BloodHound MCP

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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Exposes a simple website fetching tool for retrieving web content, supporting local development and cloud deployment with real-time communication via Server-Sent Events.

Integrates with Microsoft Word documents to enable reading, writing, and editing of text, tables, and images for automated document processing and content generation.

Integrates with the Docling library to provide document processing capabilities, including conversion to markdown, table extraction, and image handling with OCR support, enabling efficient analysis of structured and unstructured data from various document formats.

Provides deep git file-level forensics capabilities for tracking versions, analyzing diffs, examining commit contexts, and evaluating semantic changes in individual files.

Read, write, and manipulate local files through a controlled API.

Provides semantic document search and retrieval through vector embeddings, enabling context-aware responses backed by specific documentation sources

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