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Connect Clarity AI SFDR to GitHub Copilot CLI

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

Book a demo GitHub Copilot CLI setup guide

Set up

Add Clarity AI SFDR 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 Clarity AI SFDR in Runlayer

    Add Clarity AI SFDR 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 Clarity AI SFDR’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 Clarity AI SFDR

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

  4. 4

    Use Clarity AI SFDR from GitHub Copilot CLI

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

Tools

Clarity AI SFDR tools in GitHub Copilot CLI

Clarity AI SFDR 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 Clarity AI SFDR 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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