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MorDavid/BloodHound-MCP-AI

MorDavid/BloodHound-MCP-AI

BloodHound integration with AI through MCP
在 GitHub 查看 ↗直链 · 无中转页
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

BloodHound-MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Model Context Protocol (MCP) Server for BloodHound
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.
🔍 What is BloodHound-MCP?
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 creating custom AI tools, compatible with various AI models
- **Neo4j**: Graph database used by BloodHound to store AD relationship data
With over 75 specialized tools based on the original BloodHound CE Cypher queries, BloodHound-MCP allows security professionals to:
- Query BloodHound data using natural language
- Discover complex attack paths in Active Directory environments
- Assess Active Directory security posture more efficiently
- Generate detailed security reports for stakeholders
📱 Community
Join our Telegram channel for updates, tips, and discussion:
- **Telegram**: root_sec
🌟 Star History
✨ Features
- **Natural Language Interface**: Query BloodHound data using plain English
- **Comprehensive Analysis Categories**:
- Domain structure mapping
- Privilege escalation paths
- Kerberos security issues (Kerberoasting, AS-REP Roasting)
- Certificate services vulnerabilities
- Active Directory hygiene assessment
- NTLM relay attack vectors
- Delegation abuse opportunities
- And much more!
📋 Prerequisites
- BloodHound 4.x+ with data collected from an Active Directory environment
- Neo4j database with BloodHound data loaded
- Python 3.8 or higher
- MCP Client
🔧 Installation
1. Clone this repository:
2. Install dependencies:
3. Configure the MCP Server
🚀 Usage
Example queries you can ask through the MCP:
- "Show me all paths from kerberoastable users to Domain Admins"
- "Find computers where Domain Users have local admin rights"
- "Identify Domain Controllers vulnerable to NTLM relay attacks"
- "Map all Active Directory certificate services vulnerabilities"
- "Generate a comprehensive security report for my domain"
- "Find inactive privileged accounts"
- "Show me attack paths to high-value targets"
来源
awesome · https://github.com/MorDavid/BloodHound-MCP-AI
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