Github Semantic Search for Remote Repositories

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.

Integrates with YApi for API management, enabling seamless access to API documentation for tasks like code generation, testing, and integration planning.

Builds a graph of Python code relationships to intelligently navigate codebases, prioritize relevant sections, and include README files while staying within token limits.

Integrates Stability AI's image generation and manipulation capabilities for editing, upscaling, and more via Stable Diffusion models.

Elasticsearch-based knowledge graph that tracks access patterns to prioritize recent, important, and frequently accessed information with advanced search capabilities and complete CRUD operations.

Integrates ArangoDB databases into workflows, enabling dynamic querying and analysis of document-oriented and graph data via AQL and document retrieval.