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Data Agent Kit connects coding agents to Google Cloud data workflows

cloud.google.com by Jeff Nelson 6 min read Editor score 7/10

The kit combines MCP tools for data services with Markdown skills that guide agents, and supports workflows from querying databases to deploying Airflow pipelines in an IDE. It shows a concrete pattern for giving coding agents access to data operations.

What
Data Agent Kit connects coding agents to Google Cloud data workflows through MCP tools and an IDE extension.
How
An agent can load JSON logs from Google Cloud Storage into BigQuery, then create dbt models to clean, deduplicate and enrich records.
Why it matters
Engineers can use the kit to build data workflows—from ingestion and validation to model training and scheduled pipelines—inside their IDE.
JSON logs loads records source tables builds model Google CloudStorage PySpark notebook BigQuery dbt project enriched_transa…
The workflow loads transaction logs into BigQuery, then uses dbt to build enriched data. Sketched from the article's own text.

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