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Qdrant

@qdrant · github.com/qdrant/mcp-server-qdrant

Store and semantically retrieve memories in a Qdrant vector collection — a drop-in semantic memory layer.

Editor TestedAI & MLstdiolocal auth

GitHub

Install one command

terminal

$ uvx mcp-server-qdrant

Or add it with the Claude CLI: claude mcp add qdrant

Requires uvx (install via pip install uv)

Tools exposed 2 tools

qdrant_store

qdrant_find

Configuration claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "qdrant": {
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "<your-qdrant-url>",
        "QDRANT_API_KEY": "<your-qdrant-api-key>"
      }
    }
  }
}

Paste under mcpServers in your config, then restart Claude Desktop. For Claude Code, reference this server in your project's CLAUDE.md.

Qdrant

Install one command

Tools exposed 2 tools

Configuration claude_desktop_config.json

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