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Connect Kubernetes to GitHub Copilot CLI

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

Set up

Add Kubernetes 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 Kubernetes in Runlayer

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

  2. 2

    Connect GitHub Copilot CLI to Runlayer

    Install the Runlayer CLI so GitHub Copilot CLI can reach Kubernetes, which runs on the user’s machine.

    GitHub Copilot CLI setup guide
  3. 3

    Sign in to Kubernetes

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

  4. 4

    Use Kubernetes from GitHub Copilot CLI

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

Tools

Kubernetes tools in GitHub Copilot CLI

Kubernetes 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 Kubernetes 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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