How to Use the Arlo Smart MCP in CrewAI

Q: How do CrewAI agents analyze Arlo Smart video clips?

Agents use getarlorecordings to retrieve presigned video URLs. They can then parse the metadata or pass the video files to vision-capable models to analyze what caused the motion trigger.

Q: How do agents know which camera is which?

The crew starts by running listarlodevices, which returns a list of all cameras and basestations. This list includes the names and IDs needed to target specific hardware.

Deploy a team of autonomous CrewAI agents to monitor your home, manage camera modes, and review Arlo Smart recordings.

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Connect Arlo Smart MCP to CrewAI

Create your Vinkius account to connect Arlo Smart to CrewAI 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 CrewAI

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Run a digital guard team with CrewAI agents

Set up a dedicated monitoring agent that constantly checks on your home. By calling `get_recent_arlo_recordings`, the agent reviews any activity detected over the past 24 hours. If the monitor agent spots suspicious activity, it can pass the incident details to a coordinator agent. That second agent can then execute `arm_arlo_device` to lock down other areas of your property.

Delegate storage cleanup to specialized roles

Managing gigabytes of video clips is tedious. You can assign a storage manager agent to run `get_arlo_recordings` and filter out clips that only contain wind or passing cars. Once the agent compiles the useless clips, it calls `delete_arlo_recordings` to wipe them. This keeps your cloud storage clean without requiring you to review hours of boring footage.

Run automated security audits

Ensure your home defenses are always active when they should be. An auditor agent uses `list_arlo_devices` to build a complete inventory of your hardware and check which devices are active. The agent then queries `get_arlo_device_modes` to check if any critical cameras are disarmed. If it finds a vulnerability, it switches the mode using `set_arlo_device_mode` to secure the perimeter.

Setup guide

Set up Arlo Smart MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Arlo Smart tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Arlo Smart Analyst",
    goal="Access and analyze Arlo Smart data via MCP.",
    backstory="Expert analyst with direct Arlo Smart access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Arlo Smart transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Arlo Smart Analyst",
        goal="Access and analyze Arlo Smart data via MCP.",
        backstory="Expert analyst with direct Arlo Smart access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Arlo Smart transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Yes. You can assign the MCP tools to any agent in your crew. The agent will invoke `arm_arlo_device` with the target device ID when security protocols are triggered.

Agents use `get_arlo_recordings` to retrieve presigned video URLs. They can then parse the metadata or pass the video files to vision-capable models to analyze what caused the motion trigger.

Yes. You can filter the tools exposed to your crew using the tool_filter configuration, ensuring agents only have access to read tools like `get_arlo_device_modes` and not delete tools.

The crew starts by running `list_arlo_devices`, which returns a list of all cameras and basestations. This list includes the names and IDs needed to target specific hardware.

It isn't stored. Vinkius acts as a secure, zero-trust bridge that passes your camera IDs, recording metadata, and configuration parameters directly to your local CrewAI runtime without keeping any logs of your home layout.

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