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GitLab MCP servers

MCP servers that connect an AI agent to GitLab: projects, merge requests and CI pipelines. We have classified 171 so far, listed below and ranked by their independent trust score.

171 catalogued · how we score

GitLab at a glance

Highest score
97 GitLab MCP Server
Median score
71
Scored
171 of 171
Rescanned in 7 days
171

npm 99 · pypi 34 · remote 28 · oci 15 · mcpb 14 · nuget 4 · figures as of 2026-11-05 02:39 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 GitLab. 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 GitLab 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 GitLab MCP server?

A GitLab MCP server exposes projects, merge requests and CI pipelines to an AI assistant over the Model Context Protocol, so the assistant can work with GitLab 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 GitLab 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 GitLab server acts on your GitLab data, so check what access it asks for before you connect it. The same page carries install snippets for the common MCP clients.