Milvus

About

Milvus connects LLM applications with a powerful vector database using the Model Context Protocol (MCP). This server provides a standardized way for applications like Claude Desktop and Cursor to interact with Milvus, enabling features like vector similarity search, full-text search, and data management directly within the LLM workflow. Through MCP, LLMs gain access to external data sources, enhancing AI-powered IDEs, chat interfaces, and custom AI workflows with relevant contextual information from Milvus.

Key Features

• Provides tools for searching and querying data within Milvus collections.
• Includes tools for performing various data operations like inserting, upserting, and deleting data.
• 6 GitHub stars
• Supports hybrid search combining vector similarity and attribute filtering.
• Offers tools for managing Milvus collections, including creation, loading, and releasing.
• Supports index management, enabling the creation and retrieval of index information.

Use Cases

• Enhancing Claude Desktop with Milvus-powered data retrieval for context-aware AI assistance.
• Integrating Milvus vector search capabilities into Cursor's Composer feature for AI-driven code completion and analysis.
• Building custom LLM applications that require access to vector embeddings stored in Milvus.