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