Confidential guide on numerology and astrology, based of GG33 Public information

Bloodhound-MCP-AI
Bloodhound-MCP-AI est une intégration qui relie Bloodhound à l'IA via le protocole de contexte du modèle, permettant aux professionnels de la sécurité d'analyser les chemins d'attaque Active Directory en utilisant un langage naturel au lieu de requêtes complexes.
3 years
Works with Finder
1
Github Watches
6
Github Forks
57
Github Stars
BloodHound-MCP
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
✨ 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
-
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" } } }
🚀 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"
🔐 Security Considerations
This tool is designed for legitimate security assessment purposes. Always:
- Obtain proper authorization before analyzing any Active Directory environment
- Handle BloodHound data as sensitive information
- Follow responsible disclosure practices for any vulnerabilities discovered
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- The BloodHound team for creating an amazing Active Directory security tool
- The security community for continuously advancing AD security practices
Note: This is not an official Anthropic product. BloodHound-MCP is a community-driven integration between BloodHound and MCP.
相关推荐
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease
I find academic articles and books for research and literature reviews.
Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.
Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX
MCP Server pour récupérer le contenu de la page Web à l'aide du navigateur sans tête du dramwright.
Un puissant plugin Neovim pour gérer les serveurs MCP (Protocole de contexte modèle)
Pont entre les serveurs Olllama et MCP, permettant aux LLM locaux d'utiliser des outils de protocole de contexte de modèle
La communauté du curseur et de la planche à voile, recherchez des règles et des MCP
🧑🚀 全世界最好的 LLM 资料总结 (数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Résumé des meilleures ressources LLM du monde.
L'application tout-en-un desktop et Docker AI avec chiffon intégré, agents AI, constructeur d'agent sans code, compatibilité MCP, etc.
Serveurs MCP géniaux - une liste organisée de serveurs de protocole de contexte de modèle
Reviews

user_qHx2KDN7
As a dedicated user of BloodHound-MCP-AI, I can confidently say that this tool has revolutionized my approach to network analysis and penetration testing. MorDavid has created an exceptional AI-driven platform that is both intuitive and powerful. For anyone serious about cybersecurity, I highly recommend exploring this remarkable tool.