Use Google BigQuery from Claude Code
Bring Google BigQuery context into engineering work while Type keeps app access attached to the teammate and workspace.
One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Google BigQuery never means pasting credentials into a prompt.
Bring Google BigQuery context into engineering work while Type keeps app access attached to the teammate and workspace.
Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.
Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.
Connect Google BigQuery so agents can inspect warehouse schemas and run bounded, read-only SQL queries from Type.
Connect Google BigQuery once, then decide which teammates can use it for threads, automations, skills, and coding work.
List accessible BigQuery projects, datasets, and tables before writing a query.
Read field names, types, nested fields, table type, location, and row-count metadata.
Execute read-only SELECT queries with row caps, dry-run validation, and maximum bytes billed enforcement.
Connect Google BigQuery so agents can inspect warehouse schemas and run bounded, read-only SQL queries from Type.
Yes. Type lets an AI teammate use connected Google BigQuery actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.
Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Google BigQuery catalog entry includes public integration details and example capabilities where available.
Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.
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