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