Qdrant

The 'mcp-server-qdrant' project provides a Model Context Protocol (MCP) server implementation for the Qdrant vector search engine. This server acts as a semantic memory layer, allowing applications to store and retrieve information using vector search capabilities. By integrating with the Qdrant database, this project enables seamless interaction between large language models (LLMs) and external data sources, facilitating the creation of AI-powered applications like IDEs, chat interfaces, and custom workflows. The server offers two main tools: 'qdrant-store' for storing information with optional metadata and 'qdrant-find' for retrieving relevant information based on queries. This project is particularly useful for developers looking to enhance AI applications with efficient data retrieval and storage mechanisms.