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