GitHub See MCP Server

by JesusMaster

Integrations

  • Supports containerized deployment through Docker, allowing for consistent and isolated runtime environments with configurable parameters.

  • Processes GitHub webhooks and events, providing real-time integration with GitHub repositories, including OAuth authentication and event handling for repository actions.

  • Utilizes MongoDB for data storage and management, supporting the server's context processing capabilities between GitHub repositories and AI models.

GitHub See MCP Server

A server-side implementation for the GitHub See MCP (Model Context Protocol) project. This server handles the context processing and management between GitHub repositories and model interactions, enabling seamless integration of AI capabilities with your codebase.

🚀 Features

  • Real-time webhook processing for GitHub events
  • AI model communication via Model Context Protocol (MCP)
  • Event-driven architecture for handling repository actions
  • Custom configuration for repository-to-model mapping
  • Secure authentication with GitHub OAuth
  • Detailed logging and monitoring capabilities

📋 Prerequisites

  • Node.js (v16.x or higher)
  • MongoDB (v5.0 or higher)
  • Valid GitHub OAuth application credentials
  • Compatible AI model endpoints

🔧 Installation

  1. Clone the repository:
    git clone https://github.com/JesusMaster/github-see-mcp-server.git cd github-see-mcp-server
  2. Build the Docker image:
    docker build -t github-see-mcp-server .

🔧 Configuration

The server can be configured using:

  1. Environment variables
  2. Docker environment variables passed at runtime

For Docker deployments, you can pass configuration options directly:

docker run -d -p 3200:3200 -e GITHUB_TOKEN={YOUR_TOKEN_HERE} -e MCP_SSE_PORT=3200 --name github-see-mcp-server github-see-mcp-server

🌐 AI Model Integration

To connect your AI model to this system:

  1. Ensure your model supports the Model Context Protocol (MCP)
  2. Generate an API key for secure communication
  3. Configure the endpoints in your environment variables

📦 Project Structure

github-see-mcp-server/ ├── controllers/ # Request handlers │ ├── github.ts │ └── issues.ts ├── Dockerfile # Production Docker configuration ├── main.ts # Application entry point ├── sse-server.ts # Server-Sent Events handler (if applicable) ├── package.json # Project dependencies ├── pnpm-lock.yaml # PNPM lock file ├── README.md # This file └── tsconfig.json # TypeScript configuration

🤝 Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

📜 License

This project is licensed under the MIT License.

📞 Contact

Project Owner: JesusMaster

GitHub: @JesusMaster

🙏 Acknowledgements

-
security - not tested
F
license - not found
-
quality - not tested

A server-side implementation that handles context processing between GitHub repositories and AI models, enabling seamless integration of AI capabilities with codebases through the Model Context Protocol.

  1. 🚀 Features
    1. 📋 Prerequisites
      1. 🔧 Installation
        1. Using Docker (Recommended)
      2. 🔧 Configuration
        1. 🌐 AI Model Integration
          1. 📦 Project Structure
            1. 🤝 Contributing
              1. 📜 License
                1. 📞 Contact
                  1. 🙏 Acknowledgements

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