Read AI
Use Read 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
Read AI$ vercel connect create read-ai --name acme-read-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('read-ai/acme-read-ai', {subject: { type: 'user', id: userId },});
Use Read AI in apps and agents
Search meeting summaries, transcripts, and action items.
Read the Read AI developer docs(opens in new tab)Why use Vercel Connect with Read AI?
Credentials on demand
Request Read 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 Read AI access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage Read 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 Read AI with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Read AI to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Read AI connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create read-ai --name acme-read-aivercel env pullRequest Read AI credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('read-ai/acme-read-ai', {subject: { type: 'user', id: userId },});