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