Official MCP server implementation for the Qdrant vector search engine
An MCP server that integrates with the Qdrant vector search engine. It provides semantic memory capabilities to LLM applications, enabling efficient storage and retrieval of information.
LLM conversation memory — Store conversation history and important information in semantic memory, enabling LLMs to generate contextually aware responses.
Document search system — Store large document collections in Qdrant and quickly retrieve semantically relevant documents in response to user queries.
Knowledge base construction — Organize and store domain-specific knowledge to provide a foundation for AI assistants to deliver accurate, contextual answers.