How to Use the Dexatel MCP in Vercel AI SDK

Q: How do I handle Dexatel sender IDs in Vercel AI SDK?

Expose the listauthorizedsenderids tool to your agent. When a user asks to send a message, the agent automatically fetches the correct virtual number before executing the send command.

Stream live SMS delivery status and contact profiles directly into your frontend with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Dexatel MCP to Vercel AI SDK

Create your Vinkius account to connect Dexatel 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 Dexatel with Vercel AI SDK

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Build dynamic SMS dashboards with Vercel AI SDK

When your agent calls `get_sms_message_details` or `list_sms_messages`, the Vercel AI SDK streams that payload straight to your UI. You get live text updates appearing in the browser the second the Dexatel MCP Server fetches them. Stop making users wait for heavy API polling. This changes how you build communication portals. Instead of a loading spinner, your users watch their outbound campaign metrics populate in real-time. The agent grabs the data, and your frontend renders it instantly.

Send messages and track failures live

Hooking `send_sms_message` to your frontend lets users fire off texts right from the browser. The moment the message hits the carrier network, the SDK streams the confirmation back to the client. Outbound messaging needs immediate feedback. You skip digging through backend logs when things break. Your agent can run `list_failed_sms_deliveries` and push the exact failure reasons to a dashboard widget. You see bounced numbers and carrier rejections as they happen.

Stream contact histories directly

Triggering `get_contact_profile` pulls entire conversation histories directly into your support view. Customer support reps need context fast. The agent triggers `search_sms_by_content` alongside the profile lookup, pushing the relevant timeline straight to the screen. You skip the entire process of building custom backend routes for contact lookups. The MCP connection handles the authorization, and the SDK manages the UI state. Just pass the tools to the streaming function and let the framework do the heavy lifting.

Setup guide

Set up Dexatel 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 Dexatel 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 Dexatel 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 Dexatel. 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 Dexatel MCP in Vercel AI SDK

Use createMCPClient with your transport configuration. Pass the resulting tools array to streamText or generateText alongside your endpoint token. Always remember to call mcpClient.close() when the stream finishes.

Yes. The SDK natively handles the streaming response from the MCP Server. When the agent checks delivery status, the UI updates instantly without manual state management.

It works perfectly at the edge. You can deploy your streaming routes globally, keeping the latency between the user prompt and the SMS execution as low as possible.

Expose the list_authorized_sender_ids tool to your agent. When a user asks to send a message, the agent automatically fetches the correct virtual number before executing the send command.

The server runs in a zero-trust V8 Isolate Sandbox. When your agent reads phone numbers or SMS contents, that data passes directly to your client without persistent storage. Vinkius handles the auth ephemerally, meaning your address book remains strictly between the endpoint and your frontend.

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