How to Use the Arlo Smart MCP in LlamaIndex

Q: How can I use LlamaIndex to search my Arlo Smart recordings?

You build a RAG agent that calls getarlorecordings to fetch video metadata. LlamaIndex then indexes this data, letting you search for clips using natural language questions about dates or times.

Turn your Arlo security events into a queryable knowledge base with LlamaIndex. Ask questions, get answers from your camera footage.

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Connect Arlo Smart MCP to LlamaIndex

Create your Vinkius account to connect Arlo Smart to LlamaIndex 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 LlamaIndex

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Create a Searchable Index of Arlo Events

Use LlamaIndex to build a RAG pipeline that knows your home's security history. Your agent periodically calls `get_arlo_recordings` for new clips. It can then use a multimodal model to generate descriptions for each video and indexes that text. Now you can ask questions in natural language, like "show me all the times a package was delivered last week." LlamaIndex performs a vector search over your indexed history, finds the relevant recording metadata, and gives you a grounded answer with links to the videos.

Ask LlamaIndex About Your Arlo Setup

Your agent can build a knowledge base of your security configuration. It calls `list_arlo_devices` and `get_arlo_device_modes` and indexes the output. This captures the state of your system at a point in time. You can then ask your LlamaIndex app, "Which cameras were armed last night?" It won't have to call the API again; it queries its own index of past tool calls for the answer. This MCP Server makes feeding that live data simple.

Grounded Security Decisions with Your MCP Server

Your agent can do more than just answer questions. When you ask it to "make sure the house is secure," it can query its knowledge base to see what devices you have and their current state. Based on that indexed data, it can form a plan, calling `arm_arlo_device` or `set_arlo_device_mode` on any devices that are disarmed. All actions are grounded in the data retrieved from the Arlo Smart tools.

Setup guide

Set up Arlo Smart MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Arlo Smart MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Arlo Smart tools.",
)
response = await agent.run("List recent Arlo Smart data")

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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 LlamaIndex

You build a RAG agent that calls `get_arlo_recordings` to fetch video metadata. LlamaIndex then indexes this data, letting you search for clips using natural language questions about dates or times.

Yes. Your agent can query its index of past modes and events to make an informed choice. It then uses the `set_arlo_device_mode` tool from this MCP Server to apply the new mode to your cameras or basestation.

LlamaIndex excels at creating a memory. It indexes the output of tools like `list_arlo_devices` and `get_arlo_recordings`, so your agent can answer questions about past security states without making new API calls.

No. Vinkius handles all the authentication with Arlo. You just give your LlamaIndex agent the single MCP endpoint URL and your Vinkius token.

The server works with your Arlo device list, their current armed/disarmed state, and metadata for your video recordings. Your Arlo credentials are not exposed to the agent, and all data is processed within Vinkius's secure, isolated sandbox for each request.

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