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How to Use the Estimote MCP in Vercel AI SDK

Control physical beacons and stream live location telemetry directly into React UIs using the Estimote MCP server and Vercel AI SDK.

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Vercel AI SDK

Connect Estimote MCP to Vercel AI SDK

Create your Vinkius account to connect Estimote 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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Stream Live Location Telemetry to UI

`get_beacon_telemetry` pulls real-time temperature, light, and motion sensor data from physical beacons directly into your React components. Instead of waiting for a slow backend polling loop, your Vercel AI SDK setup streams this hardware state straight to the user's screen. Our Vinkius sandbox executes these requests in isolated V8 environments to keep your live dashboard fast. You fetch ambient light levels and barometric pressure data with zero lag, rendering physical store conditions in the browser immediately.

Map Retail Floors on the Fly

`create_physical_location` registers new stores or venues in your Estimote Cloud database directly from a conversational prompt. Your Vercel AI SDK agent takes the address and geographic coordinates, instantiates the site, and immediately returns the live deployment footprint. Once the physical site exists, the agent triggers `list_physical_locations` to verify the setup. This gives your on-site deployment team immediate visual feedback in the web UI as they mount the physical hardware.

Manage Beacon Fleet Settings via MCP Server

`update_beacon_settings` queues configuration changes like broadcasting power and advertising intervals in the cloud shadow. Your Vercel AI SDK client updates these settings when users tweak sliders in your admin dashboard, avoiding manual command-line configurations. To keep your fleet organized, the agent uses `assign_tag_to_beacon` to group devices by zone or retail department. The changes sync to the physical hardware the next time a field device running the SDK connects.

Setup guide

Set up Estimote 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 Estimote 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 Estimote 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 Estimote. 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

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Common questions about Estimote MCP in Vercel AI SDK

Pass the tools from `createMCPClient` directly into `streamText`. The agent invokes `get_beacon_telemetry` to fetch live sensor readings and streams the raw temperature or motion data directly to your frontend.
Yes, the SDK triggers `update_beacon_settings` to modify broadcasting parameters in the cloud shadow. The physical beacon pulls these queued changes as soon as a mobile device with your app passes within Bluetooth range.
The SDK processes the paginated array returned by `list_beacon_devices` to display your hardware inventory. It parses MAC addresses and current battery levels, then streams the formatted list to your UI components without blocking the main thread.
Running `remove_beacon_device` permanently deletes the hardware configuration and analytics history from Estimote Cloud. The physical beacon continues to broadcast its signal, but your agent will no longer track it or display it in your app.
Vinkius routes all Estimote MCP server telemetry and MAC address details through an isolated, zero-trust V8 sandbox. Your API tokens remain encrypted on our servers, ensuring your physical store coordinates and sensor readings never leak to public networks.

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