Kernel
Use Kernel 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
Kernel$ vercel connect create kernel --name acme-kernelUse 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('kernel/acme-kernel', {subject: { type: 'user', id: userId },});
Use Kernel in apps and agents
Run cloud browsers for AI agents.
Why use Vercel Connect with Kernel?
Credentials on demand
Request Kernel credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Support both user-authorized and app-scoped Kernel access from the same connection layer.
Centralized credential management
Manage Kernel 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 Kernel with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Kernel to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Kernel connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create kernel --name acme-kernelvercel env pullRequest Kernel credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('kernel/acme-kernel', {subject: { type: 'user', id: userId },});