GitMCP

GitMCP MCP Server

GitMCP is the ultimate ChatGPT custom connector and Claude custom integration solution that eliminates code hallucinations by providing AI assistants with real-time access to GitHub repository documentation and code. This powerful remote MCP server connects seamlessly with popular AI development tools, making it the go-to choice for developers seeking accurate, up-to-date code assistance.

Key Features & Value Proposition

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that transforms any GitHub project (repositories or GitHub pages) into a documentation hub. It enables AI tools like Cursor to access up-to-date documentation and code, even if the LLM has never encountered them, thereby eliminating code hallucinations seamlessly.

Core Capabilities

• Zero Setup Required: GitMCP runs in the cloud. Simply add the chosen GitMCP URL as an MCP server in your IDE — no downloads, installations, signups, or changes are required.

• Universal GitHub Access: GitMCP works with any public GitHub repository without requiring any modifications.

• Smart Documentation Priority: It prioritizes the llms.txt file and falls back to README.md or other pages if the former is unavailable.

• Privacy-First Design: GitMCP is deeply committed to its users' privacy. The service doesn't have access to or store any personally identifiable information as it doesn't require authentication. In addition, it doesn't store any queries sent by the agents.

Available Tools (5 Total)

GitMCP provides 5 comprehensive tools for AI assistants to interact with GitHub repositories:

1. match_common_libs_owner_repo_mapping - Intelligently matches library names to GitHub owner/repository pairs
2. fetch_generic_documentation - Retrieves complete documentation for any GitHub repository
3. search_generic_documentation - Performs semantic search within repository documentation
4. search_generic_code - Searches through repository code with pagination support
5. fetch_generic_url_content - Fetches content from referenced URLs while respecting robots.txt

Primary Use Cases & Target Audience

Perfect for Developers Who Need:

Integrating new or niche open-source libraries, needing the latest usage patterns or documentation examples not yet covered by LLM training data.

AI code assistants providing code completion, answers, or automated documentation lookups for unfamiliar repos.

Teams working on private forks or rapid-release codebases, who want their internal documentation and code always available to their AI tooling.

Ideal User Profiles:

• Full-Stack Developers working with multiple open-source libraries
• AI/ML Engineers building AI-powered development tools
• DevOps Teams managing complex codebases across multiple repositories
• Technical Writers creating documentation with AI assistance
• Software Architects researching implementation patterns from GitHub projects

Setup & Integration Options

GitMCP offers flexible connection modes to suit different workflows:

Specific Repository Mode

• URL Format: gitmcp.io/{owner}/{repo} or {owner}.gitmcp.io/{repo}

Use these when you primarily work with a select number of libraries. This ensures your AI assistant always targets the correct project, enhancing security and relevance by preventing access to unintended repositories.

Generic Server Mode

• URL Format: gitmcp.io/docs

Use this for maximum flexibility when you need to switch between different repositories frequently. The AI assistant will prompt you (or decide based on context) which repository to access for each request.

How GitMCP Works

GitMCP connects your AI assistant to GitHub repositories using the Model Context Protocol (MCP), a standard that lets AI tools request additional information from external sources. GitMCP exposes tools like documentation fetching, smart search, code search, etc. Your AI sends requests to GitMCP to use its tools (with your approval). GitMCP executes the AI's request and returns the requested data.