Provides containerization support for deploying the GitHub stars analysis server in isolated environments.
Supports environment-based configuration through .env files for secure GitHub App credentials management.
Enables analysis of GitHub user starred repositories, providing insights into development trends, technology adoption patterns, and timeline tracking of starring activities.
Utilizes GitHub's GraphQL API for efficient data retrieval, enabling comprehensive analysis of GitHub stars and repository data.
Uses Pydantic for data validation and serialization when processing GitHub repository data and star information.
Supports testing the GitHub stars analysis functionality to ensure reliable data processing.
Built with Python 3.11+, providing a modern foundation with type hints for GitHub stars analysis and timeline tracking.
Implements Redis caching for frequently accessed data, optimizing performance when analyzing GitHub stars and repository information.
Incorporates Ruff for code linting to maintain high code quality in the GitHub stars analysis implementation.
GitHub Stars MCP Server
A high-performance Model Context Protocol (MCP) server for GitHub stars analysis and timeline tracking.
Overview
This MCP server provides tools for analyzing GitHub user starred repositories, offering insights into development trends, technology adoption patterns, and timeline analysis.
Features
- GitHub Stars Analysis: Retrieve and analyze user starred repositories
- Timeline Tracking: Track starring patterns over time
- Technology Insights: Analyze technology trends from starred repositories
- High Performance: Built with async/await patterns and Redis caching
- GitHub App Authentication: Secure authentication using GitHub Apps
Technology Stack
- Python 3.11+: Modern Python with type hints
- FastMCP 2.2.0+: High-performance MCP framework
- Pydantic 2.0+: Data validation and serialization
- httpx: Async HTTP client for GitHub API
- Redis 5.0+: Caching and performance optimization
- GitHub GraphQL API: Efficient data retrieval
- structlog: Structured logging
Installation
Configuration
Create a .env
file with your GitHub App credentials:
Usage
Development
Docker
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests
- Run the test suite
- Submit a pull request
License
MIT License - see LICENSE file for details.
Architecture
This server follows a modular architecture:
src/github_stars_mcp_server/config.py
: Configuration managementsrc/github_stars_mcp_server/models.py
: Pydantic data modelssrc/github_stars_mcp_server/github_client.py
: GitHub API clientsrc/github_stars_mcp_server/server.py
: MCP server implementationsrc/github_stars_mcp_server/tools/
: MCP tools implementation
Performance
- Async/await throughout for non-blocking operations
- Redis caching for frequently accessed data
- GraphQL for efficient API queries
- Connection pooling for optimal resource usage
Security
- GitHub App authentication for secure API access
- Environment-based configuration
- Input validation with Pydantic
- Structured logging for audit trails
This server cannot be installed
A high-performance server for analyzing GitHub user starred repositories, providing insights into development trends, technology adoption patterns, and timeline tracking.
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