BloodHound-MCP
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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.
BloodHound MCP
BloodHound MCP (Model Context Protocol) is an innovative extension of the BloodHound tool to enable Large Language Models (LLMs) to interact with and analyze Active Directory (AD) and Azure Active Directory (AAD) environments through natural language.## Features
- Natural Language Queries: Use conversational commands to query AD/AAD environments.
- LLM-Powered Analysis: Use LLMs to interpret and execute queries.
- Seamless Integration: Integrates with BloodHound data in Neo4j.
- Customizable: Configurable to specific environments and tools.## Configuration Update configuration to connect Neo4j and adjust server settings for environment needs.