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

# Clone the repository
git clone https://github.com/your-org/github-stars-mcp-server.git
cd github-stars-mcp-server

# Install dependencies using uv
uv sync

# Activate virtual environment
source .venv/bin/activate

Configuration

Create a .env file with your GitHub App credentials:

GITHUB_APP_ID=your_app_id
GITHUB_APP_PRIVATE_KEY_PATH=path/to/private-key.pem
GITHUB_APP_INSTALLATION_ID=your_installation_id
REDIS_URL=redis://localhost:6379

Usage

# Start the MCP server
github-stars-mcp-server

Development

# Install development dependencies
uv sync --dev

# Run tests
pytest

# Run linting
ruff check .

# Run type checking
mypy src/

Docker

# Build Docker image
docker build -t github-stars-mcp-server .

# Run container
docker run -p 8000:8000 --env-file .env github-stars-mcp-server

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Run the test suite
6. 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 management
• src/github_stars_mcp_server/models.py: Pydantic data models
• src/github_stars_mcp_server/github_client.py: GitHub API client
• src/github_stars_mcp_server/server.py: MCP server implementation
• src/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