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Connect Metabase to GitHub Copilot CLI

Give GitHub Copilot CLI governed access to Metabase’s 45 tools through Runlayer, with identity, policy, scanning, and audit on every call.

Set up

Add Metabase 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 Metabase in Runlayer

    Add Metabase 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 Metabase’s 45 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 Metabase

    Sign in the way Metabase requires. Runlayer holds the credentials so they stay out of the client’s configuration.

  4. 4

    Use Metabase from GitHub Copilot CLI

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

Tools

45 Metabase tools in GitHub Copilot CLI

Runlayer policy decides which of these GitHub Copilot CLI users can call. 25 read data only and 6 can change or delete data.

  • Construct query

    Construct a Metabase query from a structured program with source and operations.

  • Create dashboard

    Create a dashboard in Metabase.

  • Create question

    Save a query as a named question in Metabase.

  • Execute query

    Execute a previously constructed query and return the results with column metadata, row count, and execution time.

  • Get metric

    Get details about a metric including its queryable dimensions.

  • Get metric field values

    Get sample values and statistics for a field in a metric.

  • Get table

    Get details about a table including its fields, related tables, and metrics.

  • Get table field values

    Get sample values and statistics for a field in a table.

See all 45 Metabase 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 Metabase 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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