WaniKani
Use WaniKani with AI apps and agents through Edgenivo 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 and apps
import { getToken } from '@vercel/connect';const token = await getToken('wanikani/acme-wanikani');
Use WaniKani in apps and agents
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Read the WaniKani developer docs(opens in new tab)Why use Edgenivo Connect with WaniKani?
Credentials on demand
Request WaniKani credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped WaniKani access behind a reusable connector controlled by your team.
Centralized credential management
Manage WaniKani credentials in one place and retrieve them through a consistent runtime API.
Edgenivo-native controls
Bind connections to the projects and environments that need them while Edgenivo OIDC authenticates each runtime request.
Use WaniKani with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add WaniKani to an existing Edgenivo application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the WaniKani connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create wanikani --name acme-wanikanivercel env pullRequest WaniKani credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('wanikani/acme-wanikani');
