generated from personal-projects/leo-claude-mktplace
Issue #19 - Foundation for Sprint 01: Core Architecture Correction Changes: - Renamed package directory: gitea_http_wrapper -> gitea_mcp_remote - Updated config/settings.py: - Made gitea_repo optional (allow None) - Added mcp_auth_mode field (default: "optional") - Changed HTTP defaults: 0.0.0.0:8080 (was 127.0.0.1:8000) - Removed get_gitea_mcp_env() method (no longer needed) - Updated all import paths throughout codebase - Updated filtering/filter.py: Changed ValueError to warning when both enabled_tools and disabled_tools are specified - Updated test files with new import paths - Updated test_filtering.py to test warning instead of ValueError - Updated pyproject.toml, pytest.ini, and README.md references All modules preserved - only import paths and configuration updated. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
366 lines
9.1 KiB
Markdown
366 lines
9.1 KiB
Markdown
# Gitea HTTP MCP Wrapper
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An HTTP transport wrapper around the official Gitea MCP server that enables AI assistants like Claude Desktop to interact with Gitea repositories via HTTP. This wrapper provides authentication, tool filtering, and HTTP transport while delegating Gitea operations to the official `gitea-mcp-server`.
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## Architecture
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This is NOT a standalone MCP server. It's an HTTP wrapper that:
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1. Wraps the official `gitea-mcp-server` (stdio transport)
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2. Provides HTTP transport for Claude Desktop compatibility
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3. Adds Bearer token authentication
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4. Filters tools for Claude Desktop compatibility
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5. Proxies requests between HTTP and stdio transport
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```
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Claude Desktop (HTTP) → HTTP Wrapper → Gitea MCP Server (stdio) → Gitea API
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```
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## Features
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- **HTTP Transport**: Exposes MCP server via HTTP for Claude Desktop
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- **Authentication**: Optional Bearer token authentication
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- **Tool Filtering**: Enable/disable specific tools for compatibility
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- **Docker Deployment**: Production-ready containerization
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- **Health Checks**: Monitoring endpoints (`/health`, `/healthz`, `/ping`)
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- **Async Architecture**: Built on Starlette and uvicorn
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## Requirements
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- Python >= 3.10
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- Official `gitea-mcp-server` package (auto-installed as dependency)
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- Gitea instance with API access
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- Gitea API token with appropriate permissions
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## Quick Start with Docker
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The easiest way to deploy is using Docker Compose:
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```bash
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# 1. Clone the repository
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git clone https://github.com/lmiranda/gitea-mcp-remote.git
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cd gitea-mcp-remote
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# 2. Create .env file from template
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cp .env.docker.example .env
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# 3. Edit .env with your Gitea credentials
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nano .env
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# 4. Start the server
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docker-compose up -d
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# 5. Check health
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curl http://localhost:8000/health
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```
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The server will be available at `http://localhost:8000`.
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See [DEPLOYMENT.md](DEPLOYMENT.md) for detailed deployment instructions.
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## Installation
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### Option 1: Docker (Recommended)
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See [Quick Start](#quick-start-with-docker) above or [DEPLOYMENT.md](DEPLOYMENT.md).
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### Option 2: From Source
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```bash
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# Clone the repository
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git clone https://github.com/lmiranda/gitea-mcp-remote.git
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cd gitea-mcp-remote
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# Install the wrapper and its dependencies (including gitea-mcp-server)
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pip install -e .
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# Or use requirements.txt
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pip install -r requirements.txt
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```
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### For Development
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Install with development dependencies:
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```bash
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pip install -e ".[dev]"
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```
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## Configuration
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The wrapper uses environment variables or a `.env` file for configuration.
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### Required Configuration
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```bash
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# Gitea Instance
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GITEA_URL=https://gitea.example.com
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GITEA_TOKEN=your_gitea_api_token_here
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GITEA_OWNER=your_username_or_org
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GITEA_REPO=your_repo_name
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# HTTP Server
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HTTP_HOST=127.0.0.1 # Use 0.0.0.0 in Docker
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HTTP_PORT=8000
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```
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### Optional Configuration
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```bash
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# Bearer Authentication (optional but recommended)
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AUTH_TOKEN=your_secret_bearer_token
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# Tool Filtering (optional)
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ENABLED_TOOLS=list_issues,create_issue,update_issue # Whitelist mode
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# OR
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DISABLED_TOOLS=delete_issue,close_milestone # Blacklist mode
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```
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### Getting a Gitea API Token
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1. Log into your Gitea instance
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2. Navigate to Settings > Applications
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3. Under "Generate New Token", enter a name (e.g., "MCP Wrapper")
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4. Select appropriate permissions (minimum: read/write for repositories)
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5. Click "Generate Token" and copy the token
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6. Add the token to your `.env` file
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## Usage
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### Running the Server
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#### With Docker
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```bash
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docker-compose up -d
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```
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#### From Source
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```bash
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# Create .env file from template
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cp .env.example .env
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# Edit .env with your configuration
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nano .env
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# Run the server
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gitea-mcp-remote
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```
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The server will start on the configured host/port (default: `http://127.0.0.1:8000`).
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### HTTP Endpoints
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#### Health Check
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```bash
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GET /health
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GET /healthz
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GET /ping
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Response: {"status": "healthy"}
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```
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#### List Tools
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```bash
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POST /tools/list
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Response: {
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"tools": [
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{"name": "list_issues", "description": "...", "inputSchema": {...}},
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...
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]
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}
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```
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#### Call Tool
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```bash
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POST /tools/call
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Content-Type: application/json
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Authorization: Bearer YOUR_TOKEN # If auth enabled
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{
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"name": "list_issues",
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"arguments": {
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"owner": "myorg",
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"repo": "myrepo",
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"state": "open"
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}
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}
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```
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### With Claude Desktop
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Configure Claude Desktop to use the HTTP wrapper:
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**Location:**
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- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
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- Windows: `%APPDATA%\Claude\claude_desktop_config.json`
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- Linux: `~/.config/Claude/claude_desktop_config.json`
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**Configuration:**
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```json
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{
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"mcpServers": {
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"gitea": {
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"url": "http://localhost:8000",
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"headers": {
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"Authorization": "Bearer YOUR_TOKEN"
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}
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}
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}
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}
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```
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## Available Tools
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The wrapper exposes all tools from the official `gitea-mcp-server`. See the [official Gitea MCP documentation](https://github.com/modelcontextprotocol/servers/tree/main/src/gitea) for the complete list of available tools:
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- **Issues**: List, get, create, update issues
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- **Labels**: List, create labels
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- **Milestones**: List, create milestones
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Tool availability can be controlled via the `ENABLED_TOOLS` or `DISABLED_TOOLS` configuration.
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## Development
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### Setup Development Environment
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```bash
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# Install with development dependencies
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pip install -e ".[dev]"
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```
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### Running Tests
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```bash
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# Run all tests
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pytest
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# Run with coverage
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pytest --cov=gitea_mcp_remote
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# Run specific test file
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pytest src/gitea_mcp_remote/tests/test_config.py
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```
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### Project Structure
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```
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gitea-mcp-remote/
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├── src/
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│ └── gitea_mcp_remote/
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│ ├── __init__.py
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│ ├── server.py # Main HTTP server
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│ ├── config/
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│ │ ├── __init__.py
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│ │ └── settings.py # Configuration loader
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│ ├── middleware/
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│ │ ├── __init__.py
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│ │ └── auth.py # HTTP authentication
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│ ├── filtering/
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│ │ ├── __init__.py
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│ │ └── filter.py # Tool filtering
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│ └── tests/ # Test suite
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│ ├── conftest.py
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│ ├── test_config.py
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│ ├── test_filtering.py
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│ └── test_middleware.py
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├── Dockerfile # Docker image
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├── docker-compose.yml # Docker orchestration
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├── pyproject.toml # Project config
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├── requirements.txt # Dependencies
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├── .env.example # Config template
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├── .env.docker.example # Docker config template
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├── README.md # This file
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└── DEPLOYMENT.md # Deployment guide
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```
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## Deployment
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For production deployment instructions, see [DEPLOYMENT.md](DEPLOYMENT.md), which covers:
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- Docker deployment
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- Docker Compose orchestration
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- Security best practices
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- Monitoring and health checks
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- Scaling considerations
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- Cloud deployment (AWS, GCP, Azure)
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- Kubernetes deployment
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## Troubleshooting
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### Authentication Errors
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If you receive authentication errors:
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1. Verify your `GITEA_TOKEN` is correct
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2. Check that the token has appropriate permissions
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3. Ensure your `GITEA_URL` does NOT include `/api/v1` (wrapper adds it)
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4. Verify the Gitea instance is accessible from the wrapper's network
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### HTTP 401/403 Errors
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If Claude Desktop receives 401 or 403 errors:
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1. Check that `AUTH_TOKEN` is configured (if authentication is enabled)
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2. Verify Claude Desktop config includes the correct `Authorization` header
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3. Check server logs for authentication failures
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### Connection Errors
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If the wrapper cannot connect to Gitea:
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1. Check that `GITEA_URL` is correct and accessible
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2. Verify network connectivity to the Gitea instance
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3. Check for firewalls or proxies blocking the connection
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4. In Docker: Ensure the container can reach the Gitea host
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### gitea-mcp-server Not Found
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If the wrapper fails to start with "gitea-mcp-server not found":
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1. Verify `gitea-mcp-server` is installed: `pip list | grep gitea-mcp`
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2. Install it manually: `pip install gitea-mcp-server`
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3. In Docker: Rebuild the image
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### Tool Filtering Not Working
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If tool filtering is not applied:
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1. Check `.env` file syntax (no spaces around `=`)
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2. Verify comma-separated list format
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3. Check server logs for filter configuration
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4. Query `POST /tools/list` to see filtered tools
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## Security Considerations
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- **Always use HTTPS** in production (configure reverse proxy)
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- **Set AUTH_TOKEN** to secure the HTTP endpoint
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- **Rotate tokens regularly** (both Gitea token and auth token)
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- **Use secrets management** (not .env files) in production
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- **Limit network exposure** (firewall, VPN, or private network)
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- **Monitor access logs** for suspicious activity
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## Contributing
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Contributions are welcome! Please feel free to submit issues or pull requests.
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## License
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MIT License - see LICENSE file for details
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## Version
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Current version: 0.1.0
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## Author
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Leo Miranda
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## Links
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- Repository: https://github.com/lmiranda/gitea-mcp-remote
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- Issues: https://github.com/lmiranda/gitea-mcp-remote/issues
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- Official Gitea MCP Server: https://github.com/modelcontextprotocol/servers/tree/main/src/gitea
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- MCP Documentation: https://modelcontextprotocol.io
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