PyGithub MCP Server

# PyGithub MCP Server ## Overview The PyGithub MCP Server provides a bridge between AI assistants and the GitHub API through PyGithub and the Model Context Protocol. The implementation is complete and functional, with a focus on expanding capabilities and improving performance. ## Core Requirements 1. Stability and Reliability - Maintain robust GitHub API integration - Ensure consistent error handling - Optimize performance and resource usage - Handle rate limits effectively 2. Technical Excellence - Comprehensive test coverage - Advanced error recovery - Performance optimization - Scalable architecture 3. User Experience - Clear documentation - Helpful error messages - Easy setup process - Reliable operation ## Goals 1. Primary Goals - Expand test coverage and reliability - Optimize performance and resource usage - Improve documentation and examples - Add advanced features and capabilities 2. Secondary Goals - Implement GraphQL API support - Add webhook capabilities - Enable real-time updates - Improve monitoring and logging ## Success Criteria 1. Reliability - Comprehensive test coverage - Robust error handling - Efficient resource usage - Stable operation 2. Performance - Optimized API usage - Efficient caching - Fast response times - Minimal resource consumption 3. Usability - Clear documentation - Easy deployment - Helpful debugging - Smooth integration