BloodHound-MCP
BloodHound MCP utilizes the power of Large Language Models to facilitate natural language interaction with Active Directory and Azure Active Directory environments. It integrates seamlessly with existing BloodHound data stored in Neo4j, offering user-friendly and complex analysis through conversational commands.
What is BloodHound MCP?
BloodHound MCP is an extension of the BloodHound tool that allows users to interact with AD/AAD environments using natural language queries powered by LLMs.
How does BloodHound MCP integrate with existing systems?
It integrates with existing BloodHound data stored in Neo4j, providing a seamless interface for conducting complex analyses.
Can BloodHound MCP be customized?
Yes, it is customizable to fit specific environments and tool requirements.
What are the key features of BloodHound MCP?
Key features include natural language queries, LLM-powered analysis, seamless integration, and customization options.
How do I configure the MCP server?
Configuration involves setting up the Neo4j database connection and adjusting server settings to match your environment.