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Semrush

Use Semrush 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 Semrush

    $ vercel connect create semrush --name acme-semrush
  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('semrush/acme-semrush');

Use Semrush in apps and agents

Semrush is a popular SEO tool suite that specializes in keyword research, competitor analysis, and Google Ad campaign optimization.

Why use Vercel Connect with Semrush?

  • Credentials on demand

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

  • Access for the right subject

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

  • Centralized credential management

    Manage Semrush 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 Semrush with your stack

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

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

  1. Install the Connect SDK

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

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

    vercel link
    vercel connect create semrush --name acme-semrush
    vercel env pull
  3. Request Semrush credentials

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