BloodHound-MCP-AI

by MorDavid · Python · ★ 364

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.

#ai#bloodhound#bloodhoundad#cypher-query-language#mcp#mcp-server

Install

pip install git+https://github.com/MorDavid/BloodHound-MCP-AI.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "bloodhound-mcp-ai": {
      "command": "uvx",
      "args": [
        "git+https://github.com/MorDavid/BloodHound-MCP-AI.git"
      ]
    }
  }
}

From the README

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-731092154121347072…

Read full README on GitHub →

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