What is DeepContext (Semantic Code Search)?

42/100
Trust Score (E)
⚠️ Use Caution

DeepContext (Semantic Code Search) is a AI tool that Symbol-aware semantic search for large codebases. It has a Nerq Trust Score of 42/100 (E). 267 GitHub stars. Published by https://github.com/wildcard-official/deepcontext-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

42
TRUST SCORE
E
GRADE
267
STARS
0
DOWNLOADS

What DeepContext (Semantic Code Search) Does

DeepContext (Semantic Code Search) is a mcp_server in the AI tool category. Symbol-aware semantic search for large codebases. It is published by https://github.com/wildcard-official/deepcontext-mcp and has no specified license. With 267 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use DeepContext (Semantic Code Search)

DeepContext (Semantic Code Search) is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/wildcard-official/deepcontext-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=deepcontext-semantic-code-search

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

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Frequently Asked Questions

What is DeepContext (Semantic Code Search) used for?
DeepContext (Semantic Code Search) is a AI tool tool. Symbol-aware semantic search for large codebases.
Is DeepContext (Semantic Code Search) free?
License: Check project page. DeepContext (Semantic Code Search) has 267 GitHub stars.
Is DeepContext (Semantic Code Search) safe?
DeepContext (Semantic Code Search) has a Nerq Trust Score of 42/100 (E). Evaluate carefully.
What are alternatives to DeepContext (Semantic Code Search)?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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