Google Cloud Data Agent Kit installs statistics

Google Cloud Data Agent Kit Extension

The Google Cloud Data Agent Kit is a unified development interface for data scientists, engineers, and app developers on Google Cloud. It integrates core Google Cloud data services—including BigQuery, Dataflow, Managed Apache Spark, Spanner, AlloyDB, and Cloud SQL—directly into your IDE.

By bringing these services into your development environment, the Data Agent Kit eliminates the need to switch between the Google Cloud console, command-line tools, and your IDE.

Key Features

The Agent Kit streamlines complex data workflows through several key functional areas:

• Data discovery and exploration: Connect to and explore your data on Google Cloud. Query and analyze your data in Python and SQL. Ask questions about your data in natural language. • Data pipeline development: Build, test, and deploy production-ready Apache Spark, BigQuery or Dataflow data engineering pipelines. • AI and machine learning: Explore and clean data and use it to train and deploy ML models. • Agentic skills and tools: Leverage built-in AI skills and tools to automate repetitive tasks and accelerate development.

Supported Services

The Data Agent Kit provides a centralized interface for the following Google Data Cloud services:

Category Supported Services

Analytics and governance BigQuery, Dataflow, Managed Apache Spark, Managed Service for Apache Airflow, Knowledge Catalog

Databases AlloyDB for PostgreSQL, Cloud SQL, Spanner

Storage Cloud Storage

Security Reminder: Agent Environment Hardening

Your agent can execute tools and commands on your behalf. Protect your Google Cloud resources by enforcing The Principle of Least Privilege across all CLIs, MCP servers and other resources available to your agents.

• Service Accounts: Use service accounts instead of end user credentials to access Google Cloud resources. • Limited Permissions: Assign roles with limited permissions to the service account that you're using for authentication. • Principal Access Boundary policies: Prevent unwanted cross-org agent access by using Principal Access Boundary policies to scope your agent to projects you intend it to access. • Include a condition in the policy binding to ensure that the policy only applies to the service accounts that you intend to restrict.

For more information, see Mitigate indirect prompt injection risks from Google Cloud MCP.

Feedback

To report a bug or request a feature, please use this feedback form.

Terms

The Data Agent Kit is subject to the "General Software Terms" of the Google Cloud Service Specific Terms, available at https://cloud.google.com/terms/service-terms.

Description from the VS Code Marketplace listing.