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# YouTrack MCP Server Model Context Protocol (MCP) server for YouTrack integration. ## Installation ```bash pip install youtrack-mcp ``` ## Usage ### Using with uv ```json "youtrack-mcp": { "command": "uv", "args": [ "run", "youtrack-mcp" ], "env": { "YOUTRACK_URL": "https://your-instance.youtrack.cloud", "YOUTRACK_TOKEN": "your-token", "MCP_SERVER_NAME": "YouTrack MCP Server", "MCP_LOG_LEVEL": "INFO" } } ``` ## Environment Variables - `YOUTRACK_URL` - URL of your YouTrack instance - `YOUTRACK_TOKEN` - YouTrack API access token - `MCP_SERVER_NAME` - MCP server name - `MCP_LOG_LEVEL` - Logging level (DEBUG, INFO, WARNING, ERROR) ## License MIT ## Features - Issue search - Detailed issue information - Update issues (status, assignee, etc.) - Add comments to issues - Standardized interface via MCP Python SDK - Support for stdio and SSE transports - Integration with Claude Desktop and other MCP-compatible clients ## Requirements - Python 3.10 or higher - Access to YouTrack with API token - Installed MCP Python SDK ## Development Setup ### 1. Clone the repository ```bash git clone [repository-url] cd youtrack_mcp ``` ### 2. Install dependencies ```bash pip install -r requirements.txt ``` ### 3. Setup connection to YouTrack Create a `.env` file in the root directory of the project with the following variables: ``` YOUTRACK_URL=https://your-instance.youtrack.cloud YOUTRACK_TOKEN=your-permanent-token MCP_SERVER_NAME=YouTrack MCP Server MCP_LOG_LEVEL=INFO ``` Or specify these parameters when starting the server via command line arguments. ## Running MCP Server ### Development and debugging ```bash # Run in development mode with interactive web interface mcp dev server.py # With additional dependencies mcp dev server.py --with pandas --with numpy ``` ### Direct run ```bash # Run via MCP module python server.py # With additional parameters python server.py --youtrack-url https://…
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