How to Use the Bland AI MCP in Vercel AI SDK

Q: How do I filter tools for Bland AI in Vercel AI SDK?

You can select specific functions like listvoices or listpathways when you initialize the client. This keeps your agent focused on the phone tasks you define.

Stream live phone call transcripts and agent data directly into your Vercel AI SDK frontends.

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…and any MCP-compatible client

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Connect Bland AI MCP to Vercel AI SDK

Create your Vinkius account to connect Bland AI to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bland AI with Vercel AI SDK

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Live call monitoring in Vercel AI SDK

Feed your UI real-time data from `get_call` or `get_transcript` without waiting for backend bottlenecks. Your React or Next.js components update as the MCP Server pushes data to your stream. This keeps your users watching the call status instead of a loading spinner. It makes your dashboard feel instant.

Trigger phone calls from your Vercel AI SDK app

Send outbound calls by invoking `send_call` directly from your edge functions. Your app handles the logic while the server manages the connection. You can also use `stop_call` if your interface needs an emergency kill switch. It puts the phone system right inside your app code.

Manage agents via Vercel AI SDK

Query your entire agent library using `list_agents` and `get_agent` to populate dropdowns or configuration menus. It gives you full control over your setup without leaving your IDE. Everything stays in sync with your production environment. You see exactly what you configured in the dashboard.

Setup guide

Set up Bland AI MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Bland AI tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Bland AI transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bland AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bland AI MCP in Vercel AI SDK

Install the MCP package and point your client to our hosted URL. Use the generated tools inside your streamText calls to start interacting with your phone data.

Yes, you can pull the transcript data as it streams. It updates your UI components immediately so your users see the conversation as it happens.

It works perfectly on the edge. You just need to initialize the client and call your tools within your route handlers.

You can select specific functions like `list_voices` or `list_pathways` when you initialize the client. This keeps your agent focused on the phone tasks you define.

We keep your call transcripts locked behind your unique endpoint token. Only your authenticated Vercel AI SDK instance can access sensitive recording data.

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