Roboflow
Use Roboflow 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
Roboflow$ vercel connect create roboflow --name acme-roboflowUse 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('roboflow/acme-roboflow', {subject: { type: 'user', id: userId },});
Use Roboflow in apps and agents
Build, train, and deploy computer vision models.
Why use Vercel Connect with Roboflow?
Credentials on demand
Request Roboflow 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 Roboflow access from the same connection layer.
Centralized credential management
Manage Roboflow 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 Roboflow with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Roboflow to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Roboflow connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create roboflow --name acme-roboflowvercel env pullRequest Roboflow credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('roboflow/acme-roboflow', {subject: { type: 'user', id: userId },});