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