GitHub See MCP Server
About
A server-side implementation for the GitHub See MCP project that handles context processing and management between GitHub repositories and AI model interactions, enabling seamless integration of AI capabilities with your codebase.
Details
- Author
- JesusMaster
- Downloads
- 302
- Categories
- Developer Tools
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
GitHub See MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, build the Docker image, and run the container with environment variables such as GITHUB_TOKEN and MCP_SSE_PORT. Ensure your AI model supports the Model Context Protocol, generate an API key, and configure the endpoints in your environment.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"github see mcp server": {
"github-see-mcp-server": {
"command": "docker",
"args": [
"build",
"-t",
"github-see-mcp-server",
"."
]
}
}
}
}
McpServers
{
"github-see-mcp-server": {
"command": "docker",
"args": [
"build",
"-t",
"github-see-mcp-server",
"."
]
}
}
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
Using Docker (Recommended)
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
- Model Context Protocol
- GitHub Webhooks API
- Node.js
- All the amazing contributors who have helped shape this project
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