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:
- Install the MCP client SDK for your platform
- Connect to the Qdrant MCP server
- Authenticate with your Qdrant credentials
- 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-qdrantpip
pip install mcp-server-qdrantCompatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client