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
• Development
• Architecture Overview
• Supported Input Formats
• Output Formats
• Limitations
• Troubleshooting
• Contributing
• License

📖 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.

When you connect an MCP server to an AI assistant like Claude Desktop, the assistant gains the ability to call the tools defined by that server. For example, a GitHub MCP server might expose tools like read_file, search_code, or list_pull_requests, which the AI can invoke to gather information needed to answer questions or complete tasks.

This project generates MCP servers from GitHub repositories, automatically creating tools based on the repository's contents, APIs, and documentation.

🚀 Quick Start

🌐 Web UI (Easiest)

Visit github-to-mcp.vercel.app — Paste any GitHub URL, click Generate, download your MCP server.

💻 CLI (One Command)

npx @nirholas/github-to-mcp https://github.com/stripe/stripe-node

📦 Programmatic (For Automation)

import { generateFromGithub } from '@nirholas/github-to-mcp';

const result = await generateFromGithub('https://github.com/stripe/stripe-node');
console.log(`Generated ${result.tools.length} tools`);
await result.save('./my-mcp-server');

✨ Features

📥 Installation

From Source

Clone the repository and install dependencies:

git clone https://github.com/nirholas/github-to-mcp.git
cd github-to-mcp
pnpm install
pnpm build

Using the Web Interface

The web application is deployed at github-to-mcp.vercel.app. Use the browser-based interface without any local installation.

📖 Usage

🌐 Web Interface

The web interface provides the simplest way to convert repositories:

1. Navigate to the web application
2. Enter a GitHub repository URL (e.g., https://github.com/owner/repo)
3. Optionally configure extraction options
4. Click "Generate" to analyze the repository
5. Review the generated tools and code
6. Download the MCP server package or copy the configuration

The web interface also provides an interactive playground where you can test generated tools before downloading.

💻 Command Line Interface

After building the project locally, you can use the CLI:

# Basic usage
node packages/core/dist/cli.mjs https://github.com/owner/repo

# Specify output directory
node packages/core/dist/cli.mjs https://github.com/owner/repo --output ./my-mcp-server

# Generate Python instead of TypeScript
node packages/core/dist/cli.mjs https://github.com/owner/repo --language python

# Include only specific extraction sources
node packages/core/dist/cli.mjs https://github.com/owner/repo --sources openapi,readme

# Use a GitHub token for private repos or higher rate limits
GITHUB_TOKEN=ghp_xxx node packages/core/dist/cli.mjs https://github.com/owner/repo

📦 Programmatic API

Import the generator in your own TypeScript or JavaScript code:

import { GithubToMcpGenerator } from '@nirholas/github-to-mcp';

const generator = new GithubToMcpGenerator({
  githubToken: process.env.GITHUB_TOKEN,
  sources: ['openapi', 'readme', 'code'],
  outputLanguage: 'typescript'
});

const result = await generator.generate('https://github.com/owner/repo');

console.log(`Repository: ${result.name}`);
console.log(`Classification: ${result.classification.type}`);
console.log(`Generated ${result.tools.length} tools`);

// Access the generated code
console.log(result.code);

// Save to disk
await result.save('./output-directory');

interface GithubToMcpOptions {
  // GitHub personal access token for API authentication
  githubToken?: string;
  
  // Which sources to extract tools from
  // Default: ['openapi', 'readme', 'code', 'graphql', 'mcp']
  sources?: Array<'openapi' | 'readme' | 'code' | 'graphql' | 'grpc' | 'mcp'>;
  
  // Output language for generated server
  // Default: 'typescript'
  outputLanguage?: 'typescript' | 'python' | 'go';
  
  // Include universal tools (read_file, list_files, etc.)
  // Default: true
  includeUniversalTools?: boolean;
  
  // Maximum number of tools to generate
  // Default: 100
  maxTools?: number;
  
  // Specific branch to analyze
  // Default: repository's default branch
  branch?: string;
}

⚙️ How It Works

The conversion process follows these stages:

🏷️ Repository Classification

The generator first analyzes the repository to determine its type and structure:

1. Fetch repository metadata from the GitHub API
2. Download and parse the README file
3. Examine package.json, setup.py, go.mod, or other manifest files
4. Scan for API specification files (openapi.json, schema.graphql, etc.)
5. Classify the repository as one of: