mcp-server-qdrant: A Qdrant MCP server
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
qdrant-store- Store some information in the Qdrant database
- Input:
information(string): Information to storemetadata(JSON): Optional metadata to storecollection_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
qdrant-find- Retrieve relevant information from the Qdrant database
- Input:
query(string): Query to use for searchingcollection_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
