MorDavid/BloodHound-MCP-AI
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
Freshness high impact
Contributors medium impact
Matched Queries
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 usRead full README on GitHub →
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