MCP Servers
Qdrant MCP Server
Last updated December 15, 2024
An official MCP server that integrates Qdrant vector search with AI assistants for semantic memory and retrieval.
Qdrant MCP Server is the official Model Context Protocol implementation for Qdrant, a high-performance vector search engine. It enables AI assistants and IDEs to store and retrieve information as semantic memory, making context-aware interactions and knowledge persistence possible. The server exposes tools for storing arbitrary information with metadata and retrieving relevant data using semantic queries. It integrates seamlessly with MCP-compatible environments such as Claude Desktop, Cursor, and Windsurf. Configurable via environment variables, the server supports both remote Qdrant instances and local databases, with embeddings powered by FastEmbed and Sentence Transformers.
Key features
- Store information with optional metadata in Qdrant
- Retrieve data using semantic search queries
- Supports both remote Qdrant and local database paths
- Configurable default collection names
- Embedding support via FastEmbed and Sentence Transformers
- Acts as a semantic memory layer for AI assistants
- Environment variable–based configuration
- Official Qdrant-maintained implementation
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