TODO for AI
Use TODO for 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
TODO for AI$ vercel connect create todo-for-ai --name acme-todo-for-aiUse 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('todo-for-ai/acme-todo-for-ai', {subject: { type: 'user', id: userId },});
Use TODO for AI in apps and agents
Start agent tasks, send follow-ups, and check status and results in a shared workspace.
Read the TODO for AI developer docs(opens in new tab)Why use Vercel Connect with TODO for AI?
Credentials on demand
Request TODO for AI credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized TODO for AI access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage TODO for 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 TODO for AI with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add TODO for AI to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the TODO for AI connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create todo-for-ai --name acme-todo-for-aivercel env pullRequest TODO for AI credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('todo-for-ai/acme-todo-for-ai', {subject: { type: 'user', id: userId },});