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mcp/harbor
Gemini CLI

exerciseapi for Gemini CLI

io.github.westvegh/exerciseapi

Give your AI coding agent direct access to 2,198+ exercises via exerciseapi.dev

client:Gemini CLI transport:stdio runtime:npm

Install exerciseapi in Gemini CLI

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

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{
  "mcpServers": {
    "exerciseapi": {
      "command": "npx",
      "args": [
        "-y",
        "@exerciseapi/mcp-server"
      ],
      "env": {
        "EXERCISEAPI_KEY": "<EXERCISEAPI_KEY>"
      }
    }
  }
}

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

exerciseapi in other clients

exerciseapi MCP server