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