What is NIST Cybersecurity?

39/100
Trust Score (E)
🔴 Avoid

NIST Cybersecurity is a AI tool that Access NIST cybersecurity publications, SP 800-53 controls, CSF 2.0, NVD vulnerabilities, and FIPS cryptographic modules from a local SQLite index.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/ball2jh/nist-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What NIST Cybersecurity Does

NIST Cybersecurity is a mcp_server in the AI tool category. Access NIST cybersecurity publications, SP 800-53 controls, CSF 2.0, NVD vulnerabilities, and FIPS cryptographic modules from a local SQLite index.. It is published by https://github.com/ball2jh/nist-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 NIST Cybersecurity

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

Details

Authorhttps://github.com/ball2jh/nist-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=nist-cybersecurity

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

Safer Alternatives

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Frequently Asked Questions

What is NIST Cybersecurity used for?
NIST Cybersecurity is a AI tool tool. Access NIST cybersecurity publications, SP 800-53 controls, CSF 2.0, NVD vulnerabilities, and FIPS cryptographic modules from a local SQLite index..
Is NIST Cybersecurity free?
License: Check project page. NIST Cybersecurity has 0 GitHub stars.
Is NIST Cybersecurity safe?
NIST Cybersecurity has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to NIST Cybersecurity?
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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