Use LinkedIn 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
$ vercel connect create linkedin --name acme-linkedinUse 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('linkedin/acme-linkedin', {subject: { type: 'user', id: userId },});
Use LinkedIn in apps and agents
LinkedIn profile data and content posting
Why use Vercel Connect with LinkedIn?
Credentials on demand
Request LinkedIn credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized LinkedIn access so actions follow the identity and permissions of the person using your application.
Managed authorization lifecycle
Centralize LinkedIn authorization and token exchange rather than rebuilding the provider flow in every application.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use LinkedIn with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add LinkedIn to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the LinkedIn connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create linkedin --name acme-linkedinvercel env pullRequest LinkedIn credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('linkedin/acme-linkedin', {subject: { type: 'user', id: userId },});