git https://github.com/CodeByWaqas/MRConfluenceLinker-mcp-server.git
cd MRConfluenceLinker-mcp-server

python -m venv .venv
source .venv/bin/activate  # On Windows, use: .venv\Scripts\activate

pip install -r requirements.txt

uv add "mcp[cli]" python-gitlab python-dotenv atlassian-python-api requests

cp .env.example .env

GITLAB_URL=https://gitlab.com
GITLAB_TOKEN=your_gitlab_token
GITLAB_PROJECT_ID=your_project_id

# Optional Confluence integration
CONFLUENCE_URL=your_confluence_url
CONFLUENCE_USERNAME=your_username
CONFLUENCE_TOKEN=your_confluence_token
CONFLUENCE_SPACE=your_space_key

python src/MRConfluenceLinker-mcp-server/server.py

# claude_desktop_config.json
# Can find location through:
# Claude -> Settings -> Developer -> Edit Config
{
  "mcpServers": {
      "MRConfluenceLinker-mcp-server": {
          "command": "uv",
          "args": [
              "--directory",
              "//MRConfluenceLinker-mcp-server/src/MRConfluenceLinker-mcp-server",
              "run",
              "server.py"
          ]
      }
  }
}

2. The server will listen for commands through stdin/stdout. You can interact with it using prompts like:

## Available Tools

The server provides the following tools:

1. `fetch_mr_details`: Fetches details of a specific merge request or all merge requests
   - Parameters:
     - `project_id`: The GitLab project ID
     - `mr_id` (optional): Specific merge request ID

2. `analyze_code_changes`: Analyzes code changes in a merge request
   - Parameters:
     - `project_id`: The GitLab project ID
     - `mr_id`: The merge request ID to analyze

3. `store_in_confluence`: Stores analysis results in Confluence
   - Parameters:
     - `project_id`: The GitLab project ID
     - `mr_id` (optional): Specific merge request ID
     - `analysis` (optional): Analysis results to store

## Logging

The server generates detailed logs in `mcp_server.log` and outputs to stderr. This helps in debugging issues with:
- GitLab API access
- Confluence integration
- Code analysis
- Page creation and updates

## Error Handling

The server includes comprehensive error handling for:
- Missing environment variables
- API authentication issues
- Network connectivity problems
- Invalid project or merge request IDs
- Confluence permission issues

## Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## Support

For support, please [create an issue](https://github.com/CodeByWaqas/MRConfluenceLinker-mcp-server/issues) or contact the maintainers.

## Project Structure

### Key Components

- **Source Code**: Located in the `src/MRConfluenceLinker-mcp-server/` directory
  - `server.py`: Main MCP server implementation
  - `resources/client.py`: Client-side implementation contains GitLab PR integration

- **Configuration Files**:
  - `requirements.txt`: Python package dependencies
  - `pyproject.toml`: Project metadata and build configuration
  - `uv.lock`: Locked dependency versions
  - `.env.example`: Environment variables template

- **Documentation**:
  - `README.md`: Project overview and setup instructions
  - `CONTRIBUTING.md`: Contribution guidelines
  - `LICENSE`: Project license

- **Development**:
  - `__pycache__/`: Python cache files
  - `mcp_server.log`: Server logs for debugging