What is GitHub Trending Repos?

39/100
Trust Score (E)
🔴 Avoid

GitHub Trending Repos is a AI tool that Fetches and filters GitHub trending repositories by keywords, language, and time period.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/snyangwei2/yw-github-trending-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What GitHub Trending Repos Does

GitHub Trending Repos is a mcp_server in the AI tool category. Fetches and filters GitHub trending repositories by keywords, language, and time period.. It is published by https://github.com/snyangwei2/yw-github-trending-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 Trending Repos

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

Details

Authorhttps://github.com/snyangwei2/yw-github-trending-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-trending-repos

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

Safer Alternatives

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MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
Sequential Thinking5089.4K
Fetch5089.4K

Frequently Asked Questions

What is GitHub Trending Repos used for?
GitHub Trending Repos is a AI tool tool. Fetches and filters GitHub trending repositories by keywords, language, and time period..
Is GitHub Trending Repos free?
License: Check project page. GitHub Trending Repos has 0 GitHub stars.
Is GitHub Trending Repos safe?
GitHub Trending Repos has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to GitHub Trending Repos?
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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