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Arlo Smart MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Arlo Smart, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Arlo Smart
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Arlo Smart MCP Server

Connect to Arlo Smart API and control your Arlo security cameras, review recordings, and manage security modes from any AI agent. Arm and disarm cameras, browse recorded videos, and monitor your home security through natural language commands.

The Vercel AI SDK gives every Arlo Smart tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Device Discovery — List all Arlo devices including basestations, cameras, doorbells, and floodlights
  • Recording Access — Browse and download recorded videos from any camera with presigned URLs
  • Recent Activity — Quickly check today's recordings across all cameras
  • Security Modes — View and change automation modes (armed, disarmed, custom modes)
  • Arm/Disarm — Enable or disable security monitoring on individual devices or basestations
  • Recording Management — Delete old recordings to free up cloud storage space
  • Metadata Access — Get detailed recording metadata including duration, timestamps, and download links

The Arlo Smart MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Arlo Smart to Vercel AI SDK via MCP

Follow these steps to integrate the Arlo Smart MCP Server with Vercel AI SDK.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

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

04

Explore tools

The SDK discovers 11 tools from Arlo Smart and passes them to the LLM

Why Use Vercel AI SDK with the Arlo Smart MCP Server

Vercel AI SDK provides unique advantages when paired with Arlo Smart through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Arlo Smart integration everywhere

03

Built-in streaming UI primitives let you display Arlo Smart tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Arlo Smart + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Arlo Smart MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Arlo Smart in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Arlo Smart tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Arlo Smart capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Arlo Smart through natural language queries

Arlo Smart MCP Tools for Vercel AI SDK (11)

These 11 tools become available when you connect Arlo Smart to Vercel AI SDK via MCP:

01

arm_arlo_device

This enables motion detection and recording for the device. USE WHEN: - User wants to enable security monitoring - User asks to "arm the cameras" or "turn on security" - User wants to enable motion detection and recording - User is leaving home and wants security enabled PARAMETERS: - deviceId (REQUIRED): Arlo device ID to arm EXAMPLES: - "Arm the front door camera" → call with deviceId="FRONT_DOOR_ID" - "Enable security on the backyard camera" → call with deviceId="BACKYARD_ID" - "Arm the basestation" → call with deviceId="BASESTATION_ID" Arm an Arlo device (enable security monitoring)

02

delete_arlo_recordings

This action is permanent and cannot be undone. USE WHEN: - User wants to free up cloud storage space - User wants to remove old or unwanted recordings - User asks to "delete recordings from [date]" - User is managing their Arlo cloud storage PARAMETERS: - recordings (REQUIRED): JSON array of recording objects to delete (from get_arlo_recordings response) EXAMPLES: - "Delete these recordings" → call with recordings=[{...}] Delete Arlo recordings from the library

03

disarm_arlo_device

This disables motion detection and recording for the device. USE WHEN: - User wants to disable security monitoring - User asks to "disarm the cameras" or "turn off security" - User wants to disable motion detection temporarily - User is home and wants to disable security PARAMETERS: - deviceId (REQUIRED): Arlo device ID to disarm EXAMPLES: - "Disarm the front door camera" → call with deviceId="FRONT_DOOR_ID" - "Disable security on the backyard camera" → call with deviceId="BACKYARD_ID" - "Disarm the basestation" → call with deviceId="BASESTATION_ID" Disarm an Arlo device (disable security monitoring)

04

get_arlo_device_modes

Shows whether the device is armed, disarmed, or in a custom mode. Get the current automation modes for an Arlo device

05

get_arlo_recording_metadata

Get detailed metadata for an Arlo recording

06

get_arlo_recordings

Returns presigned URLs for downloading video files along with metadata like duration, device ID, and creation date. USE WHEN: - User wants to download or view Arlo recordings - User needs to check what was recorded on specific dates - User is reviewing security footage - User asks "show me recordings from [date range]" PARAMETERS: - dateFrom (REQUIRED): Start date in YYYYMMDD format (e.g. 20260407) - dateTo (REQUIRED): End date in YYYYMMDD format - deviceId (OPTIONAL): Filter by specific device ID EXAMPLES: - "Get recordings from April 7 2026" → call with dateFrom="20260407", dateTo="20260407" - "Show recordings from last week" → call with dateFrom="20260331", dateTo="20260406" - "Get recordings for camera XYZ on April 5" → call with dateFrom="20260405", dateTo="20260405", deviceId="XYZ" Get Arlo camera recordings for a date range

07

get_recent_arlo_recordings

Useful for quickly checking recent security activity. Get recent Arlo recordings from the last 24 hours

08

list_arlo_basestations

Basestations are the central hubs that connect wireless Arlo cameras to your network. List Arlo basestation/hub devices only

09

list_arlo_cameras

List Arlo camera devices only

10

list_arlo_devices

Each device includes deviceId, deviceName, deviceType, state, and connection status. USE WHEN: - User wants to see all their Arlo security devices - User needs to find device IDs for other commands - User is exploring their Arlo security setup - User asks "what Arlo devices do I have" EXAMPLES: - "List all my Arlo devices" → call with no params - "Show my Arlo security devices" → call with no params - "What Arlo cameras and basestations do I have?" → call with no params List all Arlo devices (basestations and cameras)

11

set_arlo_device_mode

Common modes: mode0 (disarmed), mode1 (armed), mode2 (armed with all motion). You can also use custom mode IDs created in the Arlo app. USE WHEN: - User wants to arm or disarm their Arlo security system - User wants to switch between different security modes - User asks to "arm the cameras" or "disarm the system" - User wants to enable/disable motion detection PARAMETERS: - deviceId (REQUIRED): Arlo device ID - mode (REQUIRED): Mode identifier (mode0=disarmed, mode1=armed, mode2=armed all motion, or custom mode ID) EXAMPLES: - "Arm the front door camera" → call with deviceId="FRONT_DOOR_ID", mode="mode1" - "Disarm all cameras" → call with deviceId="BASESTATION_ID", mode="mode0" - "Set to home mode" → call with deviceId, mode="mode_custom_home" Set the automation mode for an Arlo device

Example Prompts for Arlo Smart in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Arlo Smart immediately.

01

"List all my Arlo devices and show me which cameras I have."

02

"Show me today's recordings from all my Arlo cameras."

03

"Arm all my Arlo cameras for when I leave the house."

Troubleshooting Arlo Smart MCP Server with Vercel AI SDK

Common issues when connecting Arlo Smart to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Arlo Smart + Vercel AI SDK FAQ

Common questions about integrating Arlo Smart MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.

Connect Arlo Smart to Vercel AI SDK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.