Milvus
Createdstephen37
Enables LLM applications to seamlessly access and utilize Milvus vector database functionality via the Model Context Protocol.
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.
