How to Use the Telebroad MCP in Vercel AI SDK

Q: How do I show live call status using Telebroad and ai-sdk?

You use listactivecalls within the SDK's streaming methods. This streams the current state of all calls, updating your UI in milliseconds without requiring a manual refresh.

Q: What is the best way to manage SMS messages with Telebroad and ai-sdk?

You stream conversations using listsmsconversations. This lets you build a chat interface that feels native. You'll also use getsmsmessages to fetch specific message bodies for display.

Q: Does ai-sdk handle call history logging with Telebroad?

Yes. Your client calls the listcallhistory tool, and the results stream back immediately. This means you can build a live log view that updates as data becomes available.

Q: Can ai-sdk use Telebroad to manage internal contact routing?

You can certainly do that. By calling listphonedestinations, your app pulls the live directory list into the UI, allowing users to select extensions without hitting a dead end.

Stream Telebroad's live telephony data into your UI using the ai-sdk for real-time user feedback.

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…and any MCP-compatible client

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Connect Telebroad MCP to Vercel AI SDK

Create your Vinkius account to connect Telebroad to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Telebroad with Vercel AI SDK

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Real-Time Call Status Checks

You build a dashboard that updates instantly. When an action occurs, you call `list_active_calls` and the result streams directly to your React component. You don't wait for a loading spinner; the data appears live. This real-time capability is key for user experience. If you need to know if a call was successfully initiated or if it dropped, monitoring this list gives immediate feedback.

Streaming Messaging and Fax Actions

The SDK lets your UI react immediately when messages are sent or retrieved. For texts, calling `send_sms` allows the user to see the message appear in real-time on their screen. Similarly, if you use `send_fax`, the confirmation streams back instantly. Retrieving history is just as smooth. You can stream the results of listing conversations via `list_sms_conversations`, making your app feel snappier.

Immediate Profile and Directory Lookups

The client side gets immediate data when needed. If a user clicks on a contact, you call `get_profile` and the details populate without delay. This is much better than batch loading. For routing, streaming results from `list_phone_destinations` populates your internal directory widget as soon as it's available. It keeps your front end highly responsive.

Setup guide

Set up Telebroad 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 Telebroad 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 Telebroad transactions",
});

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

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

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Common questions about Telebroad MCP in Vercel AI SDK

You use `list_active_calls` within the SDK's streaming methods. This streams the current state of all calls, updating your UI in milliseconds without requiring a manual refresh.

You stream conversations using `list_sms_conversations`. This lets you build a chat interface that feels native. You'll also use `get_sms_messages` to fetch specific message bodies for display.

Yes. Your client calls the `list_call_history` tool, and the results stream back immediately. This means you can build a live log view that updates as data becomes available.

The server handles communication metadata: call logs and SMS conversation records. When displaying this data in the UI, you must ensure proper handling of timestamps and sender/recipient IDs.

You can certainly do that. By calling `list_phone_destinations`, your app pulls the live directory list into the UI, allowing users to select extensions without hitting a dead end.

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