What is Rug Munch Intelligence?

38/100
Trust Score (E)
🔴 Avoid

Rug Munch Intelligence is a AI tool that Crypto token risk analysis with rug pull detection, honeypot scoring, deployer tracking, and social OSINT across 19 specialized tools.. It has a Nerq Trust Score of 38/100 (E). 1 GitHub stars. Published by https://github.com/cryptorugmunch/rug-munch-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
1
STARS
0
DOWNLOADS

What Rug Munch Intelligence Does

Rug Munch Intelligence is a mcp_server in the AI tool category. Crypto token risk analysis with rug pull detection, honeypot scoring, deployer tracking, and social OSINT across 19 specialized tools.. It is published by https://github.com/cryptorugmunch/rug-munch-mcp and has no specified license. With 1 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Rug Munch Intelligence

Rug Munch Intelligence is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/cryptorugmunch/rug-munch-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=rug-munch-intelligence

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

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Frequently Asked Questions

What is Rug Munch Intelligence used for?
Rug Munch Intelligence is a AI tool tool. Crypto token risk analysis with rug pull detection, honeypot scoring, deployer tracking, and social OSINT across 19 specialized tools..
Is Rug Munch Intelligence free?
License: Check project page. Rug Munch Intelligence has 1 GitHub stars.
Is Rug Munch Intelligence safe?
Rug Munch Intelligence has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Rug Munch Intelligence?
Top alternatives: MarkItDown, Sequential Thinking, Filesystem. See full comparison.

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

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