This MCP server acts as a semantic memory layer on top of Qdrant’s vector database, enabling AI applications to store information with metadata and retrieve semantically relevant content via natural language queries. It exposes two primary tools: qdrant-store for persisting information and qdrant-find for semantic retrieval. The server integrates with AI coding assistants like Claude, Cursor, and Windsurf, and is configured entirely via environment variables.