Claid.ai
Use Claid.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('claid-ai/acme-claid-ai');
Use Claid.ai in apps and agents
Edit images, remove backgrounds, and upscale photos with AI.
Why use Vercel Connect with Claid.ai?
Credentials on demand
Request Claid.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 Claid.ai access behind a reusable connector controlled by your team.
Centralized credential management
Manage Claid.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 Claid.ai with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Claid.ai to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Claid.ai connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create claid-ai --name acme-claid-aivercel env pullRequest Claid.ai credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('claid-ai/acme-claid-ai');
