GitHub Code Explorer using Model Context Protocol

This project demonstrates how to implement the Model Context Protocol (MCP) to create a GitHub code search tool that could be used by AI assistants.

What is Model Context Protocol?

Model Context Protocol is a standardized way for AI models to interact with external tools and services. It defines:

1. How functions are described to AI models
2. How AI models decide which functions to call
3. How parameters are structured and validated
4. How results are returned in a consistent format

Features

• Search for code across GitHub repositories
• View file contents from repositories
• Search for GitHub repositories
• Function discovery endpoint
• AI assistant simulation interface

Installation

1. Clone this repository
2. Install dependencies:

   npm install

3. Optional: Set up a GitHub API token as the environment variable GH_TOKEN for higher rate limits

Usage

1. Start the server:

   npm start

   or for development with auto-reload:

   npm run dev

2. Open your browser and navigate to http://localhost:3000

3. Click "Load Available Functions" to see the API capabilities

4. Type a query in the input box and press Enter to simulate an AI conversation

API Endpoints

• GET /api/mcp/functions - List all available functions
• POST /api/mcp - Call a function with parameters

Implementation Details

The application consists of:

• A Node.js/Express backend that wraps the GitHub API
• A browser client that simulates an AI assistant using the API
• MCP-compatible function definitions with JSON Schema