VOOZH about

URL: https://glama.ai/mcp/servers/gergelyszerovay/mcp-server-qdrant-retrieve

⇱ Qdrant Retrieve MCP Server by gergelyszerovay | Glama


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.

Related MCP server: Qdrant MCP Server

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
A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/gergelyszerovay/mcp-server-qdrant-retrieve'

If you have feedback or need assistance with the MCP directory API, please join our Discord server