{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "dataproc",
  "version": "0.1.0",
  "description": "Manage Dataproc clusters and jobs.",
  "author": {
    "name": "Google LLC",
    "email": "data-cloud-ai-integrations@google.com"
  },
  "homepage": "https://cloud.google.com/dataproc",
  "repository": "https://github.com/gemini-cli-extensions/dataproc",
  "license": "Apache-2.0",
  "keywords": [
    "dataproc",
    "google-cloud",
    "big-data"
  ],
  "extensions": {
    "com.google.cloud.data.agent-plugins": {
      "config": [
        {
          "key": "DATAPROC_PROJECT",
          "title": "Project ID",
          "description": "ID of the Google Cloud project"
        },
        {
          "key": "DATAPROC_REGION",
          "title": "Location",
          "description": "Region of the Dataproc resources"
        }
      ],
      "gemini": {
        "mcpServerName": "dataproc",
        "contextFileName": "DATAPROC.md"
      },
      "codex": {
        "interface": {
          "displayName": "Dataproc",
          "shortDescription": "Manage Dataproc clusters and jobs.",
          "developerName": "Google LLC",
          "category": "Data & Analytics",
          "capabilities": [
            "Read",
            "Write"
          ],
          "defaultPrompt": [
            "You are a highly skilled data engineer and cloud architect. Your purpose is to help the developer manage Dataproc clusters and jobs and utilize data context throughout the entire software delivery cycle."
          ]
        }
      }
    }
  }
}