Database Management
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Qdrant

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Connects language models to a Qdrant vector database for storing and retrieving information.

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About

Acts as a Model Context Protocol (MCP) server, providing a semantic memory layer on top of the Qdrant vector search engine. It allows language models to store and retrieve information within a Qdrant database using tools like 'qdrant-store' for storing information and 'qdrant-find' for retrieving relevant information based on queries. Configuration is managed through environment variables, and the server supports various transport protocols, including stdio and Server-Sent Events (SSE), making it compatible with a wide range of MCP clients like Cursor and Claude.

Key Features

  • Integrates with Qdrant vector search engine.
  • Supports storing and retrieving information using dedicated tools.
  • Configurable via environment variables.
  • Supports multiple transport protocols (stdio, SSE).
  • Compatible with MCP-enabled clients like Cursor and Claude.

Use Cases

  • Adding semantic memory to language models.
  • Code search tool for IDEs like Cursor.
  • Enhancing AI-powered chat interfaces with context from Qdrant.