BigQuery Data Transfer Service Managed MCP Extension

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The BigQuery Data Transfer Service managed MCP extension allows users to manage BQTS resources such as data sources, transfer configs and transfer runs via natural language commands.

Why use the BigQuery Data Transfer Service managed MCP server?

Google and Google Cloud managed MCP servers can be used in your AI applications with enterprise-ready governance, security, and access control.

Before you begin

1. In the Google Cloud console, on the project selector page, select or create a Google Cloud project. > Note: If you don't plan to keep the resources that you create in this > procedure, create a project instead of selecting an existing project. > After you finish these steps, you can delete the project, removing all > resources associated with the project.
2. Get your administrator to grant you the MCP Tool User role (roles/mcp.toolUser) on the Google Cloud project. If you created a new project, then you already have the required permissions.
3. Ensure your administrator has enabled the BigQuery Data Transfer API on the Google Cloud project.

Configure authentication

This extension uses Google Application Default Credentials (ADC) to perform authentication. To login with ADC, run the following command in your terminal:

gcloud auth application-default login

For additional details, see the ADC documentation.

Available tools

To see a complete list of available tools and their schemas, see the BigQuery Data Transfer Service MCP reference.

Optional security and safety configurations

MCP introduces new security risks and considerations due to the wide variety of actions that you can take with MCP tools. To minimize and manage these risks, Google Cloud offers defaults and customizable policies to control the use of MCP tools in your Google Cloud organization or project. For more information about MCP security and governance, see AI security and safety.

Quotas and limits

The BigQuery Data Transfer Service MCP server doesn't have its own quotas. There is no limit on the number of calls that can be made to the MCP server. You are still subject to the quotas enforced by the APIs called by the MCP server tools.

Reference and resources

• Explore the BigQuery Data Transfer Service remote MCP server reference documentation, which includes a list of all available tools, and the full input and output schema for each tool.
• See the BigQuery Data Transfer Service overview.
• Learn about MCP security and governance.