Searcherries
Use Searcherries 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
Searcherries$ vercel connect create searcherries --name acme-searcherriesUse 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('searcherries/acme-searcherries', {subject: { type: 'user', id: userId },});
Use Searcherries in apps and agents
Track how AI assistants answer and cite a brand, plus Search Console and GA4 data.
Read the Searcherries developer docs(opens in new tab)Why use Vercel Connect with Searcherries?
Credentials on demand
Request Searcherries credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized Searcherries access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage Searcherries 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 Searcherries with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Searcherries to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Searcherries connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create searcherries --name acme-searcherriesvercel env pullRequest Searcherries credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('searcherries/acme-searcherries', {subject: { type: 'user', id: userId },});