mcp-server-qdrant
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The mcp-server-qdrant is a Model Context Protocol server designed to integrate with the Qdrant vector search engine, providing a semantic memory layer for storing and retrieving information.
The mcp-server-qdrant is an official Model Context Protocol server that facilitates the storage and retrieval of memories using the Qdrant vector search engine. It acts as a semantic memory layer, allowing seamless integration with LLM applications and external data sources. The server is configured using environment variables and supports various transport protocols, including stdio and SSE. It can be installed using uvx, Docker, or Smithery, and is compatible with platforms like VS Code, Cursor, and Claude Code. The server supports storing and finding information in the Qdrant database, making it a versatile tool for AI-powered applications.
Features
- Semantic memory layer on Qdrant
- Supports stdio and SSE transport protocols
- Configurable via environment variables
- Compatible with various platforms
- Supports FastEmbed models
Tools
- qdrant-store: Store information in the Qdrant database with optional metadata.
- qdrant-find: Retrieve relevant information from the Qdrant database using a query.
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