Video Context API
Use Video Context API 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 token = await getToken('video-context-api/acme-video-context-api');
Use Video Context API in apps and agents
Analyze video, find key moments, and extract structured data.
Read the Video Context API developer docs(opens in new tab)Why use Vercel Connect with Video Context API?
Credentials on demand
Request Video Context API credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Video Context API access behind a reusable connector controlled by your team.
Centralized credential management
Manage Video Context API 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 Video Context API with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Video Context API to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Video Context API connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create video-context-api --name acme-video-context-apivercel env pullRequest Video Context API credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('video-context-api/acme-video-context-api');
