GitHub Model Context Protocol (MCP) Agent

This repository demonstrates the implementation and usage of the Model Context Protocol (MCP) for GitHub integration.

What is Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is a standardized way to enable AI models to interact with external services and APIs in a controlled and secure manner. It provides a structured interface for AI models to perform actions and receive context from various platforms and services.

Key Features of MCP

1. Standardized Interface: MCP provides a consistent way to interact with different services through a unified protocol.
2. Security: Authentication and authorization are handled through secure tokens and configurations.
3. Extensibility: New services can be added by implementing the MCP interface.
4. Context Awareness: Models can receive and maintain context about the current state of the service they're interacting with.

GitHub MCP Integration

The GitHub MCP integration allows AI models to:

• Create and manage repositories
• Handle issues and pull requests
• Manage files and content
• Access repository information
• Work with branches and commits
• And more...

Configuration

MCP configuration is typically stored in a JSON format. Here's an example configuration for GitHub integration:

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": [
        "@smithery/cli",
        "run",
        "@smithery-ai/github",
        "--key",
        "YOUR_KEY",
        "--profile",
        "YOUR_PROFILE"
      ]
    }
  }
}

Usage

The GitHub MCP can be used through compatible AI interfaces that implement the protocol. The protocol handles:

1. Authentication and authorization
2. API rate limiting
3. Response formatting
4. Error handling
5. Context management

Benefits

• Simplified Integration: No need to handle raw API calls
• Consistent Interface: Standardized way to interact with GitHub
• Security: Proper handling of authentication and sensitive data
• Context Awareness: Maintains state and context across interactions
• Error Handling: Standardized error handling and recovery

Getting Started

1. Install the required dependencies
2. Configure your MCP settings
3. Initialize the GitHub MCP client
4. Start making API calls through the protocol

Learn More

• MCP Documentation
• GitHub API Documentation
• Smithery AI