What is Last9 Observability?

66/100
Trust Score (B-)
⚠️ Use Caution

Last9 Observability is a AI tool that Integrates with Last9's observability platform to enable exception retrieval and service dependency analysis for efficient troubleshooting within monitoring environments.. It has a Nerq Trust Score of 66/100 (B-). 52 GitHub stars. Published by https://github.com/last9/last9-mcp-server. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

66
TRUST SCORE
B-
GRADE
52
STARS
0
DOWNLOADS

What Last9 Observability Does

Last9 Observability is a mcp_server in the AI tool category. Integrates with Last9's observability platform to enable exception retrieval and service dependency analysis for efficient troubleshooting within monitoring environments.. It is published by https://github.com/last9/last9-mcp-server and has no specified license. With 52 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Last9 Observability

Last9 Observability is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorhttps://github.com/last9/last9-mcp-server
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=last9-observability

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

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Frequently Asked Questions

What is Last9 Observability used for?
Last9 Observability is a AI tool tool. Integrates with Last9's observability platform to enable exception retrieval and service dependency analysis for efficient troubleshooting within monitoring environments..
Is Last9 Observability free?
License: Check project page. Last9 Observability has 52 GitHub stars.
Is Last9 Observability safe?
Last9 Observability has a Nerq Trust Score of 66/100 (B-). Use with caution.
What are alternatives to Last9 Observability?
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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