How to Use the Arlo Smart MCP in Vercel AI SDK

Q: How do I handle Arlo Smart camera arming in my Vercel AI SDK app?

You pass the tools from the Arlo Smart MCP server to your streamText function. When a user asks to arm a camera, the agent triggers armarlodevice with the correct ID.

Q: Can I display Arlo Smart video recordings on my Next.js page using Vercel AI SDK?

Yes. The tool getarlorecordings returns presigned URLs for video files. Your agent streams these URLs to the frontend, where you can display them in a standard HTML5 video tag.

Q: What is the fastest way to get Arlo Smart status updates in Vercel AI SDK?

Call getarlodevicemodes to see if your hardware is armed or disarmed. Since this runs on Vinkius' edge infrastructure, the response returns in milliseconds to keep your UI snappy.

Q: How does the agent handle storage cleanup?

The agent can invoke deletearlorecordings using an array of recording objects. This permanently deletes the selected video files from the cloud library to free up storage space.

Let your Vercel AI SDK app toggle security modes and display camera recordings live in your Next.js frontend without loading spinners.

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Connect Arlo Smart MCP to Vercel AI SDK

Create your Vinkius account to connect Arlo Smart 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 Arlo Smart with Vercel AI SDK

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Control camera states with Vercel AI SDK UI tools

Let your users arm or disarm their home security setup directly from a chat interface. By using `set_arlo_device_mode`, your application can flip between armed, disarmed, or custom modes instantly based on user prompts. You don't have to write custom API glue code to change states. The client calls `arm_arlo_device` or `disarm_arlo_device` under the hood, and the updated status displays immediately in your React components.

Feed recent video clips straight to the user

Pulling video recordings usually requires boring dashboard navigation. This MCP server lets your frontend agent use `get_recent_arlo_recordings` to grab the last 24 hours of activity and present the clips to the user. For specific date searches, the agent executes `get_arlo_recordings` with start and end dates. It gets back presigned download URLs that you can render inside native video players on your page.

Map out the home network instantly

Before triggering actions, your agent needs to know what hardware is online. The server runs `list_arlo_devices` to return a clean list of every camera and hub connected to the account. You can also narrow the scope by calling `list_arlo_cameras` or `list_arlo_basestations` separately. This keeps payload sizes small and ensures your edge functions run fast.

Setup guide

Set up Arlo Smart 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 Arlo Smart 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 Arlo Smart 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 Arlo Smart. 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 Arlo Smart MCP in Vercel AI SDK

You pass the tools from the Arlo Smart MCP server to your `streamText` function. When a user asks to arm a camera, the agent triggers `arm_arlo_device` with the correct ID.

Yes. The tool `get_arlo_recordings` returns presigned URLs for video files. Your agent streams these URLs to the frontend, where you can display them in a standard HTML5 video tag.

Call `get_arlo_device_modes` to see if your hardware is armed or disarmed. Since this runs on Vinkius' edge infrastructure, the response returns in milliseconds to keep your UI snappy.

The agent can invoke `delete_arlo_recordings` using an array of recording objects. This permanently deletes the selected video files from the cloud library to free up storage space.

Yes. Your video links, device IDs, and status modes are processed inside sandboxed V8 isolates. Vinkius never stores your raw video streams or credentials, keeping your home security data private.

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