AgentQL
Use AgentQL 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
AgentQL$ vercel connect create agentql --name acme-agentqlUse its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('agentql/acme-agentql');
Use AgentQL in apps and agents
Extract structured web data and automate browser interactions.
Why use Vercel Connect with AgentQL?
Credentials on demand
Request AgentQL credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped AgentQL access behind a reusable connector controlled by your team.
Centralized credential management
Manage AgentQL 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 AgentQL with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add AgentQL to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the AgentQL connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create agentql --name acme-agentqlvercel env pullRequest AgentQL credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('agentql/acme-agentql');