Qdrant
Official
Implement semantic memory layer on top of the Qdrant vector search engine
About Qdrant MCP Server
The Qdrant MCP server provides a comprehensive interface for AI applications to interact with qdrant features. It enables AI assistants to help with various tasks related to data workflows.
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");
// Authenticate
await server.authenticate();
// Use a tool
const result = await server.tools.listRepositories({
// Parameters
});
// Access a resource
const resource = await server.resources.repositoryContent({
// Parameters
});
// Use a prompt
const response = await server.prompts.summarizePR({
// Parameters
});
Installation
npm
npm install @mcp/server-qdrant
pip
pip install mcp-server-qdrant
Compatible With
Claude for Desktop
Perplexity
Cursor
MCP Agent Framework