What is Recovery Tools?

39/100
Trust Score (E)
🔴 Avoid

Recovery Tools is a AI tool that Spring Boot starter for tracking MCP tool call outcomes with per-tool health metrics and recovery time analysis in PostgreSQL.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/massimilianopili/mcp-recovery-tools. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Recovery Tools Does

Recovery Tools is a mcp_server in the AI tool category. Spring Boot starter for tracking MCP tool call outcomes with per-tool health metrics and recovery time analysis in PostgreSQL.. It is published by https://github.com/massimilianopili/mcp-recovery-tools and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Recovery Tools

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

Details

Authorhttps://github.com/massimilianopili/mcp-recovery-tools
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=recovery-tools

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

Safer Alternatives

ToolTrustStars
MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
Sequential Thinking5089.4K
Fetch5089.4K

Frequently Asked Questions

What is Recovery Tools used for?
Recovery Tools is a AI tool tool. Spring Boot starter for tracking MCP tool call outcomes with per-tool health metrics and recovery time analysis in PostgreSQL..
Is Recovery Tools free?
License: Check project page. Recovery Tools has 0 GitHub stars.
Is Recovery Tools safe?
Recovery Tools has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Recovery Tools?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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