Qdrant MCP Server

Enables semantic search in Qdrant vector databases using OpenAI embeddings.

Local serverstdioPython★ 7

What is the Qdrant MCP Server?

Enables semantic search in Qdrant vector databases using OpenAI embeddings.

What you get

This MCP server provides vector search capabilities using Qdrant vector database and OpenAI embeddings.

  • Semantic search in Qdrant collections using OpenAI embeddings
  • List available collections
  • View collection information

Configuration and credentials

  • Python 3.10+ installed - Qdrant instance (local or remote) - OpenAI API key

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
query_collectionSearch a Qdrant collection using semantic search with OpenAI embeddings.
list_collections
collection_info

Configuration

  • Python 3.10+ installed - Qdrant instance (local or remote) - OpenAI API key
VariableDescriptionRequired
OPENAI_API_KEYCredential the server authenticates with.Yes
QDRANT_URLEndpoint or connection string the server talks to.Yes
QDRANT_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • “Use Qdrant to query collection.”
  • “Use Qdrant to list collections.”
  • “Use Qdrant to collection info.”

Frequently asked questions

Yes! You can install it in Claude Desktop using the `mcp install` command, enabling semantic search within your Claude environment.