0.1);
+  --mantine-shadow-lg: 0 10px 15px rgba(0, 0, 0, 0.1);
+  --mantine-shadow-xl: 0 20px 25px rgba(0, 0, 0, 0.1);
+}
+```
+
+## Use Cases
+
+### External CSS Files
+Include the exported CSS in non-Dash projects:
+```html
+<link rel="stylesheet" href="theme-tokens.css">
+```
+
+### Design Handoff
+Share design tokens with designers or other teams.
+
+### Documentation
+Generate theme documentation for style guides.
+
+### Other Frameworks
+Use Mantine-compatible tokens in React, Vue, or other projects.
+
+## Workflow
+
+1. **User invokes**: `/theme-css corporate`
+2. **Tool exports**: Theme tokens as CSS
+3. **User can**: Save to file or copy to clipboard
+
+## Related Commands
+
+- `/theme {name}` - Apply a theme
+- `/theme-new {name}` - Create a new theme

plugins/viz-platform/commands/theme-new.md

@@ -0,0 +1,117 @@
+---
+description: Create a new custom theme with design tokens
+---
+
+# Create New Theme
+
+Create a new custom theme with specified design tokens.
+
+## Usage
+
+```
+/theme-new {name}
+```
+
+## Arguments
+
+- `name` (required): Name for the new theme
+
+## Examples
+
+```
+/theme-new corporate
+/theme-new dark-blue
+/theme-new brand-theme
+```
+
+## Tool Mapping
+
+This command uses the `theme_create` MCP tool:
+
+```python
+theme_create(
+    name="corporate",
+    primary_color="indigo",
+    color_scheme="light",
+    font_family="Inter, sans-serif",
+    heading_font_family=None,        # Optional: separate heading font
+    border_radius="md",              # xs, sm, md, lg, xl
+    spacing_scale=1.0,               # Multiplier for spacing
+    colors=None                      # Optional: custom color palette
+)
+```
+
+## Workflow
+
+1. **User invokes**: `/theme-new corporate`
+2. **Agent asks**: Primary color preference?
+3. **Agent asks**: Light or dark color scheme?
+4. **Agent asks**: Font family preference?
+5. **Agent creates**: Theme with `theme_create`
+6. **Agent validates**: Theme with `theme_validate`
+7. **Agent activates**: New theme is ready to use
+
+## Theme Properties
+
+### Colors
+- `primary_color`: Main accent color (blue, indigo, violet, etc.)
+- `color_scheme`: "light" or "dark"
+- `colors`: Custom color palette override
+
+### Typography
+- `font_family`: Body text font
+- `heading_font_family`: Optional heading font
+
+### Spacing
+- `border_radius`: Component corner rounding
+- `spacing_scale`: Multiply default spacing values
+
+## Mantine Color Palette
+
+Available primary colors:
+- blue, cyan, teal, green, lime
+- yellow, orange, red, pink, grape
+- violet, indigo, gray, dark
+
+## Custom Color Example
+
+```python
+theme_create(
+    name="brand",
+    primary_color="custom",
+    colors={
+        "custom": [
+            "#e6f7ff",  # 0 - lightest
+            "#bae7ff",  # 1
+            "#91d5ff",  # 2
+            "#69c0ff",  # 3
+            "#40a9ff",  # 4
+            "#1890ff",  # 5 - primary
+            "#096dd9",  # 6
+            "#0050b3",  # 7
+            "#003a8c",  # 8
+            "#002766"   # 9 - darkest
+        ]
+    }
+)
+```
+
+## Extending Themes
+
+To create a theme based on another:
+
+```python
+theme_extend(
+    base_theme="dark",
+    name="dark-corporate",
+    overrides={
+        "primary_color": "indigo",
+        "font_family": "Roboto, sans-serif"
+    }
+)
+```
+
+## Related Commands
+
+- `/theme {name}` - Apply a theme
+- `/theme-css {name}` - Export theme as CSS

plugins/viz-platform/commands/theme.md

@@ -0,0 +1,69 @@
+---
+description: Apply an existing theme to the current context
+---
+
+# Apply Theme
+
+Apply an existing theme to activate its design tokens.
+
+## Usage
+
+```
+/theme {name}
+```
+
+## Arguments
+
+- `name` (required): Theme name to activate
+
+## Examples
+
+```
+/theme dark
+/theme corporate-blue
+/theme my-custom-theme
+```
+
+## Tool Mapping
+
+This command uses the `theme_activate` MCP tool:
+
+```python
+theme_activate(theme_name="dark")
+```
+
+## Workflow
+
+1. **User invokes**: `/theme dark`
+2. **Tool activates**: Theme becomes active for subsequent operations
+3. **Charts/layouts**: Automatically use active theme tokens
+
+## Built-in Themes
+
+| Theme | Description |
+|-------|-------------|
+| `light` | Mantine default light mode |
+| `dark` | Mantine default dark mode |
+
+## Listing Available Themes
+
+To see all available themes:
+
+```python
+theme_list()
+```
+
+Returns both built-in and custom themes.
+
+## Theme Effects
+
+When a theme is activated:
+- New charts inherit theme colors
+- New layouts use theme spacing
+- Components use theme typography
+- Callbacks can read active theme tokens
+
+## Related Commands
+
+- `/theme-new {name}` - Create a new theme
+- `/theme-css {name}` - Export theme as CSS

plugins/viz-platform/hooks/hooks.json

@@ -0,0 +1,10 @@
+{
+  "hooks": [
+    {
+      "event": "SessionStart",
+      "type": "command",
+      "command": "echo 'viz-platform plugin loaded'",
+      "timeout": 5000
+    }
+  ]
+}

plugins/viz-platform/mcp-servers/.doc-guardian-queue

@@ -0,0 +1 @@
+2026-01-26T11:59:05 | .claude-plugin | /home/lmiranda/claude-plugins-work/.claude-plugin/marketplace.json | CLAUDE.md .claude-plugin/marketplace.json

plugins/viz-platform/mcp-servers/viz-platform

@@ -0,0 +1 @@
+../../../mcp-servers/viz-platform

scripts/post-update.sh

@@ -67,6 +67,7 @@ main() {
     # Shared MCP servers at repository root (v3.0.0+)
     update_mcp_server "gitea"
     update_mcp_server "netbox"
+    update_mcp_server "data-platform"
 
     check_changelog
 

scripts/release.sh

@@ -0,0 +1,172 @@
+#!/bin/bash
+# release.sh - Create a new release with version consistency
+#
+# Usage: ./scripts/release.sh X.Y.Z
+#
+# This script ensures all version references are updated consistently:
+# 1. CHANGELOG.md - [Unreleased] becomes [X.Y.Z] - YYYY-MM-DD
+# 2. README.md - Title updated to vX.Y.Z
+# 3. marketplace.json - version field updated
+# 4. Git commit and tag created
+#
+# Prerequisites:
+# - Clean working directory (no uncommitted changes)
+# - [Unreleased] section in CHANGELOG.md with content
+# - On development branch
+
+set -e
+
+VERSION=$1
+DATE=$(date +%Y-%m-%d)
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color
+
+error() { echo -e "${RED}ERROR: $1${NC}" >&2; exit 1; }
+warn() { echo -e "${YELLOW}WARNING: $1${NC}"; }
+success() { echo -e "${GREEN}$1${NC}"; }
+info() { echo -e "$1"; }
+
+# Validate arguments
+if [ -z "$VERSION" ]; then
+    echo "Usage: ./scripts/release.sh X.Y.Z"
+    echo ""
+    echo "Example: ./scripts/release.sh 3.2.0"
+    echo ""
+    echo "This will:"
+    echo "  1. Update CHANGELOG.md [Unreleased] -> [X.Y.Z] - $(date +%Y-%m-%d)"
+    echo "  2. Update README.md title to vX.Y.Z"
+    echo "  3. Update marketplace.json version to X.Y.Z"
+    echo "  4. Commit with message 'chore: release vX.Y.Z'"
+    echo "  5. Create git tag vX.Y.Z"
+    exit 1
+fi
+
+# Validate version format
+if ! [[ "$VERSION" =~ ^[0-9]+\.[0-9]+\.[0-9]+$ ]]; then
+    error "Invalid version format. Use X.Y.Z (e.g., 3.2.0)"
+fi
+
+# Check we're in the right directory
+if [ ! -f "CHANGELOG.md" ] || [ ! -f "README.md" ] || [ ! -f ".claude-plugin/marketplace.json" ]; then
+    error "Must run from repository root (CHANGELOG.md, README.md, .claude-plugin/marketplace.json must exist)"
+fi
+
+# Check for clean working directory
+if [ -n "$(git status --porcelain)" ]; then
+    warn "Working directory has uncommitted changes"
+    echo ""
+    git status --short
+    echo ""
+    read -p "Continue anyway? [y/N] " -n 1 -r
+    echo
+    if [[ ! $REPLY =~ ^[Yy]$ ]]; then
+        exit 1
+    fi
+fi
+
+# Check current branch
+BRANCH=$(git branch --show-current)
+if [ "$BRANCH" != "development" ] && [ "$BRANCH" != "main" ]; then
+    warn "Not on development or main branch (current: $BRANCH)"
+    read -p "Continue anyway? [y/N] " -n 1 -r
+    echo
+    if [[ ! $REPLY =~ ^[Yy]$ ]]; then
+        exit 1
+    fi
+fi
+
+# Check [Unreleased] section has content
+if ! grep -q "## \[Unreleased\]" CHANGELOG.md; then
+    error "CHANGELOG.md missing [Unreleased] section"
+fi
+
+# Check if tag already exists
+if git tag -l | grep -q "^v$VERSION$"; then
+    error "Tag v$VERSION already exists"
+fi
+
+info ""
+info "=== Release v$VERSION ==="
+info ""
+
+# Show what will change
+info "Changes to be made:"
+info "  CHANGELOG.md: [Unreleased] -> [$VERSION] - $DATE"
+info "  README.md: title -> v$VERSION"
+info "  marketplace.json: version -> $VERSION"
+info "  Git: commit + tag v$VERSION"
+info ""
+
+# Preview CHANGELOG [Unreleased] content
+info "Current [Unreleased] content:"
+info "---"
+sed -n '/^## \[Unreleased\]/,/^## \[/p' CHANGELOG.md | head -30
+info "---"
+info ""
+
+read -p "Proceed with release? [y/N] " -n 1 -r
+echo
+if [[ ! $REPLY =~ ^[Yy]$ ]]; then
+    info "Aborted"
+    exit 0
+fi
+
+info ""
+info "Updating files..."
+
+# 1. Update CHANGELOG.md
+# Replace [Unreleased] with [X.Y.Z] - DATE and add new [Unreleased] section
+sed -i "s/^## \[Unreleased\]$/## [Unreleased]\n\n*Changes staged for the next release*\n\n---\n\n## [$VERSION] - $DATE/" CHANGELOG.md
+
+# Remove the placeholder text if it exists after the new [Unreleased]
+sed -i '/^\*Changes staged for the next release\*$/d' CHANGELOG.md
+
+# Clean up any double blank lines
+sed -i '/^$/N;/^\n$/d' CHANGELOG.md
+
+success "  CHANGELOG.md updated"
+
+# 2. Update README.md title
+sed -i "s/^# Leo Claude Marketplace - v[0-9]\+\.[0-9]\+\.[0-9]\+$/# Leo Claude Marketplace - v$VERSION/" README.md
+success "  README.md updated"
+
+# 3. Update marketplace.json version
+sed -i "s/\"version\": \"[0-9]\+\.[0-9]\+\.[0-9]\+\"/\"version\": \"$VERSION\"/" .claude-plugin/marketplace.json
+success "  marketplace.json updated"
+
+info ""
+info "Files updated. Review changes:"
+info ""
+git diff --stat
+info ""
+git diff CHANGELOG.md | head -40
+info ""
+
+read -p "Commit and tag? [y/N] " -n 1 -r
+echo
+if [[ ! $REPLY =~ ^[Yy]$ ]]; then
+    warn "Changes made but not committed. Run 'git checkout -- .' to revert."
+    exit 0
+fi
+
+# Commit
+git add CHANGELOG.md README.md .claude-plugin/marketplace.json
+git commit -m "chore: release v$VERSION"
+success "  Committed"
+
+# Tag
+git tag "v$VERSION"
+success "  Tagged v$VERSION"
+
+info ""
+success "=== Release v$VERSION created ==="
+info ""
+info "Next steps:"
+info "  1. Review the commit: git show HEAD"
+info "  2. Push to remote: git push && git push --tags"
+info "  3. Merge to main if on development branch"
+info ""

scripts/setup.sh

@@ -116,6 +116,15 @@ verify_symlinks() {
         log_error "pr-review/gitea symlink missing"
         log_todo "Run: ln -s ../../../mcp-servers/gitea plugins/pr-review/mcp-servers/gitea"
     fi
+
+    # Check data-platform -> data-platform symlink
+    local dataplatform_link="$REPO_ROOT/plugins/data-platform/mcp-servers/data-platform"
+    if [[ -L "$dataplatform_link" ]]; then
+        log_success "data-platform symlink exists"
+    else
+        log_error "data-platform symlink missing"
+        log_todo "Run: ln -s ../../../mcp-servers/data-platform plugins/data-platform/mcp-servers/data-platform"
+    fi
 }
 
 # --- Section 3: Config File Templates ---
@@ -178,6 +187,22 @@ EOF
         chmod 600 "$config_dir/git-flow.env"
         log_success "git-flow.env template created"
     fi
+
+    # PostgreSQL config (for data-platform, optional)
+    if [[ -f "$config_dir/postgres.env" ]]; then
+        log_skip "postgres.env already exists"
+    else
+        cat > "$config_dir/postgres.env" << 'EOF'
+# PostgreSQL Configuration (for data-platform plugin)
+# Update with your PostgreSQL connection URL
+# This is OPTIONAL - pandas tools work without it
+
+POSTGRES_URL=postgresql://user:password@localhost:5432/database
+EOF
+        chmod 600 "$config_dir/postgres.env"
+        log_success "postgres.env template created"
+        log_todo "Edit ~/.config/claude/postgres.env with your PostgreSQL credentials (optional)"
+    fi
 }
 
 # --- Section 4: Validate Configuration ---
@@ -283,6 +308,7 @@ main() {
     # Shared MCP servers at repository root
     setup_shared_mcp "gitea"
     setup_shared_mcp "netbox"
+    setup_shared_mcp "data-platform"
 
     # Verify symlinks from plugins to shared MCP servers
     verify_symlinks

scripts/validate-marketplace.sh

@@ -168,6 +168,12 @@ if [[ ! -d "$ROOT_DIR/mcp-servers/netbox" ]]; then
 fi
 echo "✓ Shared netbox MCP server exists"
 
+if [[ ! -d "$ROOT_DIR/mcp-servers/data-platform" ]]; then
+    echo "ERROR: Shared data-platform MCP server not found at mcp-servers/data-platform/"
+    exit 1
+fi
+echo "✓ Shared data-platform MCP server exists"
+
 # Check symlinks for plugins that use MCP servers
 check_mcp_symlink() {
     local plugin_name="$1"
@@ -195,5 +201,8 @@ check_mcp_symlink "pr-review" "gitea"
 # Plugins with netbox MCP dependency
 check_mcp_symlink "cmdb-assistant" "netbox"
 
+# Plugins with data-platform MCP dependency
+check_mcp_symlink "data-platform" "data-platform"
+
 echo ""
 echo "=== All validations passed ==="

scripts/verify-hooks.sh

@@ -15,15 +15,15 @@ for f in $(find ~/.claude -name "hooks.json" 2>/dev/null); do
     fi
 done
 
-# Check cache specifically
+# Note about cache (informational only - do NOT clear mid-session)
 if [ -d ~/.claude/plugins/cache/leo-claude-mktplace ]; then
-    echo "❌ CACHE EXISTS: ~/.claude/plugins/cache/leo-claude-mktplace"
+    echo "ℹ️  Cache exists: ~/.claude/plugins/cache/leo-claude-mktplace"
-    echo "   Run: rm -rf ~/.claude/plugins/cache/leo-claude-mktplace/"
+    echo "   (This is normal - do NOT clear mid-session or MCP tools will break)"
-    FAILED=1
+    echo "   To apply plugin changes: restart Claude Code session"
 fi
 
 # Verify installed hooks are command type
-for plugin in doc-guardian code-sentinel projman pr-review project-hygiene; do
+for plugin in doc-guardian code-sentinel projman pr-review project-hygiene data-platform; do
     HOOK_FILE=~/.claude/plugins/marketplaces/leo-claude-mktplace/plugins/$plugin/hooks/hooks.json
     if [ -f "$HOOK_FILE" ]; then
         if grep -q '"type": "command"' "$HOOK_FILE" || grep -q '"type":"command"' "$HOOK_FILE"; then