Skip to main content
Book a demo

Connect Google BigQuery to Cursor

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

Book a demo Cursor setup guide

Set up

Add Google BigQuery to Cursor in four steps

Admins approve the server once. Everyone in Cursor 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 Cursor to Runlayer

    Runlayer’s CLI installs the Runlayer Plugin natively in Cursor, and admins can roll it out org-wide with Auto Sync plus a Cursor team rule. With direct tool listing turned on for your deployment, Google BigQuery’s 9 tools show up in Cursor’s own tool list.

    Cursor 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 Cursor

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

Tools

9 Google BigQuery tools in Cursor

Runlayer policy decides which of these Cursor 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 Cursor

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

  • Gateway policy (available)

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

  • Audit trail (available)

    Each call is recorded with the user, Cursor 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 Cursor runs it, including calls to MCP servers.

  • Block output after it runs (available)

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

  • Redact output in place (not available)

    Cursor cannot take masked output, so Runlayer can block a tool’s output but not mask it. The gateway still applies policy to the call.

In Cursor

  • Runlayer cannot tell Agents Window sessions apart from regular IDE sessions.
  • The Cursor CLI sends fewer session events than the IDE, but Runlayer’s allow and deny decisions still apply.

Frequently asked questions

Connect more

Find another combination