How to Use the Arlo Smart MCP in OpenAI Agents SDK

Q: How do I delete old video clips?

Call the deletearlorecordings tool with the specific JSON objects you want gone. This action is permanent. Your agent should probably ask for human confirmation before executing it.

Connect the Arlo Smart MCP Server to your OpenAI Agents SDK system. Build production camera monitors with strict execution guardrails.

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Connect Arlo Smart MCP to OpenAI Agents SDK

Create your Vinkius account to connect Arlo Smart to OpenAI Agents 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 OpenAI Agents SDK

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Perplexity

Arm and disarm cameras via OpenAI Agents SDK

Your production agent needs to control physical security states safely. The `arm_arlo_device` and `disarm_arlo_device` tools let your code flip the switch on motion detection. Passing the device ID is all it takes for the agent to handle the state change. Tracing built into the framework means you always know exactly when a camera was armed. If you need granular control, `set_arlo_device_mode` accepts custom mode IDs straight from the Arlo app. Guardrails prevent accidental disarms during active incidents.

Pull and filter security footage

Retrieving video files usually requires messy API wrappers. This MCP integration exposes `get_arlo_recordings` so your agent grabs presigned URLs for specific date ranges directly. You get the raw mp4 links alongside duration metadata. For immediate incident response, `get_recent_arlo_recordings` pulls the last 24 hours of activity. Handoffs work perfectly here. One agent fetches the URLs, and a vision-specialized agent analyzes the frames.

Map your hardware topology

Before an agent issues commands, it has to know what hardware exists. The `list_arlo_devices` tool returns the complete inventory of cameras and hubs. It includes current connection status and device types. You can isolate specific hardware classes using `list_arlo_basestations` or `list_arlo_cameras`. This MCP Server feeds the raw JSON straight into your OpenAI dashboard for logging. State tracking becomes trivial.

Setup guide

Set up Arlo Smart MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Arlo Smart tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Arlo Smart tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Arlo Smart tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Arlo Smart Agent",
            instructions="You have access to Arlo Smart tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Arlo Smart MCP in OpenAI Agents SDK

Run pip install openai-agents first. Then create an MCPServerStreamableHttp instance with your endpoint URL. Pass it into your Agent constructor using the mcp_servers list.

Yes. The framework automatically registers the 11 available camera functions. Set cacheToolsList=True in your server parameters to speed up the initial connection.

It works perfectly. You can have a security agent pull footage and hand it off to a vision agent. The MCP protocol keeps the context intact across the transfer.

Call the `delete_arlo_recordings` tool with the specific JSON objects you want gone. This action is permanent. Your agent should probably ask for human confirmation before executing it.

This server processes raw video files and motion timestamps. Vinkius isolates your instance in an ephemeral V8 sandbox. Zero-trust architecture guarantees the footage never touches persistent storage outside your specific session.

Use it with your favorite AI tools

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