Windsor.ai
Use Windsor.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('windsor-ai/acme-windsor-ai');
Use Windsor.ai in apps and agents
Connect marketing and business data for analytics and reporting.
Read the Windsor.ai developer docs(opens in new tab)Why use Vercel Connect with Windsor.ai?
Credentials on demand
Request Windsor.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 Windsor.ai access behind a reusable connector controlled by your team.
Centralized credential management
Manage Windsor.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 Windsor.ai with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Windsor.ai to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Windsor.ai connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create windsor-ai --name acme-windsor-aivercel env pullRequest Windsor.ai credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('windsor-ai/acme-windsor-ai');
