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Connect Google BigQuery to GitHub Copilot CLI

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

Book a demo GitHub Copilot CLI setup guide

Set up

Add Google BigQuery to GitHub Copilot CLI in four steps

Admins approve the server once. Everyone in GitHub Copilot CLI 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 GitHub Copilot CLI to Runlayer

    Users add the Runlayer Plugin to GitHub Copilot CLI by following Runlayer’s setup guide. GitHub Copilot CLI reaches Google BigQuery’s 9 tools through the Runlayer Plugin’s search and execute tools instead of listing each one.

    GitHub Copilot CLI 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 GitHub Copilot CLI

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

Tools

9 Google BigQuery tools in GitHub Copilot CLI

Runlayer policy decides which of these GitHub Copilot CLI 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 GitHub Copilot CLI

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

  • Gateway policy (available)

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

  • Audit trail (available)

    Each call is recorded with the user, GitHub Copilot CLI 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 or permission request before GitHub Copilot CLI runs it.

  • Block output after it runs (available)

    Runlayer can block a tool’s output before GitHub Copilot CLI’s model sees it.

  • Redact output in place (available)

    Runlayer can mask sensitive parts of a successful tool’s output in GitHub Copilot CLI and pass the rest through.

In GitHub Copilot CLI

  • When a tool fails, Runlayer records the error but cannot replace it.

Frequently asked questions

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