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Skyfire

Use Skyfire with AI apps and agents through Vercel 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 Skyfire

    Via CLIVercel Dashboard(opens in new tab)
    $ vercel connect create skyfire --name acme-skyfire

  3. Use its data in agents(opens in new tab) and apps(opens in new tab)

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

    const userId = 'user_123';
    

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

Use Skyfire in apps and agents

Manage payments and service transactions for AI agents.

Why use Vercel Connect with Skyfire?

  • Credentials on demand

    Request Skyfire 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 Skyfire access from the same connection layer.

  • Centralized credential management

    Manage Skyfire credentials in one place and retrieve them through a consistent runtime API.

  • Vercel-native controls

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

Use Skyfire with your stack

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

Add Skyfire to an existing Vercel application with the Connect SDK.

  1. Install the Connect SDK

    npm install @vercel/connect

  2. Create the Skyfire connector

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

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

  3. Request Skyfire credentials

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

    const userId = 'user_123';
    

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

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