What token is required to use Gitlab MCP Server?
A GitLab Personal Access Token with the **api** scope is needed. The token is passed via the `GITLAB_TOKEN` environment variable.
@jmrplens
基本情報
Open source GitLab MCP server for AI assistants: 2-tool dynamic find/execute over 860+ GitLab actions (1,000+ Enterprise), stdio/HTTP/OAuth, safe/read-only modes.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"gitlab-mcp-server-jmrplens": {
"command": "docker",
"args": [
"pull",
"ghcr.io/jmrplens/gitlab-mcp-server:latest"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Gitlab MCP Server connects your AI assistant to GitLab, enabling it to review merge requests, triage pipelines, manage issues, and draft releases in plain language. It provides 1000+ GitLab tools over the full REST + GraphQL API and works with Claude, Cursor, VS Code, and any MCP client. It runs as a single static binary or a container on Windows, Linux, and macOS.
Choose an installation method: one-click buttons (VS Code, Cursor, etc.), claude mcp add command, the built-in setup wizard (gitlab-mcp-server --setup), or manual JSON configuration. Provide a GitLab Personal Access Token with the api scope. For self-managed GitLab, set the GITLAB_URL environment variable. Then simply ask your AI assistant to perform GitLab tasks.
A GitLab Personal Access Token with the **api** scope is needed. The token is passed via the `GITLAB_TOKEN` environment variable.
Set the `GITLAB_URL` environment variable to your instance URL. For self-signed certificates, also set `GITLAB_SKIP_TLS_VERIFY=true`.
The default **dynamic** surface exposes only 2 tools (`gitlab_find_action` and `gitlab_execute_action`) while still reaching the full catalog. This keeps token consumption low and fits any client’s context window.
Yes, read-only mode is a built-in safety feature. It prevents mutations, allowing safe exploration of GitLab data.
Yes, there is an HTTP server mode for shared, long-running deployments, documented in the HTTP Server Mode guide.

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