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GitHub MCP servers

MCP servers that connect an AI agent to GitHub: repositories, issues, pull requests and Actions runs. We have classified 708 so far, listed below and ranked by their independent trust score.

708 catalogued · how we score

GitHub at a glance

Highest score
97 tc39-mcp
Median score
57
Scored
708 of 708
Rescanned in 7 days
701

remote 521 · npm 156 · pypi 43 · oci 16 · mcpb 10 · figures as of 2026-09-20 13:30 UTC · how we score

Top 100 by trust score Trust score 0–100

Every server here has been scored. A server is listed here because its description and tool definitions say it is built for GitHub. That is what the server declares about itself, not an integration we have tested, so check the score breakdown before you trust one. This classification currently runs only over servers that publish a hosted endpoint, so a GitHub server distributed solely as an installable package will not appear here yet, however clearly it belongs. Treat the ranking as a partial field rather than the whole one.

Common questions

What is a GitHub MCP server?

A GitHub MCP server exposes repositories, issues, pull requests and Actions runs to an AI assistant over the Model Context Protocol, so the assistant can work with GitHub directly instead of you moving data in and out by hand. These come from the public MCP registry, and being listed there is not a review of the code, so the publisher is worth checking as closely as the feature list.

How do I get started with a GitHub MCP server?

Start from the ranked list on this page, then open a server's own page and read its score breakdown before you install anything. Every server listed here is a hosted endpoint, so that breakdown covers Endpoint Security, Transport & Reachability, Schema Quality & AI Usability, Stability & Change Management, Tool Coverage, Tool Safety and Capabilities. A GitHub server acts on your GitHub data, so check what access it asks for before you connect it. The same page carries install snippets for the common MCP clients.