Qdrant Retrieve MCP Server

Name: Qdrant Retrieve MCP Server
Author: gergelyszerovay

@gergelyszerovay

Repository

About Qdrant Retrieve MCP Server

MCP server for semantic search with Qdrant vector database

#qdrant #semantic-search #mcp-server

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

Retrieves semantically similar documents from multiple Qdrant vector store collections based on multiple queries

Overview

What is Qdrant Retrieve MCP Server?

An MCP server that enables semantic search across multiple Qdrant vector database collections. It supports multi-query input, configurable result counts, and collection source tracking, connecting to any Qdrant instance specified by URL.

How to use Qdrant Retrieve MCP Server?

Configure it in Claude Desktop by adding an MCP server entry with the command npx -y @gergelyszerovay/mcp-server-qdrant-retrive and optionally set the QDRANT_API_KEY environment variable. Alternatively, run it from the command line using flags like --qdrantUrl, --enableHttpTransport, or --embeddingModelType.

Key features of Qdrant Retrieve MCP Server

Semantic search across multiple Qdrant collections
Multi-query support (array of query texts)
Configurable result count (topK)
Collection source tracking in results
Stdio and HTTP transport options
Optional REST API server

Use cases of Qdrant Retrieve MCP Server

Retrieve semantically similar documents from multiple Qdrant collections in one request
Integrate semantic search into AI assistants via the MCP protocol
Power applications that need multi-query document retrieval with similarity scores
Combine vector search with LLM tools for knowledge retrieval

FAQ from Qdrant Retrieve MCP Server

What embedding model does the server use?

The default embedding model is Xenova/all-MiniLM-L6-v2. It can be customized via the --embeddingModelType command-line option.

How do I connect to my Qdrant instance?

Set the Qdrant URL using the --qdrantUrl option (default: http://localhost:6333). If authentication is required, provide an API key via the QDRANT_API_KEY environment variable.