What GitLab token scopes are necessary for the server to function?

To ensure full functionality, your GitLab Personal Access Token must have `api`, `read_repository`, and `write_repository` scopes selected.

What is the GitLab MCP Server?

The GitLab Model Context Protocol (MCP) Server is a Python-based tool built on FastMCP, enabling deep, programmatic integration with GitLab's features for enhanced development workflows.

What specific GitLab operations can I perform with this server?

It allows you to manage repositories (create, fork, delete, search), perform file operations (create, update, get, push), handle issues, manage merge requests, and control branches and tags.

Is this tool suitable for automating GitLab tasks?

Absolutely. By providing extensive API access to GitLab functionalities, the MCP server is ideal for automating development workflows, repository management, and content deployment.

How do I set up and integrate the GitLab MCP Server?

You can set it up quickly by building its Docker image. It's designed for integration with MCP-compatible tools like Cursor/Claude, requiring configuration with your GitLab token and URL.

GitLab

Name: GitLab
Author: lucky-dersan

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Provides a Model Context Protocol (MCP) server for deep integration with GitLab functionalities.

GitLab

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Provides a Model Context Protocol (MCP) server for deep integration with GitLab functionalities.

The GitLab server is a Python-based application built on FastMCP, designed to bridge GitLab's extensive API capabilities with Model Context Protocol-compatible applications like Cursor or Claude. It enables these applications to programmatically interact with GitLab, facilitating tasks such as repository management, file operations, issue tracking, and merge request handling directly from an AI-driven environment.

Key Features

01Perform file operations (create, update, get contents, push)

02Manage merge requests (create, get diffs)

03Manage repositories (create, fork, delete, search)

04Handle issues (create, retrieve)

05Control branches and tags (create, delete)

061 GitHub stars

Use Cases

01Enabling AI tools to create, modify, and delete code within GitLab repositories

02Automating GitLab workflows from an AI development environment

03Streamlining issue tracking and merge request processes via intelligent agents