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How to Use the Vibrato MCP in Vercel AI SDK

Show Users Live AI Calls: Real-time Phone Action with Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Vibrato MCP to Vercel AI SDK

Create your Vinkius account to connect Vibrato 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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Start a New AI Call

Use `create_call` to initiate an automated phone conversation. You just pass the prompt, the recipient's number, and the locale in the JSON body. This streams directly into your UI, letting the user see the call start working live instead of waiting for a spinner.

Check Call Status or List Calls

The `get_call_status` tool lets you check exactly where any given call stands. You can also run `list_calls` to pull up records of all past and present AI conversations. This makes building user-facing apps simple; your agent knows the status immediately, which is crucial for edge function compatibility.

Manage Calling Templates

Before you call anyone, you need to know what's available. Run `list_templates` to see all pre-built calling scripts. You can then use `create_call_from_template` if a script matches the job. It’s straightforward: list them out, pick one, and start the action in your Vercel AI SDK product.

Setup guide

Set up Vibrato 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Vibrato transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vibrato. 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.

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 Vibrato MCP in Vercel AI SDK

You integrate it by calling `mcpClient.tools()` and passing those tools to your text generation function. This allows the user's request in the frontend to trigger the phone action.
Yep, you can use `list_calls` directly via your agent. This retrieves a full history of AI conversations that have taken place through the MCP Server.
Just use `create_call_from_template`. You don't have to write out every detail; you just point the agent toward an existing, pre-approved calling script.
Absolutely. The `get_call_status` tool lets your client check the real-time progress of any active phone conversation, keeping your user experience smooth.
The server manages metadata about the calls, specifically including the caller's unique identifier and the general status (e.g., pending, connected). This is all exposed through `list_calls`.

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