GitHub to MCP Converter MCP server

GitHub to MCP

Convert any GitHub repository into an MCP server in seconds

Give Claude, ChatGPT, Cursor, Windsurf, Cline, and any AI assistant instant access to any codebase.

🌐 Web App • 🚀 Quick Start • ✨ Features • 📖 Docs

📋 Table of Contents

• Introduction
• What is MCP
• Quick Start
• Features
• Installation
• Usage
• How It Works
• Generated Tools
• Configuration
• Integrating with AI Assistants
• Interactive Playground
• Project Structure

📖 Introduction

GitHub to MCP bridges the gap between code repositories and AI assistants. Instead of manually describing APIs or copying code snippets into chat windows, this tool generates a standardized interface that allows AI systems to programmatically explore, read, and interact with any GitHub repository.

The generated MCP servers provide tools that AI assistants can invoke to read files, search code, list directory structures, and call API endpoints discovered within the repository. This enables AI assistants to have deep, structured access to codebases without requiring manual context management.

┌─────────────────────────────────────────────────────────────┐
│                     GitHub Repository                       │
└─────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────┐
│  1. Fetch & Classify  →  Detect repo type (API/CLI/Lib)     │
│  2. Extract Tools     →  OpenAPI, GraphQL, Code, README     │
│  3. Generate Server   →  TypeScript or Python MCP server    │
│  4. Bundle Output     →  Complete package with dependencies │
└─────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────┐
│              Ready-to-use MCP Server + Config               │
└─────────────────────────────────────────────────────────────┘

🔌 What is MCP

The Model Context Protocol (MCP) is an open standard developed by Anthropic that defines how AI assistants communicate with external tools and data sources. MCP servers expose "tools" that AI models can invoke, along with "resources" that provide context and "prompts" that guide interactions.

Shortened. The full README is on GitHub.