BloodHound-MCP-AI
BloodHound-MCP is an advanced tool that integrates Model Context Protocol with BloodHound for enhanced Active Directory security analysis. It allows security professionals to analyze and visualize Active Directory attack paths using natural language and AI models.
What is BloodHound-MCP?
BloodHound-MCP is an integration that connects BloodHound with the Model Context Protocol (MCP) Server, allowing users to analyze Active Directory data using natural language.
What are the prerequisites for using BloodHound-MCP?
You need BloodHound 4.x+, a Neo4j database with BloodHound data, Python 3.8 or higher, and an MCP Client.
How does BloodHound-MCP enhance security analysis?
It allows users to query BloodHound data using natural language, making complex analysis more accessible and efficient.
Is BloodHound-MCP an official product?
No, BloodHound-MCP is a community-driven integration and not an official product.
What security considerations should be taken into account?
Ensure proper authorization before analyzing any AD environment, handle data sensitively, and follow responsible disclosure practices.