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Record · qdrant-mcp-sMCP serverOpen sourceVerified Sep 23, 2026

Qdrant MCP Server

Qdrant's official MCP server: store and retrieve semantic memories in a Qdrant vector database.

Sources and review

Checked against public documentation on . Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.

Best for

Giving an assistant long-term semantic memory, or searching a code snippet library, backed by Qdrant.

About Qdrant MCP Server

Qdrant's official MCP server acts as a semantic memory layer on top of the Qdrant vector search engine, with tools to store information with optional metadata and to find relevant entries by meaning. It runs with uvx or Docker over stdio or SSE, and embeds text with a configurable FastEmbed model.

Qdrant MCP Server is an open-source project written primarily in Python, with 1.5k stars on GitHub. It was last updated in September 2026.

Add Qdrant MCP Server to your MCP client

Generated from the launch command in the project's README. Your client starts the server on demand.

Claude CodeRun in your terminal
claude mcp add qdrant-mcp-server -e QDRANT_URL=http://localhost:6333 -e COLLECTION_NAME=my-collection -- uvx mcp-server-qdrant
Cursor~/.cursor/mcp.json or .cursor/mcp.json
{
  "mcpServers": {
    "qdrant-mcp-server": {
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "COLLECTION_NAME": "my-collection"
      }
    }
  }
}
VS Code.vscode/mcp.json
{
  "servers": {
    "qdrant-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "COLLECTION_NAME": "my-collection"
      }
    }
  }
}
Claude Desktopclaude_desktop_config.json
{
  "mcpServers": {
    "qdrant-mcp-server": {
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "COLLECTION_NAME": "my-collection"
      }
    }
  }
}
Codex~/.codex/config.toml
[mcp_servers.qdrant-mcp-server]
command = "uvx"
args = ["mcp-server-qdrant"]
env = { QDRANT_URL = "http://localhost:6333", COLLECTION_NAME = "my-collection" }

Check the project's README for required accounts, keys and permissions before connecting. Setup guide for each client →

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