BloodHound MCP AI

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

Verified on MseeP

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