nguyenvanduocit

GitLab MCP

Community nguyenvanduocit
Updated

GitLab MCP

A tool for interacting with GitLab API through MCP.

Features

  • List projects and their details
  • List and manage merge requests
  • Get file content from GitLab repositories
  • List and analyze pipelines
  • Search and list commits
  • View user events and group members

Installation

There are several ways to install the GitLab Tool:

Option 1: Download from GitHub Releases

  1. Visit the GitHub Releases page
  2. Download the binary for your platform:
    • gitlab-mcp_linux_amd64 for Linux
    • gitlab-mcp_darwin_amd64 for macOS
    • gitlab-mcp_windows_amd64.exe for Windows
  3. Make the binary executable (Linux/macOS):
    chmod +x gitlab-mcp_*
    
  4. Move it to your PATH (Linux/macOS):
    sudo mv gitlab-mcp_* /usr/local/bin/gitlab-mcp
    

Option 2: Go install

go install github.com/yourusername/gitlab-mcp@latest

Config

Environment

  1. Set up environment variables in .env file:
GITLAB_TOKEN=your_gitlab_token
GITLAB_HOST=your_gitlab_host_url

Claude, cursor

{
  "mcpServers": {
    "gitlab": {
      "command": "/path-to/gitlab-mcp",
      "args": ["-env", "path-to-env-file"]
    }
  }
}

Development

Run the tool in SSE mode:

just dev

Or build and install:

just build
just install

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

MCP Server ยท Populars

MCP Server ยท New

    LeulAria

    Aria Icons

    MCP server for 340k SVG icons

    Community LeulAria
    knowall-ai

    Reverie โ€” graph memory that dreams

    Memory management MCP server for AI agents using Neo4j knowledge graphs

    Community knowall-ai
    keploy

    Key Highlights

    Open-source platform for creating safe, isolated production sandboxes for API, integration, and E2E testing.

    Community keploy
    hermes-labs-ai

    Fidelis Memory

    Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. MIT.

    Community hermes-labs-ai
    n24q02m

    Better Code Review Graph

    Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

    Community n24q02m