Mcp Server Qdrant

The Qdrant MCP server provides semantic memory capabilities by integrating the Qdrant vector search engine with language models through the Model Context Protocol. It offers two main tools: `qdrant-store` for persisting information with optional metadata into Qdrant collections, and `qdrant-find` for retrieving semantically relevant information through vector search queries. The server solves the problem of enabling LLMs to maintain and access persistent, semantically-indexed memory across conversations by acting as a memory layer on top of a vector database.