Qdrant Knowledge Graph

Integrates a knowledge graph with semantic search capabilities, enabling efficient storage, retrieval, and querying of structured information for context-aware applications.

This MCP server, developed by Jarad DeLorenzo, provides a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for managing entities, relations, and observations in a graph structure. The implementation focuses on efficient storage and retrieval, using both file-based persistence and Qdrant for vector search. It's particularly useful for applications requiring structured knowledge representation with semantic querying, enabling use cases such as intelligent information retrieval, relationship analysis, and context-aware AI interactions without directly dealing with complex graph database operations.