mcp-server-qdrant
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The mcp-server-qdrant project is designed to integrate Qdrant, a vector search engine, with the Model Context Protocol to provide a robust semantic memory layer. It allows users to store and retrieve data across a Qdrant database using standardized MCP tools, making it suitable for various AI applications.
Overview
- The project is an official Model Context Protocol (MCP) server for Qdrant, functioning as a semantic memory layer over the Qdrant vector search engine.
- It provides tools for storing (
qdrant-store
) and retrieving (qdrant-find
) information within the Qdrant database.
Components
- qdrant-store: Stores information with optional metadata in specified collections.
- qdrant-find: Retrieves relevant information from specified collections based on queries.
Installation
- Supports installation and operation using
uvx
, Docker, and Smithery.
Usage
- The server can be configured using environment variables or command-line tools.
- Supports various transport protocols, including
stdio
andsse
, with options for local or remote connections.
Integration
- Compatible with MCP-compatible clients like Cursor and VS Code, providing support for semantic code search and storage.