What are the prerequisites for using this server?
Python 3.10 or higher, a running Milvus instance, and `uv` installed.
@stephen37
基本信息
Model Context Protocol Servers for Milvus
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-milvus-stephen37": {
"command": "uv",
"args": [
"run",
"src/mcp_server_milvus/server.py",
"--milvus-uri",
"http://localhost:19530"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Server for Milvus provides access to the Milvus vector database through the Model Context Protocol. It enables LLM applications like Claude Desktop and Cursor to search, manage, and query vector data using natural language or programmed instructions.
Run the server directly with uv via uv run src/mcp_server_milvus/server.py --milvus-uri http://localhost:19530. Configure it as an MCP server in Claude Desktop or Cursor by specifying the command and arguments. Alternatively, set environment variables MILVUS_URI, MILVUS_TOKEN, and MILVUS_DB.
Python 3.10 or higher, a running Milvus instance, and `uv` installed.
Pass the URI via the `--milvus-uri` argument or set the `MILVUS_URI` environment variable.
Restart the application after configuring the MCP server; also try pressing the refresh button in Cursor’s MCP settings.
Set the `MILVUS_TOKEN` environment variable with your authentication token.
It uses stdio transport, as shown in the Cursor configuration with “Type: stdio”.

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