BloodHound

BloodHound MCP enables Large Language Models to interact with Active Directory and Azure Active Directory environments through natural language queries. By connecting to a Neo4j database containing BloodHound data, this implementation allows users to perform complex security analysis without writing Cypher queries manually. The server leverages the MCP protocol to translate conversational commands into database operations, making it particularly valuable for security professionals who need to quickly identify attack paths, permission issues, or vulnerabilities in their directory services through intuitive language-based interactions.