How does GitLab help improve code review?

By automatically fetching unresolved comments and code diffs on Merge Requests, GitLab enables AI assistants to highlight potential issues and suggest improvements during code review.

Which AI assistants does GitLab integrate with?

GitLab is designed to integrate with AI assistant platforms like Claude and Cursor, using configuration files for seamless communication.

What credentials does it need?

It reads `GITLAB_URL`, `GITLAB_PROJECT_NAME`, `GITLAB_API_KEY`, `GIT_REPO_PATH` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Gitlab MCP Server

Connects to a GitLab project and provides pipeline failure information and merge request details to AI assistants.

Local serverstdio

What is the Gitlab MCP Server?

Connects to a GitLab project and provides pipeline failure information and merge request details to AI assistants.

What it actually does

GitLabとの連携機能を提供するModel Context Protocol (MCP) サーバーです。GitLabの特定のプロジェクトからパイプラインの失敗情報やマージリクエストへの指摘事項を取得し、AIアシスタントに提供します。

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
your_gitlab_api_key	GitLab APIのアクセストークン

Configuration

Variable	Description	Required
GITLAB_URL	Endpoint or connection string the server talks to.	Yes
GITLAB_PROJECT_NAME	Configuration value read at startup.	Optional
GITLAB_API_KEY	Credential the server authenticates with.	Yes
GIT_REPO_PATH	Filesystem location the server is allowed to use.	Optional

Example prompts to try

“Use Gitlab to your gitlab api key.”

Frequently asked questions

GitLab connects to a GitLab project and provides key information like pipeline failure outputs and merge request details to AI assistants, enabling automated insights and faster debugging.