Gemini CLI readygpu: hardware for local AI hardware_details
How to: Gemini CLI readygpu: hardware for local AI hardware_details
Add readygpu: hardware for local AI to Gemini CLI
-
01
Open ~/.gemini/settings.json and merge this in. Keep any servers already there.
{
"mcpServers": {
"readygpu": {
"httpUrl": "https://readygpu.com/api/mcp"
}
}
}-
02
Save the file and restart Gemini CLI.
-
03
Ask for something hardware_details does. Gemini CLI lists the server's tools on connect and calls hardware_details itself — you do not invoke it by name.
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04
If nothing happens, check the server is running and that readygpu: hardware for local AI's identifier in your config matches the one above exactly.
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs
Same tool, other clients
This list was read from the server itself, by connecting to it and calling tools/list on 5 November 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.