Use Google 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 google --name acme-googleUse 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('google/acme-google', {subject: { type: 'user', id: userId },});
Use Google in apps and agents
Google APIs — Gmail, Drive, Calendar, Sheets, YouTube, and more
Why use Vercel Connect with Google?
Credentials on demand
Request Google credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized Google access so actions follow the identity and permissions of the person using your application.
Managed authorization lifecycle
Centralize Google 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 Google with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Google to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Google connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create google --name acme-googlevercel env pullRequest Google credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('google/acme-google', {subject: { type: 'user', id: userId },});