What is gitlab-mcp-server?

65/100
Trust Score (C+)
⚠️ Use Caution

gitlab-mcp-server is a devops that A fully-typed TypeScript MCP server for comprehensive GitLab API integration with Claude Desktop. Manage projects, issues, merge requests, CI/CD pipelines, and job logs with advanced features for. It has a Nerq Trust Score of 65/100 (C+). 7 GitHub stars. Published by Alosies. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

65
TRUST SCORE
C+
GRADE
7
STARS
0
DOWNLOADS

What gitlab-mcp-server Does

gitlab-mcp-server is a mcp_server in the devops category. A fully-typed TypeScript MCP server for comprehensive GitLab API integration with Claude Desktop. Manage projects, issues, merge requests, CI/CD pipelines, and job logs with advanced features for large-scale DevOps workflows.. It is published by Alosies and is open source. With 7 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use gitlab-mcp-server

gitlab-mcp-server is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorAlosies
Categorydevops
LicenseMIT
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=alosies-gitlab-mcp-server

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is gitlab-mcp-server used for?
gitlab-mcp-server is a devops tool. A fully-typed TypeScript MCP server for comprehensive GitLab API integration with Claude Desktop. Manage projects, issues, merge requests, CI/CD pipelines, and job logs with advanced features for.
Is gitlab-mcp-server free?
License: MIT. gitlab-mcp-server has 7 GitHub stars.
Is gitlab-mcp-server safe?
gitlab-mcp-server has a Nerq Trust Score of 65/100 (C+). Use with caution.
What are alternatives to gitlab-mcp-server?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.

Last updated May 2026. Trust scores based on automated analysis of public data.

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