Google Cloud Vision
Use Google Cloud Vision 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
Use its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('google-cloud-vision/acme-google-cloud-vision');
Use Google Cloud Vision in apps and agents
Analyze images, detect objects and landmarks, and extract text.
Why use Vercel Connect with Google Cloud Vision?
Credentials on demand
Request Google Cloud Vision credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Google Cloud Vision access behind a reusable connector controlled by your team.
Centralized credential management
Manage Google Cloud Vision 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 Google Cloud Vision with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Google Cloud Vision to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Google Cloud Vision connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create google-cloud-vision --name acme-google-cloud-visionvercel env pullRequest Google Cloud Vision credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('google-cloud-vision/acme-google-cloud-vision');
