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