What is github-mcp-server?

32/100
Trust Score (F)
🔴 Avoid

github-mcp-server is a npm that A comprehensive Model Context Protocol (MCP) server that provides Git repository management capabilities for AI assistants and automation tools. Includes 29 Git operations + 11 workflow combinations w. It has a Nerq Trust Score of 32/100 (F). 0 GitHub stars. Published by giglepeople. Last analyzed March 2026.

Why This Score

Trust & Safety Overview

32
TRUST SCORE
F
GRADE
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STARS
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DOWNLOADS

What github-mcp-server Does

github-mcp-server is a npm in the npm category. A comprehensive Model Context Protocol (MCP) server that provides Git repository management capabilities for AI assistants and automation tools. Includes 29 Git operations + 11 workflow combinations with complete CLI alias system and advanced developer pr. It is published by giglepeople and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use github-mcp-server

github-mcp-server is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorgiglepeople
Categorynpm
LicenseNot specified
Typenpm
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

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

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

Frequently Asked Questions

What is github-mcp-server used for?
github-mcp-server is a npm tool. A comprehensive Model Context Protocol (MCP) server that provides Git repository management capabilities for AI assistants and automation tools. Includes 29 Git operations + 11 workflow combinations w.
Is github-mcp-server free?
License: Check project page. github-mcp-server has 0 GitHub stars.
Is github-mcp-server safe?
github-mcp-server has a Nerq Trust Score of 32/100 (F). Evaluate carefully.
What are alternatives to github-mcp-server?
Top alternatives: . See full comparison.

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

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