GitHub Code Explorer using Model Context Protocol

What is 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. MCP standardizes how AI models interact with external tools, defining function descriptions, invocation decisions, parameter validation, and result formatting.

How to use GitHub Code Explorer using Model Context Protocol?

Clone the repository, install dependencies with npm install, optionally set the GH_TOKEN environment variable for higher rate limits, then start the server with npm start (or npm run dev for auto-reload). Open http://localhost:3000 in a browser, click “Load Available Functions” to see the API capabilities, and type a query to simulate an AI conversation.

Key features of GitHub Code Explorer using Model Context Protocol

• Search for code across GitHub repositories
• View file contents from repositories
• Search for GitHub repositories
• Function discovery endpoint (GET /api/mcp/functions)
• AI assistant simulation interface

Use cases of GitHub Code Explorer using Model Context Protocol

• AI assistant searches for relevant code snippets across repositories
• Assistant views file contents to answer code‑related questions
• Assistant finds repositories based on natural‑language queries
• Developers test and debug MCP integration with a simulated client
• Experiment with MCP function definitions and JSON Schema validation

FAQ from GitHub Code Explorer using Model Context Protocol

What is the Model Context Protocol?

It is a standardized way for AI models to interact with external tools and services. It defines how functions are described, how models decide which functions to call, how parameters are structured and validated, and how results are returned in a consistent format.

What are the installation requirements?

Node.js and npm are required. After cloning the repository, run npm install to install dependencies. A GitHub API token is optional but recommended for higher rate limits.

How do I set up a GitHub API token?

Set the environment variable GH_TOKEN to your personal access token before starting the server. This is optional and used to increase rate limits.

What API endpoints are available?

Two endpoints are exposed: GET /api/mcp/functions lists all available function definitions, and POST /api/mcp calls a function with provided parameters. The application also includes a browser‑based client for simulation.

Is this tool intended for production use?

No, the README describes it as a demonstration of implementing the Model Context Protocol to create a GitHub code search tool. It is not presented as a production‑grade service.