What is the GitLab MCP Server?

The GitLab MCP Server is a Model Context Protocol (MCP) server designed to connect AI agents directly to the GitLab API. It enables AI agents to interact with, automate, and manage various GitLab resources and workflows.

How many tools and GitLab entities does it support?

It provides 44 distinct tools across 18 different GitLab entity types. This includes key areas such as projects, merge requests, pipelines, work items, wikis, and more, offering comprehensive control for AI agents.

What are its main architectural and security features?

It implements a CQRS (Command Query Responsibility Segregation) architecture with separate 'browse_*' (query) and 'manage_*' (command) operations. For security, it supports OAuth 2.1 for per-user authentication via Claude Custom Connector and can be run in read-only mode.

What transport modes does the server support?

The GitLab MCP Server supports multiple transport modes to suit various integration needs: stdio, Server-Sent Events (SSE), and StreamableHTTP, providing flexibility for different environments and applications.

Can I control which tools or actions are available to AI agents?

Yes, the server offers fine-grained control. You can enable or disable entire tool groups using feature flags, filter specific actions, and even customize tool descriptions to tailor the AI agent's capabilities to your exact requirements.

GitLab MCP Server: AI Agent Integration & Automation

GitLab is a Model Context Protocol (MCP) server designed to bridge AI agents with the extensive GitLab API. It offers a robust set of 44 tools across 18 GitLab entity types, enabling AI to query and manage projects, merge requests, pipelines, and more. With its CQRS architecture, OAuth 2.1 support, and multiple transport modes, GitLab facilitates seamless and secure AI-driven automation and interaction within GitLab environments, enhancing productivity and enabling advanced AI integrations.

주요 기능

010 GitHub stars

02Provides 44 tools across 18 GitLab entity types including projects, merge requests, and pipelines

03Implements CQRS architecture with distinct query (browse_*) and command (manage_*) operations

04Supports multiple transport modes: stdio, SSE, and StreamableHTTP

05Offers OAuth 2.1 for secure per-user authentication via Claude Custom Connector

06Features fine-grained control for enabling/disabling tool groups and customizing actions

사용 사례

01Enabling AI agents to automate tasks and interact with various aspects of GitLab projects and workflows

02Integrating AI-powered features and automation directly into developer environments via VS Code or Claude Desktop

03Building advanced AI-driven solutions for project management, CI/CD, and code review within GitLab environments