MCP server for Milvus
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# 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/stephen37/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 ``` ## Supported Applications This MCP server can be used with various LLM applications that support the Model Context Protocol: - **Claude Desktop**: Anthropic's desktop application for Claude - **Cursor**: AI-powered code editor with MCP support in its Composer feature - **Custom MCP clients**: Any application implementing the MCP client specification ## Usage with Claude Desktop 1. Install Claude Desktop from https://claude.ai/download 2. Open your Claude Desktop configuration: - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` 3. Add the following configuration: ```json { "mcpServers": { "milvus": { "command": "/PATH/TO/uv", "args": [ "--directory", "/path/to/mcp-server-milvus/src/mcp_server_milvus", "run", "server.py", …
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