BloodHound-MCP-AI
by MorDavid
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.
335stars
51forks
Python
Added 12/27/2025
MCP Serversaibloodhoundbloodhoundadcypher-query-languagemcp
Installation
# Add to your Claude Code skills
git clone https://github.com/MorDavid/BloodHound-MCP-AIBloodHound-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.
🔍 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 used by BloodHound to store AD relationship data
With over 75 specialized tools based on the original BloodHound CE Cypher queries, BloodHound-MCP allows security professionals to:
- Query BloodHound data using natural language
- Discover complex attack paths in Active Directory environments
- Assess Active Directory security posture more efficiently
- Generate detailed security reports for stakeholders
📱 Community
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- Telegram: root_sec