What is CodeQL?

45/100
Trust Score (D)
⚠️ Use Caution

CodeQL is a AI tool that Bridges to the CodeQL static analysis engine for identifying security vulnerabilities and quality issues in codebases through structured query evaluation and result interpretation.. It has a Nerq Trust Score of 45/100 (D). 139 GitHub stars. Published by https://github.com/jordyzomer/codeql-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

45
TRUST SCORE
D
GRADE
139
STARS
0
DOWNLOADS

What CodeQL Does

CodeQL is a mcp_server in the AI tool category. Bridges to the CodeQL static analysis engine for identifying security vulnerabilities and quality issues in codebases through structured query evaluation and result interpretation.. It is published by https://github.com/jordyzomer/codeql-mcp and has no specified license. With 139 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use CodeQL

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

Details

Authorhttps://github.com/jordyzomer/codeql-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=codeql

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

Safer Alternatives

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MarkItDown4292.8K
Time5089.4K
Filesystem7089.4K
Sequential Thinking5089.4K
Fetch5089.4K

Frequently Asked Questions

What is CodeQL used for?
CodeQL is a AI tool tool. Bridges to the CodeQL static analysis engine for identifying security vulnerabilities and quality issues in codebases through structured query evaluation and result interpretation..
Is CodeQL free?
License: Check project page. CodeQL has 139 GitHub stars.
Is CodeQL safe?
CodeQL has a Nerq Trust Score of 45/100 (D). Evaluate carefully.
What are alternatives to CodeQL?
Top alternatives: MarkItDown, Time, Filesystem. See full comparison.

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

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