Semantic Scholar
Use Semantic Scholar 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('semanticscholar/acme-semanticscholar');
Use Semantic Scholar in apps and agents
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature.
Why use Vercel Connect with Semantic Scholar?
Credentials on demand
Request Semantic Scholar credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Semantic Scholar access behind a reusable connector controlled by your team.
Centralized credential management
Manage Semantic Scholar 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 Semantic Scholar with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Semantic Scholar to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Semantic Scholar connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create semanticscholar --name acme-semanticscholarvercel env pullRequest Semantic Scholar credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('semanticscholar/acme-semanticscholar');
