iflow-mcp_mcp-server-milvus

# MCP Server for Milvus > 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 contains a MCP server that provides access to [Milvus](https://milvus.io/) vector database functionality.  ## Prerequisites Before using this MCP server, ensure you have: - Python 3.10 or higher - A running [Milvus](https://milvus.io/) instance (local or remote) - [uv](https://github.com/astral-sh/uv) installed (recommended for running the server) ## Usage The recommended way to use this MCP server is to run it directly with `uv` without installation. This is how both Claude Desktop and Cursor are configured to use it in the examples below. If you want to clone the repository: ```bash git clone https://github.com/zilliztech/mcp-server-milvus.git cd mcp-server-milvus ``` Then you can run the server directly: ```bash uv run src/mcp_server_milvus/server.py --milvus-uri http://localhost:19530 ``` Alternatively you can change the .env file in the `src/mcp_server_milvus/` directory to set the environment variables and run the server with the following command: ```bash uv run src/mcp_server_milvus/server.py ``` ### Important: the .env file will have higher priority than the command line arguments. ### Running Modes The server supports two running modes: **stdio** (default) and **SSE** (Server-Sent Events). ### Stdio Mode (Default) - **Description**: Communicates with the client via standard input/output. This is the default mode if no mode is specified. - Usage: ```bash uv run src/mcp_server_milvus/server.py --milvus-uri http://localhost:19530 ``` ### SSE Mode - **Description**: Uses HTTP Server-Sent Events for communication. This mode allow…