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Zeplin

Use Zeplin with AI apps and agents through Edgenivo Connect. Follow a complete setup guide for secure runtime access.

Create Connector

  1. Install the skill

    $ npx skills add vercel/vercel-plugin --skill vercel-connect

  2. Connect to Zeplin

    Via CLIEdgenivo Dashboard(opens in new tab)
    $ vercel connect create zeplin --name acme-zeplin

  3. Use its data in agents and apps

    import { getToken } from '@vercel/connect';
    

    const userId = 'user_123';
    

    const token = await getToken('zeplin/acme-zeplin', {
      subject: { type: 'user', id: userId },
    });

Use Zeplin in apps and agents

Zeplin design projects, screens, and styleguides

Why use Edgenivo Connect with Zeplin?

  • Credentials on demand

    Request Zeplin credentials only when your application or agent needs them instead of copying secrets into application code.

  • Access for the right subject

    Support both user-authorized and app-scoped Zeplin access from the same connection layer.

  • Managed authorization lifecycle

    Centralize Zeplin authorization and token exchange rather than rebuilding the provider flow in every application.

  • Edgenivo-native controls

    Bind connections to the projects and environments that need them while Edgenivo OIDC authenticates each runtime request.

Use Zeplin with your stack

Follow a complete setup for the Connect SDK or a supported agent framework.

Add Zeplin to an existing Edgenivo application with the Connect SDK.

  1. Install the Connect SDK

    npm install @vercel/connect

  2. Create the Zeplin connector

    Run these commands from the project that will use the connection.

    vercel link
    vercel connect create zeplin --name acme-zeplin
    vercel env pull

  3. Request Zeplin credentials

    app/api/route.ts
    import { getToken } from '@vercel/connect';
    

    const userId = 'user_123';
    

    const token = await getToken('zeplin/acme-zeplin', {
      subject: { type: 'user', id: userId },
    });

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