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Qdrant Retrieve

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MCP server for semantic search with Qdrant vector database

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About

MCP server for semantic search with Qdrant vector database

README

MCP server for semantic search with Qdrant vector database.

Features

  • Semantic search across multiple collections
  • Multi-query support
  • Configurable result count
  • Collection source tracking

Note: The server connects to a Qdrant instance specified by URL.

Note 2: The first retrieve might be slower, as the MCP server downloads the required embedding model.

API

Tools

  • qdrant_retrieve
    • Retrieves semantically similar documents from multiple Qdrant vector store collections based on multiple queries
    • Inputs:
      • collectionNames (string[]): Names of the Qdrant collections to search across
      • topK (number): Number of top similar documents to retrieve (default: 3)
      • query (string[]): Array of query texts to search for
    • Returns:
      • results: Array of retrieved documents with:
        • query: The query that produced this result
        • collectionName: Collection name that this result came from
        • text: Document text content
        • score: Similarity score between 0 and 1

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "qdrant": {
      "command": "npx",
      "args": ["-y", "@gergelyszerovay/mcp-server-qdrant-retrive"],
      "env": {
        "QDRANT_API_KEY": "your_api_key_here"
      }
    }
  }
}

Command Line Options

MCP server for semantic search with Qdrant vector database.

Options
  --enableHttpTransport      Enable HTTP transport [default: false]
  --enableStdioTransport     Enable stdio transport [default: true]
  --enableRestServer         Enable REST API server [default: false]
  --mcpHttpPort=<port>       Port for MCP HTTP server [default: 3001]
  --restHttpPort=<port>      Port for REST HTTP server [default: 3002]
  --qdrantUrl=<url>          URL for Qdrant vector database [default: http://localhost:6333]
  --embeddingModelType=<type> Type of embedding model to use [default: Xenova/all-MiniLM-L6-v2]
  --help                     Show this help message

Environment Variables
  QDRANT_API_KEY            API key for authenticated Qdrant instances (optional)

Examples
  $ mcp-qdrant --enableHttpTransport
  $ mcp-qdrant --mcpHttpPort=3005 --restHttpPort=3006
  $ mcp-qdrant --qdrantUrl=http://qdrant.example.com:6333
  $ mcp-qdrant --embeddingModelType=Xenova/all-MiniLM-L6-v2

from github.com/gergelyszerovay/mcp-server-qdrant-retrieve

Installing Qdrant Retrieve

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/gergelyszerovay/mcp-server-qdrant-retrieve

FAQ

Is Qdrant Retrieve MCP free?

Yes, Qdrant Retrieve MCP is free — one-click install via Unyly at no cost.

Does Qdrant Retrieve need an API key?

No, Qdrant Retrieve runs without API keys or environment variables.

Is Qdrant Retrieve hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Qdrant Retrieve in Claude Desktop, Claude Code or Cursor?

Open Qdrant Retrieve on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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