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