BloodHound MCP

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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.

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362

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Forks

53

Contributors

1

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PyPI DL / wk

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Language

Python

Last push

2025-06-02

About BloodHound MCP

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. 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…

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

BloodHound MCP alternatives

Projects in the same category, closest in size — picked by data, not opinion.

io.github.zhongweili/nanobanana-mcp-serverStable364 ★
PageIndex MCPStable365 ★
io.github.tomyud1/godot-mcpStable365 ★
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Frequently asked questions

Is BloodHound MCP still maintained?
Activity is low: the last push was on 2025-06-02 (381 days before our latest snapshot).
What are the best BloodHound MCP alternatives?
Closest by category and size in our data: io.github.zhongweili/nanobanana-mcp-server, PageIndex MCP, io.github.tomyud1/godot-mcp — full list with live signals above.

Topics

mcpmcp-serverbloodhoundbloodhoundadcypher-query-language

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Tracked since 2026-06-17 · data as of 2026-06-18 · 0 open issues ·