# 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