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MorDavid/BloodHound-MCP-AI

Score: 31.6 Rank #5678

BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.

Overview

MorDavid/BloodHound-MCP-AI is a Python MCP server. BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries. Topics: ai, bloodhound, bloodhoundad, cypher-query-language, mcp, mcp-server.

Ranked #5678 out of 25632 indexed tools.

Ecosystem

Python No license
aibloodhoundbloodhoundadcypher-query-languagemcpmcp-server

Signal Breakdown

Stars 343
Freshness 9mo ago
Issue Health 50%
Contributors 1
Dependents 0
Forks 52
Description Detailed
License None

How to Improve

License low impact

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Freshness high impact

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Matched Queries

"model context protocol""model-context-protocol"

From the README

# BloodHound-MCP

## Model Context Protocol (MCP) Server for BloodHound

BloodHound-MCP is a powerful integration that brings the capabilities of Model Context Procotol (MCP) Server to BloodHound, the industry-standard tool for Active Directory security analysis. This integration allows you to analyze BloodHound data using natural language, making complex Active Directory attack path analysis accessible to everyone.

> 🥇 **First-Ever BloodHound AI Integration!**  
> This is the first integration that connects BloodHound with AI through MCP, [originally announced here](https://www.linkedin.com/posts/mor-david-cyber_bloodhound-ai-cybersec-activity-7310921541213470721-N390).

## 🔍 What is BloodHound-MCP?

BloodHound-MCP combines the power of:
- **BloodHound**: Industry-standard tool for visualizing and analyzing Active Directory attack paths
- **Model Context Protocol (MCP)**: An open protocol for creating custom AI tools, compatible with various AI models
- **Neo4j**: Graph database us
Read full README on GitHub →
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