BloodHound MCP AI
pipStandardBloodHound-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.
333510Updated 8 months ago
Overview
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.
Installation
1Install the package
pip
pip install BloodHound-MCP-AI2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"mordavid-bloodhound-mcp-ai-github": {
"command": "uvx",
"args": [
"pip install BloodHound-MCP-AI"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from BloodHound MCP AI?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for BloodHound MCP AI
Configuration
API Key Required
This server requires an API key from BloodHound MCP AI. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| BLOODHOUND_MCP_AI_API_KEY | Yes | Your BloodHound MCP AI API key |
Usage Examples
List Resources
"What resources are available in BloodHound MCP AI?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in BloodHound MCP AI"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in BloodHound MCP AI with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with BloodHound MCP AI
Related skills
Browse all skillsNeed help with MCP integration?
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.