Qdrant

Official

Implement semantic memory layer on top of the Qdrant vector search engine

About Qdrant MCP Server

Qdrant is an MCP server in the Data category. It exposes tools, resources to connected AI applications, enabling them to interact with qdrant capabilities through the standardized Model Context Protocol.

Features

Tools
Resources

Category

Data
Getting Started

To use the Qdrant MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the Qdrant MCP server
  3. Authenticate with your Qdrant credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the Qdrant MCP server
const server = await mcp.connect("qdrant");

// List available tools
const tools = await server.tools.list();

// List available resources
const resources = await server.resources.list();

// List available prompts
const prompts = await server.prompts.list();
                      
Installation

npm

npm install @mcp/server-qdrant

pip

pip install mcp-server-qdrant
Compatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client