What is SushiMCP?

40/100
Trust Score (E)
🔴 Avoid

SushiMCP is a AI tool that Delivers documentation context from various technology sources to improve code generation by fetching and serving relevant llms.txt documentation on demand.. It has a Nerq Trust Score of 40/100 (E). 8 GitHub stars. Published by https://github.com/maverickg59/sushimcp. Last analyzed August 2026.

Why This Score

Trust & Safety Overview

40
TRUST SCORE
E
GRADE
8
STARS
0
DOWNLOADS

What SushiMCP Does

SushiMCP is a mcp_server in the AI tool category. Delivers documentation context from various technology sources to improve code generation by fetching and serving relevant llms.txt documentation on demand.. It is published by https://github.com/maverickg59/sushimcp and has no specified license. With 8 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use SushiMCP

SushiMCP is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/maverickg59/sushimcp
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=sushimcp

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

Safer Alternatives

ToolTrustStars
MarkItDown5292.8K
Time7189.4K
Filesystem7089.4K
Sequential Thinking7489.4K
Fetch5089.4K

Frequently Asked Questions

What is SushiMCP used for?
SushiMCP is a AI tool tool. Delivers documentation context from various technology sources to improve code generation by fetching and serving relevant llms.txt documentation on demand..
Is SushiMCP free?
License: Check project page. SushiMCP has 8 GitHub stars.
Is SushiMCP safe?
SushiMCP has a Nerq Trust Score of 40/100 (E). Evaluate carefully.
What are alternatives to SushiMCP?
Top alternatives: MarkItDown, Time, Filesystem. See full comparison.

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

We use cookies for analytics and caching. Privacy Policy