MuleSoft
Use MuleSoft 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('mulesoft/acme-mulesoft', {subject: { type: 'user', id: userId },});
Use MuleSoft in apps and agents
Salesforce's MuleSoft Anypoint Platform for building, managing, and governing APIs and integrations.
Read the MuleSoft developer docs(opens in new tab)Why use Vercel Connect with MuleSoft?
Credentials on demand
Request MuleSoft credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized MuleSoft access so actions follow the identity and permissions of the person using your application.
Managed authorization lifecycle
Centralize MuleSoft authorization and token exchange rather than rebuilding the provider flow in every application.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use MuleSoft with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add MuleSoft to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the MuleSoft connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create mulesoft --name acme-mulesoftvercel env pullRequest MuleSoft credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('mulesoft/acme-mulesoft', {subject: { type: 'user', id: userId },});
