clawlink-hq Google BigQuery
Use Google BigQuery from your AI agent through ClawLink — browser login, no API key to paste, no config to edit. Connect Google BigQuery once and the agent can read and act on it. Works in any agent that can run shell commands (Claude Code, Cursor, Codex, Cline, and more).
Setup
Run these once — the agent can run them for you:
npx @useclawlink/cli login # opens browser → approve (mints + stores a key)
npx @useclawlink/cli connect google-bigquery # opens browser → authorize Google BigQuery
No API key to create or paste — login stores the credential at ~/.clawlink/credentials.json.
Using Google BigQuery
npx @useclawlink/cli actions google-bigquery "<what you want to do>" # find an action
npx @useclawlink/cli describe google-bigquery <action-id> # see its inputs (before writes)
npx @useclawlink/cli run google-bigquery <action-id> --input '<json>' # execute
Reads first; confirm with the user before any write.
Available actions
| Action | Description |
|---|---|
googlebigquery_cancel_job |
Tool to cancel a running BigQuery job. This call returns immediately, and you need to poll for the job status to see if the cancel completed successfully. Note that cancelled jobs may still incur costs. |
googlebigquery_create_capacity_commitment |
Tool to create a new capacity commitment resource in BigQuery Reservation. Use when you need to purchase compute capacity (slots) with a committed period of usage for BigQuery jobs. Supports various commitment plans (FLEX, MONTHLY, ANNUAL, THREE_YEAR) and editions (STANDARD, ENTERPRISE, ENTERPRISE_PLUS). |
googlebigquery_create_connection |
Tool to create a new BigQuery connection to external data sources using the BigQuery Connection API. Use when setting up connections to AWS, Azure, Cloud Spanner, Cloud SQL, Salesforce DataCloud, or Apache Spark. |
googlebigquery_create_data_exchange |
Tool to create a new Analytics Hub data exchange for sharing BigQuery datasets. Use when you need to set up a container for data sharing with descriptive information and listings. |
googlebigquery_create_dataexchanges_listings |
Tool to create a new listing in a BigQuery Analytics Hub data exchange. Use when you need to share a BigQuery dataset with specific subscribers or make it available for discovery. The dataset must exist and be in the same region as the data exchange. |
googlebigquery_create_dataset |
Tool to create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API. Use when the workflow needs to set up a staging/warehouse dataset and correctness of region is critical to avoid downstream job location mismatches. Surfaces 409 Already Exists errors cleanly without retrying. |
googlebigquery_create_listing |
Tool to create a new listing in a data exchange using Analytics Hub API. Use when publishing a BigQuery dataset to make it available for subscription by other users or organizations. |
googlebigquery_create_locations_datapolicies |
Tool to create a new data policy under a project with specified location using the v2beta1 BigQuery Data Policy API. Use when you need to set up data masking rules or column-level security for sensitive data. The v2beta1 endpoint uses a nested request structure. |
googlebigquery_create_query_template |
Tool to create a new query template in a BigQuery Analytics Hub Data Clean Room (DCR) data exchange. Use when you need to define predefined and approved queries for data clean room use cases. Query templates must be created in DCR data exchanges only. |
googlebigquery_create_reservation |
Tool to create a new BigQuery reservation resource to guarantee compute capacity (slots) for query and pipeline jobs. Use when you need to reserve dedicated compute resources for predictable performance and cost management. Reservations can be configured with autoscaling, concurrency limits, and edition-based features. |
googlebigquery_create_reservation_assignment |
Tool to create a BigQuery reservation assignment that allows a project, folder, or organization to submit jobs using slots from a specified reservation. Use when setting up resource allocation for BigQuery workloads. Note: A resource can only have one assignment per (job_type, location) combination. |
googlebigquery_create_routine |
Tool to create a new user-defined routine (function or procedure) in a BigQuery dataset. Use when you need to define SQL, JavaScript, Python, Java, or Scala functions/procedures for reusable logic, data transformations, or custom masking. Supports scalar functions, table-valued functions, procedures, and aggregate functions with comprehensive type definitions. |
Notes
- No API key for Google BigQuery itself — ClawLink holds the OAuth token; the agent only holds your ClawLink credential.
- Not connected yet, or access expired? Re-run
npx @useclawlink/cli connect google-bigquery. - The action list above is a snapshot;
npx @useclawlink/cli actions google-bigqueryis always current.
Resources
- ClawLink: https://claw-link.dev
- Docs: https://docs.claw-link.dev
- CLI: https://www.npmjs.com/package/@useclawlink/cli
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