
猎犬MCP-AI
BloodHound-MCP-AI是整合,它通过模型上下文协议将Bloodhound与AI连接起来,从而使安全专业人员可以使用自然语言而不是复杂的Cypher查询来分析活动目录攻击路径。
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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
✨ 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
-
Clone this repository:
git clone https://github.com/your-username/MCP-BloodHound.git cd MCP-BloodHound
-
Install dependencies:
pip install -r requirements.txt
-
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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Reviews

user_qHx2KDN7
As a dedicated user of BloodHound-MCP-AI, I can confidently say that this tool has revolutionized my approach to network analysis and penetration testing. MorDavid has created an exceptional AI-driven platform that is both intuitive and powerful. For anyone serious about cybersecurity, I highly recommend exploring this remarkable tool.