What are the prerequisites for using this server?
Python 3.10 or higher, a running Milvus instance, and `uv` installed.
@stephen37
Basic information
Model Context Protocol Servers for Milvus
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-milvus-stephen37": {
"command": "uv",
"args": [
"run",
"src/mcp_server_milvus/server.py",
"--milvus-uri",
"http://localhost:19530"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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