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SNCF

Use SNCF 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 SNCF

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

Use SNCF in apps and agents

Access SNCF passenger-information data for train journeys, stations, schedules, service status, and transport-network discovery.

Read the SNCF developer docs(opens in new tab)

Why use Vercel Connect with SNCF?

  • Credentials on demand

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

  • Access for the right subject

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

  • Centralized credential management

    Manage SNCF 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 SNCF with your stack

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

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

  1. Install the Connect SDK

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

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

    vercel link
    vercel connect create sncf --name acme-sncf
    vercel env pull
  3. Request SNCF credentials

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