What is Log Analyzer with CloudWatch Logs?
Log Analyzer with CloudWatch Logs is a AI tool that Provides structured access to CloudWatch Logs data for searching, analyzing, and correlating logs across AWS services to help with troubleshooting and pattern identification.. It has a Nerq Trust Score of 45/100 (D). 151 GitHub stars. Published by https://github.com/awslabs/log-analyzer-with-mcp. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 151 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Log Analyzer with CloudWatch Logs Does
Log Analyzer with CloudWatch Logs is a mcp_server in the AI tool category. Provides structured access to CloudWatch Logs data for searching, analyzing, and correlating logs across AWS services to help with troubleshooting and pattern identification.. It is published by https://github.com/awslabs/log-analyzer-with-mcp and has no specified license. With 151 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use Log Analyzer with CloudWatch Logs
Log Analyzer with CloudWatch Logs is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/awslabs/log-analyzer-with-mcp |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=log-analyzer-with-cloudwatch-logs
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.