integration that connects BloodHound with AI through MCP, allowing security professionals to analyze Active Directory attack paths using natural language queries instead of Cypher.
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.
BloodHound-MCP combines the power of:
With over 75 specialized tools based on the original BloodHound CE Cypher queries, BloodHound-MCP allows security professionals to:
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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"
}
}
}
Example queries you can ask through the MCP:
This tool is designed for legitimate security assessment purposes. Always:
This project is licensed under the MIT License - see the LICENSE file for details.
Note: This is not an official Anthropic product. BloodHound-MCP is a community-driven integration between BloodHound and MCP.
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