TimelinesAI
Use TimelinesAI 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 userId = 'user_123';const token = await getToken('timelinesai/acme-timelinesai', {subject: { type: 'user', id: userId },});
Use TimelinesAI in apps and agents
Manage WhatsApp conversations and synchronize them with CRM tools.
Why use Vercel Connect with TimelinesAI?
Credentials on demand
Request TimelinesAI credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Support both user-authorized and app-scoped TimelinesAI access from the same connection layer.
Centralized credential management
Manage TimelinesAI 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 TimelinesAI with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add TimelinesAI to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the TimelinesAI connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create timelinesai --name acme-timelinesaivercel env pullRequest TimelinesAI credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('timelinesai/acme-timelinesai', {subject: { type: 'user', id: userId },});
