{
  "markdown": "# BigQuery Data Transfer Service Managed MCP Extension\n\n> **Preview:** This product is subject to the \"Pre-GA Offerings Terms\" in the\n> General Service Terms section of the\n> [Service Specific Terms](https://docs.cloud.google.com/terms/service-terms#1).\n> Pre-GA products and features are available \"as is\" and might have limited\n> support. For more information, see the\n> [launch stage descriptions](https://cloud.google.com/products#product-launch-stages).\n\nThe BigQuery Data Transfer Service managed MCP extension allows users to manage\nBQTS resources such as data sources, transfer configs and transfer runs via\nnatural language commands.\n\n## Why use the BigQuery Data Transfer Service managed MCP server?\n\nGoogle and Google Cloud\n[managed MCP servers](https://docs.cloud.google.com/mcp/overview) can be used in\nyour AI applications with enterprise-ready governance, security, and access\ncontrol.\n\n## Before you begin\n\n1.  In the Google Cloud console, on the\n    [project selector page](https://console.cloud.google.com/projectselector2/home/dashboard),\n    select or create a Google Cloud project. > **Note**: If you don't plan to\n    keep the resources that you create in this > procedure, create a project\n    instead of selecting an existing project. > After you finish these steps,\n    you can delete the project, removing all > resources associated with the\n    project.\n2.  Get your administrator to grant you the\n    [MCP Tool User role](https://docs.cloud.google.com/iam/docs/roles-permissions/mcp#mcp.toolUser)\n    (`roles/mcp.toolUser`) on the Google Cloud project. If you created a new\n    project, then you already have the required permissions.\n3.  Ensure your administrator has enabled the\n    [BigQuery Data Transfer API](https://console.cloud.google.com/marketplace/product/google/bigquerydatatransfer.googleapis.com)\n    on the Google Cloud project.\n\n## Configure authentication\n\nThis extension uses Google Application Default Credentials (ADC) to perform\nauthentication. To login with ADC, run the following command in your terminal:\n\n```bash\ngcloud auth application-default login\n```\n\nFor additional details, see the\n[ADC documentation](https://docs.cloud.google.com/docs/authentication/application-default-credentials#personal).\n\n## Install the extension\n\nTo install the extension, run the following command in your terminal:\n\n```bash\ngemini extensions install https://github.com/gemini-cli-extensions/bigquery-data-transfer-service\n```\n\n## Available tools\n\nTo see a complete list of available tools and their schemas, see the\n[BigQuery Data Transfer Service MCP reference](https://docs.cloud.google.com/bigquery/docs/reference/datatransfer/mcp).\n\n## Optional security and safety configurations\n\nMCP introduces new security risks and considerations due to the wide variety of\nactions that you can take with MCP tools. To minimize and manage these risks,\nGoogle Cloud offers defaults and customizable policies to control the use of MCP\ntools in your Google Cloud organization or project. For more information about\nMCP security and governance, see\n[AI security and safety](https://docs.cloud.google.com/mcp/ai-security-safety).\n\n## Quotas and limits\n\nThe BigQuery Data Transfer Service MCP server doesn't have its own quotas. There\nis no limit on the number of calls that can be made to the MCP server. You are\nstill subject to the quotas enforced by the APIs called by the MCP server tools.\n\n## Reference and resources\n\n*   Explore the\n    [BigQuery Data Transfer Service remote MCP server reference documentation](https://docs.cloud.google.com/bigquery/docs/reference/datatransfer/mcp),\n    which includes a list of all available tools, and the full input and output\n    schema for each tool.\n*   See the\n    [BigQuery Data Transfer Service overview](https://docs.cloud.google.com/bigquery/docs/dts-introduction).\n*   Learn about\n    [MCP security and governance](https://docs.cloud.google.com/mcp/ai-security-safety).\n",
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