Integrations
Integrates with GitHub for repository access and installation, allowing users to clone and use the BloodHound-MCP codebase.
Connects to Neo4j database containing BloodHound Active Directory data, enabling natural language queries to analyze attack paths, security vulnerabilities, and domain relationships.
Uses Python to run the MCP server and execute BloodHound queries, supporting natural language analysis of Active Directory security data.
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
✨ 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:Copy
- Install dependencies:Copy
- Configure the MCP ServerCopy
🚀 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.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
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.
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