Gemini CLI corpusAI Cloud Pricing gpu_models

How to: Gemini CLI corpusAI Cloud Pricing gpu_models

client:Gemini CLI transport:streamable-http tool:gpu_models

Add corpusAI Cloud Pricing to Gemini CLI

01
Open ~/.gemini/settings.json and merge this in. Keep any servers already there.

{
  "mcpServers": {
    "corpus-cloud-pricing-mcp": {
      "httpUrl": "https://cloud.trycorpus.ai/mcp"
    }
  }
}

02
Save the file and restart Gemini CLI.
03
Ask for something gpu_models does. Gemini CLI lists the server's tools on connect and calls gpu_models itself — you do not invoke it by name.
04
If nothing happens, check the server is running and that corpusAI Cloud Pricing'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

Set these first

corpusAI Cloud Pricing will not start until these are set, so gpu_models never becomes available.

CORPUS_PAYER_KEY
CORPUS_CHAIN
CORPUS_MAX_USDC
CORPUS_BASE_URL

Same tool, other clients

This list was read from the server itself, by connecting to it and calling tools/list on 3 October 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.

corpusAI Cloud Pricing MCP server