github-to-mcp
Active·★ 34·NOASSERTION·Updated 2026-10-21
GitHub to MCP converts any GitHub repository into a Model Context Protocol (MCP) server, providing AI assistants programmatic access to codebases. It automatically extracts tools from API specifications, code, and documentation, enabling AI to explore, read, and interact with repositories without manual context management.
#GitHub#MCP#AI Assistants#Code Generation#API Integration#Dev Tooling#Workflow Automation#Repository Analysis
01
Features
01Comprehensive Repository Analysis: Automatically classifies repository types and parses API specifications (OpenAPI, GraphQL, gRPC, AsyncAPI) and source code.
02Multi-Language Input & Output Support: Processes repositories written in various languages (TypeScript, Python, Go, Java, Rust, Ruby, C#) and generates MCP servers in TypeScript, Python, or Go.
03Automated Tool Extraction: Converts OpenAPI endpoints, GraphQL queries/mutations, Python functions, CLI commands, and HTTP route handlers into callable tools for AI.
04Full MCP Server Code Generation: Produces complete, runnable MCP server code with all dependencies, configuration files for AI clients, and optional Docker deployment templates.
02
Compatibility
GitHub
Input Source
Verified via docs
TypeScript
Output Language
Verified via docs
Python
Output Language
Verified via docs
Go
Output Language
Verified via docs
Claude Desktop
AI Integration
Verified via docs
Cursor
AI Integration
Verified via docs
03
Quick start
1
$ npx @nirholas/github-to-mcp https://github.com/stripe/stripe-node
04
Use cases
↳Enable AI assistants (like Claude, ChatGPT, Cursor) to programmatically access and interact with any GitHub codebase for tasks such as code review, bug fixing, or feature development.
↳Automate the generation of structured API documentation or executable tools for AI systems directly from existing code repositories, reducing manual effort.
↳Provide AI models with deep, contextual understanding of code repositories, allowing them to instantly comprehend and utilize new libraries or APIs without extensive pre-training.
↳Integrate code-centric functionalities into multi-agent workflows, where autonomous agents can discover and invoke tools derived from GitHub repositories to accomplish complex tasks.
05
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