What is the GitLab MCP Server?

The GitLab MCP Server is a tool that integrates your GitLab repositories and functionalities (like projects, branches, issues, and merge requests) directly with AI assistants and developer tools via the Model Context Protocol (MCP).

How does this integration benefit developers?

It allows AI assistants (e.g., Claude Code, Cursor) to understand your GitLab context and perform tasks like listing projects, creating issues, managing merge requests, and searching code, enhancing productivity directly within your IDE or AI-powered environment.

What core GitLab functionalities can I manage with AI?

You can manage GitLab projects (list, get details), perform branch operations (list, create), handle issues (create, list), manage merge requests (create, list), interact with repository files (read, write), and search code within your projects.

Is the GitLab MCP Server compatible with self-hosted GitLab instances?

Yes, it fully supports self-hosted GitLab instances. You can configure the `GITLAB_HOST` environment variable to point to your private GitLab server and handle self-signed certificates if needed.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is a standard designed to enable AI assistants and developer tools to communicate and interact with various external services and data sources, providing relevant context for more intelligent and helpful AI interactions.

GitLab

Name: GitLab
Author: CarmeloRicarte

byCarmeloRicarte

Developer Tools

Collaboration Tools

Integrates GitLab repositories and functionalities with AI assistants and developer tools via the Model Context Protocol.

GitLab

byCarmeloRicarte

Developer Tools

Collaboration Tools

Integrates GitLab repositories and functionalities with AI assistants and developer tools via the Model Context Protocol.

About

The GitLab MCP Server acts as a bridge, enabling AI assistants like Claude Code to interact directly with GitLab projects. It allows AI to perform various operations within GitLab, such as listing projects, creating branches, managing issues and merge requests, reading and writing files, and searching code. This seamless integration empowers developers and AI assistants to collaborate more effectively on codebases hosted on GitLab, streamlining development workflows and enhancing AI-driven code assistance by providing contextual access to the GitLab environment.

Key Features

Manage GitLab projects (list, get details)
Perform branch operations (list, create)
Manage merge requests (create, list)
Interact with repository files (read, write, search)
0 GitHub stars
Handle issues (create, list)

Use Cases

Streamline AI-driven code fixes, reviews, and feature development by allowing direct repository interaction.
Enable AI assistants to automate GitLab operations like branch creation or issue tracking.
Provide real-time GitLab project context to AI-powered developer tools and IDE extensions.

About

Key Features

Manage GitLab projects (list, get details)
Perform branch operations (list, create)
Manage merge requests (create, list)
Interact with repository files (read, write, search)
0 GitHub stars
Handle issues (create, list)

Use Cases

Streamline AI-driven code fixes, reviews, and feature development by allowing direct repository interaction.
Enable AI assistants to automate GitLab operations like branch creation or issue tracking.
Provide real-time GitLab project context to AI-powered developer tools and IDE extensions.