Cloudinary
Use Cloudinary 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
Cloudinary$ vercel connect create cloudinary --name acme-cloudinaryUse 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('cloudinary/acme-cloudinary', {subject: { type: 'user', id: userId },});
Use Cloudinary in apps and agents
Manage, transform, and deliver images and videos.
Why use Vercel Connect with Cloudinary?
Credentials on demand
Request Cloudinary credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized Cloudinary access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage Cloudinary 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 Cloudinary with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Cloudinary to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Cloudinary connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create cloudinary --name acme-cloudinaryvercel env pullRequest Cloudinary credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('cloudinary/acme-cloudinary', {subject: { type: 'user', id: userId },});