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Connect Google BigQuery to Goose

Give Goose governed access to Google BigQuery’s 9 tools through Runlayer, with identity, policy, scanning, and audit on every call.

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Set up

Add Google BigQuery to Goose in four steps

Admins approve the server once. Everyone in Goose then gets it through the same governed connection.

  1. 1

    Approve Google BigQuery in Runlayer

    Add Google BigQuery from the catalog and choose who can use it and which of its tools are allowed.

  2. 2

    Connect Goose to Runlayer

    Users add the Runlayer Plugin as a Goose extension; Goose has no native plugin install. Goose reaches Google BigQuery’s 9 tools through the Runlayer Plugin’s search and execute tools instead of listing each one.

    Goose setup guide
  3. 3

    Sign in to Google BigQuery

    Each user signs in to Google BigQuery with OAuth. Runlayer keeps the tokens out of the client’s configuration.

  4. 4

    Use Google BigQuery from Goose

    Google BigQuery’s approved tools appear in Goose. Every call is checked against policy and recorded.

Tools

9 Google BigQuery tools in Goose

Runlayer policy decides which of these Goose users can call.

  • Cancel job

    Cancel a running BigQuery job.

  • Execute SQL

    Run a SQL query in the project and return the result.

  • Execute SQL readonly

    Run a read-only SQL query in the project and return the result.

  • Get dataset info

    Get metadata information about a BigQuery dataset or BigLake namespace.

  • Get job

    Get information and status about a BigQuery job.

  • Get query results

    Get the results of a BigQuery SQL query job.

  • Get table info

    Get metadata information about a BigQuery table or BigLake table.

  • List dataset IDS

    List BigQuery dataset IDs and BigLake namespaces in a Google Cloud project.

See all 9 Google BigQuery tools

Control

What Runlayer can see and stop in Goose

Some controls apply to every client at the gateway. Others depend on what Goose exposes to Runlayer.

  • Gateway policy (available)

    Every Google BigQuery call from Goose passes through Runlayer, where your policies can allow, alert, mask, or block it.

  • Audit trail (available)

    Each call is recorded with the user, Goose as the client, the tool, and the policy and scanner decisions.

  • Client hooks (available)

    Capture supported prompts, reasoning, local and MCP tool calls, responses, and scanner decisions in real time.

  • Stop a call before it runs (available)

    Runlayer can deny a tool call before Goose runs it.

  • Block output after it runs (available)

    Runlayer can block a tool’s output before Goose’s model sees it.

  • Redact output in place (not available)

    Goose cannot apply masking, so Runlayer blocks output it would otherwise mask. The gateway still applies policy to the call.

Frequently asked questions

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