BloodHound-MCP-AI

作者 MorDavid已验证

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.

374
Stars
56
Forks
Python
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/MorDavid/BloodHound-MCP-AI

快速入门

使用 BloodHound-MCP-AI 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

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

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


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

常见问题

What is BloodHound-MCP-AI?

BloodHound-MCP-AI is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by MorDavid. 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. It has 374 GitHub stars.

Is BloodHound-MCP-AI safe to use?

Yes. BloodHound-MCP-AI passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install BloodHound-MCP-AI?

Clone the repository with "git clone https://github.com/MorDavid/BloodHound-MCP-AI" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is BloodHound-MCP-AI written in?

BloodHound-MCP-AI is primarily written in Python. It is open-source under MorDavid on GitHub, so you can review or fork the full source.

Are there alternatives to BloodHound-MCP-AI?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh BloodHound-MCP-AI against similar tools.

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