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

bylucky-dersan

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Herramientas para Desarrolladores

Despliegue y DevOps

Desarrollo de API

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

Acerca de

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.

Características Principales

Perform file operations (create, update, get contents, push)
Manage merge requests (create, get diffs)
Manage repositories (create, fork, delete, search)
Handle issues (create, retrieve)
Control branches and tags (create, delete)
1 GitHub stars

Casos de Uso

Enabling AI tools to create, modify, and delete code within GitLab repositories
Automating GitLab workflows from an AI development environment
Streamlining issue tracking and merge request processes via intelligent agents