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MCP Server

Qdrant MCP Server

by Qdrant

Connect models to a Qdrant vector database for semantic memory.

OfficialPythonDatabases

About Qdrant

Acts as an MCP server providing a semantic memory layer on top of the Qdrant vector search engine. Includes 'qdrant-store' and 'qdrant-find' tools for storing and retrieving information. Supports stdio and SSE transport protocols and is compatible with MCP-enabled clients like Cursor and Claude.

Tags

vector-databasesemantic-searchmemoryembeddings

How to install Qdrant

Package
mcp-server-qdrant (pypi)
Transport
Local (stdio), Remote (SSE), Remote (Streamable HTTP)

Install or run

uvx mcp-server-qdrant

Client configuration

{
  "mcpServers": {
    "qdrant": {
      "command": "uvx",
      "args": [
        "mcp-server-qdrant"
      ],
      "env": {
        "QDRANT_URL": "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333",
        "QDRANT_API_KEY": "your_api_key",
        "COLLECTION_NAME": "your-collection-name",
        "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
      }
    }
  }
}

Copied from the official README — . Replace placeholder keys with your own credentials.

Client setup documented by the maintainer

ClientSetup steps in README
Claude DesktopYes
Claude CodeYes
CursorYes
VS CodeYes
WindsurfYes

“Not documented” means the README has no client-specific steps — most MCP clients can still run a local stdio server from the configuration above.

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