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BloodHound MCP

by MorDavid

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:

🌟 Star History

✨ 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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security - not tested
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license - not found
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quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

BloodHound-MCP-AI は、モデル コンテキスト プロトコルを介して BloodHound と AI を接続する統合であり、セキュリティ専門家が複雑な Cypher クエリの代わりに自然言語を使用して Active Directory 攻撃パスを分析できるようにします。

  1. BloodHound 用モデルコンテキストプロトコル (MCP) サーバー
    1. 🔍 BloodHound-MCP とは何ですか?
      1. 📱 コミュニティ
        1. 🌟 スターの歴史
          1. ✨ 特徴
            1. 📋 前提条件
              1. 🔧 インストール
                1. 🚀 使用方法
                  1. 🔐 セキュリティに関する考慮事項
                    1. 📜 ライセンス
                      1. 🙏 謝辞

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