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Botdog

Use Botdog 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 Botdog

    $ vercel connect create botdog --name acme-botdog
  3. Use its data in agents(opens in new tab) and apps(opens in new tab)

    import { getToken } from '@vercel/connect';
    const token = await getToken('botdog/acme-botdog');

Use Botdog in apps and agents

Manage LinkedIn outreach campaigns, leads, and messages.

Read the Botdog developer docs(opens in new tab)

Why use Vercel Connect with Botdog?

  • Credentials on demand

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

  • Access for the right subject

    Keep app-scoped Botdog access behind a reusable connector controlled by your team.

  • Centralized credential management

    Manage Botdog 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 Botdog with your stack

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

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

  1. Install the Connect SDK

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

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

    vercel link
    vercel connect create botdog --name acme-botdog
    vercel env pull
  3. Request Botdog credentials

    app/api/route.ts
    import { getToken } from '@vercel/connect';
    const token = await getToken('botdog/acme-botdog');
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