PandaDoc
Use PandaDoc 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
PandaDoc$ vercel connect create pandadoc --name acme-pandadocUse 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('pandadoc/acme-pandadoc', {subject: { type: 'user', id: userId },});
Use PandaDoc in apps and agents
Create, send, sign, and track business documents.
Why use Vercel Connect with PandaDoc?
Credentials on demand
Request PandaDoc 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 PandaDoc access from the same connection layer.
Centralized credential management
Manage PandaDoc 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 PandaDoc with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add PandaDoc to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the PandaDoc connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create pandadoc --name acme-pandadocvercel env pullRequest PandaDoc credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('pandadoc/acme-pandadoc', {subject: { type: 'user', id: userId },});