What is the GitLab MCP Server?

The GitLab MCP Server is a Model Context Protocol (MCP) server that leverages GraphQL to enable LLM-powered exploration and analysis of GitLab instances, including self-hosted ones.

What authentication modes are available for GitLab access?

The server supports Hybrid (shared token for read, per-user for write), Per-User Only (all operations require user token), and Shared Only (all operations use a shared token) modes for flexible security configurations.

What are the core features for developers and AI workflows?

Key features include global search, code exploration, automatic GraphQL schema introspection, dual authentication modes (shared read-only, per-user write), and seamless integration with LibreChat and Docker environments.

Does it support self-hosted GitLab instances and custom URLs?

Yes, the GitLab MCP Server is designed to support self-hosted GitLab instances and allows for configurable base URLs, ensuring compatibility with various deployment setups.

How does it benefit LLMs for GitLab interaction?

It provides LLMs with comprehensive search across projects, issues, and code, along with GraphQL-powered access to GitLab data, enabling AI-driven analysis, automation, and content generation.

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GitLab

Name: GitLab
Author: ttpears

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Enables LLM-powered exploration and analysis of GitLab instances via a GraphQL-leveraging Model Context Protocol server.

关于

The GitLab MCP server acts as a crucial bridge for integrating Large Language Models (LLMs) with GitLab instances, offering powerful capabilities for exploration, analysis, and automation. It provides a GraphQL-first interface with automatic schema discovery, supporting both cloud and self-hosted GitLab deployments. Recently updated for enhanced compatibility and stability with platforms like LibreChat, this server ensures secure, per-session credential isolation and a streamable HTTP transport, making it an ideal tool for LLMs to interact with GitLab's vast data, from codebases to issues and merge requests.

主要功能

GraphQL-first approach with automatic schema introspection.
Optimized for LLM-powered analysis and automation workflows.
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Dual authentication modes including shared read-only and per-user for write operations.
Comprehensive search and code exploration across GitLab for LLMs.
Seamless integration with LibreChat and Docker environments.

使用案例

Facilitating AI-driven code exploration and content retrieval from repositories for deeper analysis.
Automating GitLab workflows by allowing LLMs to create and update issues or merge requests.
Enabling LLMs to search and analyze GitLab projects, issues, merge requests, and codebases.