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