What is GitHub with MCP Armor?

36/100
Trust Score (E)
🔴 Avoid

GitHub with MCP Armor is a AI tool that Read-only GitHub integration with security filter layer that scans responses for 95+ secret patterns and redacts them before reaching AI.. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by https://github.com/gglessner/github-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

36
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What GitHub with MCP Armor Does

GitHub with MCP Armor is a mcp_server in the AI tool category. Read-only GitHub integration with security filter layer that scans responses for 95+ secret patterns and redacts them before reaching AI.. It is published by https://github.com/gglessner/github-mcp 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 with MCP Armor

GitHub with MCP Armor is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/gglessner/github-mcp
CategoryAI tool
LicenseNot specified
Typemcp_server
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-with-mcp-armor

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

Safer Alternatives

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Frequently Asked Questions

What is GitHub with MCP Armor used for?
GitHub with MCP Armor is a AI tool tool. Read-only GitHub integration with security filter layer that scans responses for 95+ secret patterns and redacts them before reaching AI..
Is GitHub with MCP Armor free?
License: Check project page. GitHub with MCP Armor has 0 GitHub stars.
Is GitHub with MCP Armor safe?
GitHub with MCP Armor has a Nerq Trust Score of 36/100 (E). Evaluate carefully.
What are alternatives to GitHub with MCP Armor?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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