What is Dev Environment Sentinel?

43/100
Trust Score (E)
⚠️ Use Caution

Dev Environment Sentinel is a devops that Monitors and maintains the health of development environments across multiple programming languages and ecosystems.. It has a Nerq Trust Score of 43/100 (E). 1 GitHub stars. Published by https://github.com/adrianmikula/devenvmcp. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

43
TRUST SCORE
E
GRADE
1
STARS
0
DOWNLOADS

What Dev Environment Sentinel Does

Dev Environment Sentinel is a mcp_server in the devops category. Monitors and maintains the health of development environments across multiple programming languages and ecosystems.. It is published by https://github.com/adrianmikula/devenvmcp and has no specified license. With 1 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Dev Environment Sentinel

Dev Environment Sentinel is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/adrianmikula/devenvmcp
Categorydevops
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=dev-environment-sentinel

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

Safer Alternatives

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Frequently Asked Questions

What is Dev Environment Sentinel used for?
Dev Environment Sentinel is a devops tool. Monitors and maintains the health of development environments across multiple programming languages and ecosystems..
Is Dev Environment Sentinel free?
License: Check project page. Dev Environment Sentinel has 1 GitHub stars.
Is Dev Environment Sentinel safe?
Dev Environment Sentinel has a Nerq Trust Score of 43/100 (E). Evaluate carefully.
What are alternatives to Dev Environment Sentinel?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.

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

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