SNCF
Use SNCF with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
SNCF$ vercel connect create sncf --name acme-sncfUse 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.
Install the Connect SDK
npm install @vercel/connectCreate the SNCF connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create sncf --name acme-sncfvercel env pullRequest SNCF credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('sncf/acme-sncf');