Add new data-platform plugin for data engineering workflows with: MCP Server (32 tools): - pandas operations (14 tools): read_csv, read_parquet, read_json, to_csv, to_parquet, describe, head, tail, filter, select, groupby, join, list_data, drop_data - PostgreSQL/PostGIS (10 tools): pg_connect, pg_query, pg_execute, pg_tables, pg_columns, pg_schemas, st_tables, st_geometry_type, st_srid, st_extent - dbt integration (8 tools): dbt_parse, dbt_run, dbt_test, dbt_build, dbt_compile, dbt_ls, dbt_docs_generate, dbt_lineage Plugin Features: - Arrow IPC data_ref system for DataFrame persistence across tool calls - Pre-execution validation for dbt with `dbt parse` - SessionStart hook for PostgreSQL connectivity check (non-blocking) - Hybrid configuration (system ~/.config/claude/postgres.env + project .env) - Memory management with 100k row limit and chunking support Commands: /initial-setup, /ingest, /profile, /schema, /explain, /lineage, /run Agents: data-ingestion, data-analysis Test suite: 71 tests covering config, data store, pandas, postgres, dbt tools Addresses data workflow issues from personal-portfolio project: - Lost data after multiple interactions (solved by Arrow IPC data_ref) - dbt 1.9+ syntax deprecation (solved by pre-execution validation) - Ungraceful PostgreSQL error handling (solved by SessionStart hook) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
1.3 KiB
1.3 KiB
/run - Execute dbt Models
Run dbt models with automatic pre-validation.
Usage
/run [model_selection] [--full-refresh]
Workflow
-
Pre-validation (MANDATORY):
- Use
dbt_parseto validate project - Check for deprecated syntax (dbt 1.9+)
- If validation fails, show errors and STOP
- Use
-
Execute models:
- Use
dbt_runwith provided selection - Monitor progress and capture output
- Use
-
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 modelsdbt_build- Run + testdbt_test- Run tests only