mcp-server-qdrant

[](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.

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.

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. 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

The configuration of the server is done using environment variables:

| Name | Description