Qdrant Retrieve

Semantic search using the Qdrant vector database.

Install

Install and configure the MCP from https://github.com/gergelyszerovay/mcp-server-qdrant-retrive now. Follow the repository's installation instructions, ask me for anything you can't complete yourself, and verify its tools load.

View source on GitHub

README

Qdrant Retrieve MCP Server

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