How to Use AT&T IoT MCP Server with Vercel AI SDK using Vinkius

Give Vercel AI SDK instant access to 10 tools to Activate Device, Diagnose Connectivity, Get Data Usage, and more using Vinkius.

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AT&T IoT through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The AT&T IoT MCP Server for Vercel AI SDK is a standout in the Industry Titans category, giving your AI agent 10 tools to work with, ready to go from day one.

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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using AT&T IoT, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

About AT&T IoT MCP Server

Connect your AT&T IoT account to any AI agent and take full command of your IoT SIM fleet through natural conversation.

The Vercel AI SDK collapses the distance between AT&T IoT data and the user interface to zero. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. There is no loading state, no polling, no manual state management. The SDK gives every tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. It runs on Edge Functions, Cloudflare Workers, and any Node.js runtime, meaning AT&T IoT data reaches the browser at the speed of the nearest edge node.

What you can do

Device Inventory -- List all IoT SIMs with ICCIDs, statuses (active, suspended, deactivated), data plan names, and last activity dates
Real-Time Status -- Get live connectivity state, IP address, signal strength, data used/remaining, and suspension reasons for any SIM
Activate & Suspend -- Instantly activate suspended devices or suspend compromised SIMs to block network access and contain costs
Resume Devices -- Restore network access to suspended SIMs after troubleshooting or policy clearance without reprovisioning
Data Usage Tracking -- Retrieve current and historical usage per SIM with daily breakdowns, overage alerts, and cycle forecasts
Data Pool Management -- List shared data pools, monitor aggregate consumption, identify top-consuming devices, and prevent pool exhaustion
Device Configuration -- Update rate limits, APN settings, and pool assignments to optimize performance or migrate devices between plans
Automated Diagnostics -- Run connectivity troubleshooting checks including network registration, APN config, data session status, and known outages

The AT&T IoT MCP Server exposes 10 tools through Vinkius. Connect it to Vercel AI SDK in under two minutes. Fully managed, no infrastructure to provision, no vendor lock-in.

10 tools included

Explore every tool AT&T IoT exposes to Vercel AI SDK through Vinkius.

View all 10 tools

Connect AT&T IoT to Vercel AI SDK via MCP

Follow these steps to connect AT&T IoT to Vercel AI SDK. The setup takes under two minutes and requires no coding or server hosting.

Get your Vinkius Access Token

Go to cloud.vinkius.com to log in or create a free account, and retrieve your personal access token from the dashboard. This token is required to authenticate your connection to the hosted AT&T IoT MCP server.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 10 tools from AT&T IoT and passes them to the LLM

Why Use Vercel AI SDK with the AT&T IoT MCP Server

Vercel AI SDK provides unique advantages when paired with AT&T IoT through the Model Context Protocol.

Stream AT&T IoT tool results from Vinkius directly into React, Svelte, or Vue components with progressive rendering. Users see data appear in real-time, not after a loading spinner

Full TypeScript type inference for every AT&T IoT tool discovered through Vinkius. IDE autocomplete shows available parameters and return types as you write

Runs on Edge Functions, Cloudflare Workers, and any Node.js runtime. AT&T IoT data from Vinkius reaches the browser from the nearest edge node

`useChat` and `streamText` primitives handle the entire AT&T IoT tool call lifecycle: invocation through Vinkius, streaming, error states, and UI updates. No manual state management

AT&T IoT + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the AT&T IoT MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query AT&T IoT in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate AT&T IoT tools and return structured JSON responses to any frontend

Chatbots with tool use: embed AT&T IoT capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with AT&T IoT through natural language queries

Example Prompts for AT&T IoT in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AT&T IoT immediately.

"List all my IoT devices and show me which ones are suspended."

"Device ICCID 8901234567890123456 is offline. Run diagnostics and tell me what's wrong."

"Check the data pool usage for 'Enterprise-Fleet-A' and tell me our top 5 consuming devices."

Troubleshooting AT&T IoT MCP Server with Vercel AI SDK

Common issues when connecting AT&T IoT to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

AT&T IoT + Vercel AI SDK FAQ

Common questions about integrating AT&T IoT MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect AT&T IoT using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics