BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.

What is MorDavid BloodHound MCP AI

BloodHound-MCP

!BloodHound-MCP

Model Context Protocol (MCP) Server for BloodHound

BloodHound-MCP is a powerful integration that brings the capabilities of Model Context Procotol (MCP) Server to BloodHound, the industry-standard tool for Active Directory security analysis. This integration allows you to analyze BloodHound data using natural language, making complex Active Directory attack path analysis accessible to everyone.

🥇 First-Ever BloodHound AI Integration!
This is the first integration that connects BloodHound with AI through MCP, originally announced here.

🔍 What is BloodHound-MCP?

BloodHound-MCP combines the power of:

  • BloodHound: Industry-standard tool for visualizing and analyzing Active Directory attack paths
  • Model Context Protocol (MCP): An open protocol for creating custom AI tools, compatible with various AI models
  • Neo4j: Graph database used by BloodHound to store AD relationship data

With over 75 specialized tools based on the original BloodHound CE Cypher queries, BloodHound-MCP allows security professionals to:

  • 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

📱 Community

Join our Telegram channel for updates, tips, and discussion:

  • Telegram: root_sec

🌟 Star History

*Star History Chart*

✨ Features

  • Natural Language Interface: Query BloodHound data using plain English
  • Comprehensive Analysis Categories:
    • Domain structure mapping
    • Privilege escalation paths
    • Kerberos security issues (Kerberoasting, AS-REP Roasting)
    • Certificate services vulnerabilities
    • Active Directory hygiene assessment
    • NTLM relay attack vectors
    • Delegation abuse opportunities
    • And much more!

📋 Prerequisites

  • BloodHound 4.x+ with data collected from an Active Directory environment
  • Neo4j database with BloodHound data loaded
  • Python 3.8 or higher
  • MCP Client

🔧 Installation

  1. Clone this repository:

    git clone https://github.com/your-username/MCP-BloodHound.git
    cd MCP-BloodHound
    
  2. Install dependencies:

    pip install -r requirements.txt
    
  3. Configure the MCP Server

    "mcpServers": {
        "BloodHound-MCP": {
            "command": "python",
            "args": [
                "<Your_Path>\\BloodHound-MCP.py"
            ],
            "env": {
                "BLOODHOUND_URI": "bolt://localhost:7687",
                "BLOODHOUND_USERNAME": "neo4j",
                "BLOODHOUND_PASSWORD": "bloodhoundcommunityedition"
            }
        }
    }
    

🚀 Usage

Example queries you can ask through the MCP:

  • "Show me all paths from kerberoastable users to Domain Admins"
  • "Find computers where Domain Users have local admin rights"
  • "Identify Domain Controllers vulnerable to NTLM relay attacks"
  • "Map all Active Directory certificate services vulnerabilities"
  • "Generate a comprehensive security report for my domain"
  • "Find inactive privileged accounts"
  • "Show me attack paths to high-value targets"

🔐 Security Considerations

This tool is designed for legitimate security assessment purposes. Always:

  • Obtain proper authorization before analyzing any Active Directory environment
  • Handle BloodHound data as sensitive information
  • Follow responsible disclosure practices for any vulnerabilities discovered

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • The BloodHound team for creating an amazing Active Directory security tool
  • The security community for continuously advancing AD security practices

Note: This is not an official Anthropic product. BloodHound-MCP is a community-driven integration between BloodHound and MCP.

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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