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Miro

Use Miro 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 Miro

    $ vercel connect create miro --name acme-miro
  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('miro/acme-miro', {
    subject: { type: 'user', id: userId },
    });

Use Miro in apps and agents

Access and create content on Miro boards.

Why use Vercel Connect with Miro?

  • Credentials on demand

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

  • Access for the right subject

    Request user-authorized Miro access so actions follow the identity and permissions of the person using your application.

  • Centralized credential management

    Manage Miro 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 Miro with your stack

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

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

  1. Install the Connect SDK

    npm install @vercel/connect
  2. Create the Miro connector

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

    vercel link
    vercel connect create miro --name acme-miro
    vercel env pull
  3. Request Miro credentials

    app/api/route.ts
    import { getToken } from '@vercel/connect';
    const userId = 'user_123';
    const token = await getToken('miro/acme-miro', {
    subject: { type: 'user', id: userId },
    });
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