by MorDavid
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.
# Add to your Claude Code skills
git clone https://github.com/MorDavid/BloodHound-MCP-AIGuides for using mcp servers skills like BloodHound-MCP-AI.
Last scanned: 5/27/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-27T08:04:53.905Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": false
}BloodHound-MCP-AI is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by MorDavid. 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. It has 374 GitHub stars.
Yes. BloodHound-MCP-AI passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/MorDavid/BloodHound-MCP-AI" and add it to your Claude Code skills directory (see the Installation section above).
BloodHound-MCP-AI is primarily written in Python. It is open-source under MorDavid on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh BloodHound-MCP-AI against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.

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:
Join our Telegram channel for updates, tips, and discussion:
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.