The Qdrant MCP runs as a **local stdio server** connecting to a Qdrant instance: - **Local or Cloud**: Can connect to local Qdrant or Qdrant Cloud instances - **Data Storage**: All stored memories persist in your Qdrant database - **Embedding Generation**: Text is converted to vectors—be aware of what data you're storing - **API Keys**: Qdrant Cloud connections require API keys that should be kept secure **Security best practices**: Use a dedicated Qdrant collection for AI memories, be mindful of sensitive information stored in the database, secure your Qdrant instance with authentication, and regularly review stored data.

To start using the Qdrant MCP: 1. **Set up Qdrant**: Run Qdrant locally with Docker (`docker run -p 6333:6333 qdrant/qdrant`) or use Qdrant Cloud 2. **Configure environment**: Set `QDRANT_URL` and optionally `QDRANT_API_KEY` for cloud instances 3. **Add the server**: Configure your AI client with `uvx mcp-server-qdrant` 4. **Start remembering**: Ask your AI to store information and recall it later **Example prompts**: - "Remember that my preferred programming language is Python" - "What do you know about my project preferences?" - "Store this meeting summary for later reference"