What is Backstage Tech Insights?

39/100
Trust Score (E)
🔴 Avoid

Backstage Tech Insights is a AI tool that Exposes Backstage Tech Insights scorecards and checks as queryable tools for software catalog health monitoring.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/johannesgerer/backstage-plugin-tech-insights-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Backstage Tech Insights Does

Backstage Tech Insights is a mcp_server in the AI tool category. Exposes Backstage Tech Insights scorecards and checks as queryable tools for software catalog health monitoring.. It is published by https://github.com/johannesgerer/backstage-plugin-tech-insights-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 Backstage Tech Insights

Backstage Tech Insights is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/johannesgerer/backstage-plugin-tech-insights-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=backstage-tech-insights

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

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Frequently Asked Questions

What is Backstage Tech Insights used for?
Backstage Tech Insights is a AI tool tool. Exposes Backstage Tech Insights scorecards and checks as queryable tools for software catalog health monitoring..
Is Backstage Tech Insights free?
License: Check project page. Backstage Tech Insights has 0 GitHub stars.
Is Backstage Tech Insights safe?
Backstage Tech Insights has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Backstage Tech Insights?
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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