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Connect Tableau Next to GitHub Copilot CLI

Give GitHub Copilot CLI governed access to Tableau Next through Runlayer, with identity, policy, scanning, and audit on every call.

Book a demo GitHub Copilot CLI setup guide

Set up

Add Tableau Next 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 Tableau Next in Runlayer

    Add Tableau Next 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 Tableau Next’s 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 Tableau Next

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

  4. 4

    Use Tableau Next from GitHub Copilot CLI

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

Tools

Tableau Next tools in GitHub Copilot CLI

Tableau Next reports its tools when your organization connects it, so the list depends on your deployment.

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 Tableau Next 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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