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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](https://www.linkedin.com/posts/mor-david-cyber_bloodhound-ai-cybersec-activity-7310921541213470721-N390).
## 🔍 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](https://t.me/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
1. Clone this repository:
```bash
git clone https://github.com/your-username/MCP-BloodHound.git
cd MCP-BloodHound
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Configure the MCP Server
```bash
"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
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*Note: This is not an official Anthropic product. BloodHound-MCP is a community-driven integration between BloodHound and MCP.*
