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Connect Gainsight (Staircase AI) to VS Code

Give VS Code governed access to Gainsight (Staircase AI) through Runlayer, with identity, policy, scanning, and audit on every call.

Set up

Add Gainsight (Staircase AI) to VS Code in four steps

Admins approve the server once. Everyone in VS Code then gets it through the same governed connection.

  1. 1

    Approve Gainsight (Staircase AI) in Runlayer

    Add Gainsight (Staircase AI) from the catalog and choose who can use it and which of its tools are allowed.

  2. 2

    Connect VS Code to Runlayer

    Runlayer’s CLI installs the Runlayer Plugin natively in VS Code; users can also add it over MCP. With direct tool listing turned on for your deployment, Gainsight (Staircase AI)’s tools show up in VS Code’s own tool list (VS Code 1.103 or newer).

    VS Code setup guide
  3. 3

    Sign in to Gainsight (Staircase AI)

    Sign in the way Gainsight (Staircase AI) requires. Runlayer holds the credentials so they stay out of the client’s configuration.

  4. 4

    Use Gainsight (Staircase AI) from VS Code

    Gainsight (Staircase AI)’s approved tools appear in VS Code. Every call is checked against policy and recorded.

Tools

Gainsight (Staircase AI) tools in VS Code

Gainsight (Staircase AI) reports its tools when your organization connects it, so the list depends on your deployment.

Control

What Runlayer can see and stop in VS Code

Some controls apply to every client at the gateway. Others depend on what VS Code exposes to Runlayer.

  • Gateway policy (available)

    Every Gainsight (Staircase AI) call from VS Code passes through Runlayer, where your policies can allow, alert, mask, or block it.

  • Audit trail (available)

    Each call is recorded with the user, VS Code 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 before VS Code runs it.

  • Block output after it runs (available)

    Runlayer can block a tool’s output before VS Code’s model sees it.

  • Redact output in place (available)

    Runlayer can mask sensitive parts of a tool’s output in VS Code and pass the rest through.

Frequently asked questions

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