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shadow-ai-hunting MCP Server

blackoutsecure/shadow-ai-hunting

Score: 39.8 Rank #14069 Search & RAG
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Advanced Hunting KQL queries, Intune remediation scripts, and custom detection rules for discovering local AI agent infrastructure — vector databases (ChromaDB, FAISS), agent memory files (CLAUDE.md, .cursorrules, AGENTS.md), Docker containers (Ollama, vLLM), and MCP servers on managed endpoints. Built for Microsoft Defender XDR, Sentinel

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Overview

blackoutsecure/shadow-ai-hunting is a Astro MCP server licensed under MIT. Advanced Hunting KQL queries, Intune remediation scripts, and custom detection rules for discovering local AI agent infrastructure — vector databases (ChromaDB, FAISS), agent memory files (CLAUDE.md, .cursorrules, AGENTS.md), Docker containers (Ollama, vLLM), and MCP servers on managed endpoints. Built for Microsoft Defender XDR, Sentinel

Ranked #14069 out of 24850 indexed tools.

Ecosystem

Astro MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 24d ago

Last commit 24d ago → recently updated

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 1
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"mcp server""mcp-server"

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