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Mcp Server Qdrant

An official Qdrant Model Context Protocol (MCP) server implementation

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Price

Free

API key required

Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

mcp-server-qdrant: A Qdrant MCP server

[](https://smithery.ai/protocol/mcp-server-qdrant)

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Overview

An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database.

Components

Tools

  1. 1.qdrant-store
  • Store some information in the Qdrant database
  • Input:
  • information (string): Information to store
  • metadata (JSON): Optional metadata to store
  • collection_name (string): Name of the collection to store the information in. This field is required if there are no default collection name.

If there is a default collection name, this field is not enabled.

  • Returns: Confirmation message
  1. 1.qdrant-find
  • Retrieve relevant information from the Qdrant database
  • Input:
  • query (string): Query to use for searching
  • collection_name (string): Name of the collection to store the information in. This field is required if there are no default collection name.

If there is a default collection name, this field is not enabled.

  • Returns: Information stored in the Qdrant database as separate messages

Environment Variables

The configuration of the server is done using environment variables:

Don't lose this

Three weeks from now, you'll want Mcp Server Qdrant again. Will you remember where to find it?

Save it to your library and the next time you need Mcp Server Qdrant, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. An official Qdrant Model Context Protocol (MCP) server implementation. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

2

Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.

What's New

Version 1.0.06 days ago

Imported from GitHub

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