Q

Qdrant MCP Server

Store and search vector embeddings with Qdrant from AI agents.

open-source 64/100 AI & Machine Learning qdrant vector-database embeddings semantic-search rag ai

A Model Context Protocol server for Qdrant vector database. Enables AI agents to store, search, and manage vector embeddings for semantic search and retrieval-augmented generation.

Supports collection management, point upsert, similarity search with filtering, and payload management for building RAG applications.

Install

pip install mcp-server-qdrant

MCP Client Config

{
  "mcpServers": {
    "qdrant": {
      "command": "python",
      "args": [
        "-m",
        "mcp_server_qdrant"
      ],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "QDRANT_API_KEY": "<your-api-key>"
      }
    }
  }
}

Required Environment Variables

  • QDRANT_URL

Capabilities

Tools

create_collectionupsert_pointssearchdelete_collectionget_point

Compatible With

Claude Desktop Claude Code Cursor Windsurf

Pricing

Server and Qdrant are free. Qdrant Cloud available for managed hosting.

Metrics

1,360

GitHub Stars

7,500

Installs

580

Weekly

55

Open Issues

View Repository By Qdrant

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