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Qdrant

Vector search engine acting as a semantic memory layer for storing and retrieving information using natural language

vector-databaseqdrantembeddingssearchai

Installation

pip install mcp-server-qdrant

Configuration

{
  "mcpServers": {
    "qdrant": {
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "QDRANT_API_KEY": "your-qdrant-api-key",
        "COLLECTION_NAME": "claude-memory"
      }
    }
  }
}

How to use

  1. Run the installation command above (if needed)
  2. Open your Claude Code settings file (~/.claude/settings.json)
  3. Add the configuration to the mcpServers section
  4. Restart Claude Code to apply changes
View source on GitHub