What is Microsoft Sentinel?
Microsoft Sentinel is a AI tool that Integrates with Microsoft Sentinel to enable security analysts to execute KQL queries, manage analytics rules, investigate incidents, and perform threat intelligence lookups directly from their AI env. It has a Nerq Trust Score of 39/100 (E). 18 GitHub stars. Published by https://github.com/dstreefkerk/ms-sentinel-mcp-server. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 18 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Microsoft Sentinel Does
Microsoft Sentinel is a mcp_server in the AI tool category. Integrates with Microsoft Sentinel to enable security analysts to execute KQL queries, manage analytics rules, investigate incidents, and perform threat intelligence lookups directly from their AI environment.. It is published by https://github.com/dstreefkerk/ms-sentinel-mcp-server and has no specified license. With 18 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Microsoft Sentinel
Microsoft Sentinel is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/dstreefkerk/ms-sentinel-mcp-server |
|---|---|
| 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=microsoft-sentinel
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.