Browse AI
Use Browse AI 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('browseai/acme-browseai');
Use Browse AI in apps and agents
Extract and monitor website data.
Why use Vercel Connect with Browse AI?
Credentials on demand
Request Browse AI credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Browse AI access behind a reusable connector controlled by your team.
Centralized credential management
Manage Browse AI 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 Browse AI with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Browse AI to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Browse AI connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create browseai --name acme-browseaivercel env pullRequest Browse AI credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('browseai/acme-browseai');
