How to Use the Bland AI MCP in Vercel AI SDK

Q: How do I connect Bland AI to Vercel AI SDK?

Install @ai-sdk/mcp and create a client pointing to the Vinkius endpoint. Pass the tools from the client directly into your text generation function.

Q: Can Bland AI handle inbound routing in Vercel AI SDK?

Yes. Use listinbound to find active phone numbers configured for your agents. You can display these numbers in your Next.js frontend dynamically.

Q: How does Vercel AI SDK terminate active Bland AI calls?

Your application calls endcall to cut off a phone line immediately. This stops the active connection and saves on telecom minutes.

Q: How is my call recording data secured?

This MCP Server processes raw MP3/WAV links from getrecording through Vinkius's isolated sandbox. Your audio logs and transcripts never touch external persistence layers during the transfer.

Trigger and monitor voice agents live in your Vercel AI SDK app.

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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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Trigger voice agents directly from Vercel AI SDK

The `send_call` tool triggers outbound phone calls directly from your application. You pass the target number along with the custom instructions, and the server dials out immediately. Because Vercel AI SDK supports streaming, you can display the status of the call to your user the millisecond it starts. No more staring at a blank screen while the system dials.

Stream live call analytics to your frontend

The `analyze_call` tool evaluates an active call to check if specific goals were met. Your agent pulls this data while the phone line is still active. Combined with `get_call_details` and `get_recording`, you can display transcripts and audio files directly in your React or Next.js UI. The data streams in real-time, giving users an instant view of the conversation.

Manage bulk phone campaigns via MCP Server

The `send_batch` tool fires off hundreds of simultaneous phone calls through your Vercel AI SDK setup. You do not have to write complex queuing systems to scale your outreach. Monitor progress using `get_batch` to see how many calls succeeded. Your UI can update a progress bar dynamically on the edge as the batch processes.

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.

Connect Bland AI now

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 `@ai-sdk/mcp` and create a client pointing to the Vinkius endpoint. Pass the tools from the client directly into your text generation function.

Yes. Use `list_inbound` to find active phone numbers configured for your agents. You can display these numbers in your Next.js frontend dynamically.

Your application calls `end_call` to cut off a phone line immediately. This stops the active connection and saves on telecom minutes.

Yes, the connection runs over standard HTTP transport. It fits perfectly inside Vercel's Edge runtime without cold-start delays.

This MCP Server processes raw MP3/WAV links from `get_recording` through Vinkius's isolated sandbox. Your audio logs and transcripts never touch external persistence layers during the transfer.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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