BloodHound-MCP
by MorDavid
BloodHound-MCP integrates Model Context Protocol (MCP) Server with BloodHound, enabling natural language analysis of Active Directory security. It allows users to query BloodHound data using plain English, making complex attack path analysis more accessible.
Last updated: N/A
What is BloodHound-MCP?
BloodHound-MCP is an integration that combines BloodHound, Model Context Protocol (MCP), and Neo4j to allow security professionals to query BloodHound data using natural language and discover complex attack paths in Active Directory environments.
How to use BloodHound-MCP?
To use BloodHound-MCP, you need BloodHound with data, a Neo4j database, Python 3.8+, and an MCP Client. After cloning the repository and installing dependencies, configure the MCP server with the provided example, then use natural language queries to analyze your Active Directory environment.
Key features of BloodHound-MCP
Natural Language Interface
Domain structure mapping
Privilege escalation paths
Comprehensive Analysis Categories
Use cases of BloodHound-MCP
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
FAQ from BloodHound-MCP
What is BloodHound?
What is BloodHound?
BloodHound is an industry-standard tool for visualizing and analyzing Active Directory attack paths.
What is MCP?
What is MCP?
MCP (Model Context Protocol) is an open protocol for creating custom AI tools, compatible with various AI models.
What is Neo4j?
What is Neo4j?
Neo4j is a graph database used by BloodHound to store Active Directory relationship data.
What type of queries can I ask?
What type of queries can I ask?
You can ask questions like 'Show me all paths from kerberoastable users to Domain Admins' or 'Find computers where Domain Users have local admin rights'.
Is this an official Anthropic product?
Is this an official Anthropic product?
No, BloodHound-MCP is a community-driven integration between BloodHound and MCP.