CLIO Hdf5 for Gemini CLI

io.github.iowarp/hdf5-mcp

HDF5 FastMCP - Scientific Data Access for AI Agents | CLIO Kit MCP Server

client:Gemini CLI transport:stdio runtime:pypi

Install CLIO Hdf5 in Gemini CLI

~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json

{
  "mcpServers": {
    "hdf5-mcp": {
      "command": "uvx",
      "args": [
        "clio-kit"
      ]
    }
  }
}

Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs