What is Github File Search Mcp

github-file-search-mcp- is a web application designed to demonstrate how to build and run an MCP server. It allows users to search for code across GitHub repositories and view file contents using a standardized Model Context Protocol for communication between client and server.

Use cases

Use cases include searching for specific functions or code snippets across multiple repositories, viewing the contents of files directly in the application, and utilizing the Model Context Protocol for structured function calls in client-server interactions.

How to use

To use github-file-search-mcp-, clone the repository, install dependencies, set up a GitHub API token (optional), and start the server. Users can then enter search queries in the search box to find code and view file contents directly in the browser.

Key features

Key features include searching for code across public GitHub repositories using GitHub’s search API, viewing file contents in the browser, a simple and responsive user interface, secure implementation with error handling, and customizable search parameters for targeted results.

Where to use

github-file-search-mcp- can be used in software development, educational environments, and by developers looking to explore or analyze code from various GitHub repositories.

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