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Artificial intelligence already controls your home with Google Home MCP

La inteligencia artificial controla tu hogar

Artificial intelligence has already become an active part of our daily lives, and now it has taken a step further to completely control and automate your smart home thanks to new capabilities integrated with Google Home MCP.

The evolution of artificial intelligence takes a new leap toward total connectivity. Google has announced early access to Home MCP (Model Context Protocol), a strategic move that allows any external AI agent (such as Claude, OpenClaw, or Hermes, among others) to connect directly with the Google Home ecosystem.

Until now, the management of smart devices was limited to the company's native assistant or closed integrations within official apps. With this opening, the digital home enters a new dimension where automation is no longer rigid, becoming truly autonomous and conversational.

What is Home MCP and how does it control your home with artificial intelligence?

The Model Context Protocol (MCP) is an open standard designed to connect AI models with external tools, applications, and data repositories. By implementing this server in Google Home, the platform acts as a secure bridge between compatible devices (such as Google Nest cameras and doorbells, thermostats, and smart bulbs under the Matter standard) and third-party artificial intelligence assistants.

This means users no longer depend on isolated voice commands or traditional interfaces. An external AI agent with access to the ecosystem can read event histories, analyze sensor data, and reason from them to execute complex actions.

Advanced capabilities for everyday life

Integration via MCP transcends simple "turn on or off a light" home automation. Among the most prominent possibilities enabled by these new agents are:

  • Combined video analysis: It is possible to ask the agent for a summary of what happened at home—for example, what happened when the children arrived from school—automatically extracting snippets from multiple security cameras.
  • Historical patterns and complex queries: The AI can review device history to answer detailed questions, such as how many times the washing machine was run during the week or the exact time an HVAC system remained active.
  • Creation of custom dashboards: Users can ask the agent in natural language to design control panels tailored to their consumption needs and actual usage.
  • Integrated responses: The system can use smart home speakers, such as Nest devices, to announce the completion of certain tasks out loud.

It does not replace Gemini for Home

Google has clarified that Home MCP does not replace Gemini for Home, the native assistant designed to substitute Google Assistant in the Google Home app and Nest devices.

Instead, Home MCP functions as an upper and complementary layer. It allows AI tools that the user already employs in their daily work or personal routine to converse fluently with their home infrastructure.

Security and initial availability

Granting an artificial intelligence agent access to sensitive household elements—such as thermostats, sensors, or surveillance systems—poses significant challenges regarding privacy and cybersecurity. Google has incorporated strict usage limits and protections, blocking critical actions like the physical unlocking of doors by default. However, the company advises caution and recommends reviewing the terms of service carefully, warning that external agents may generate complex or unexpected behaviors.

In this first phase, Home MCP is rolling out gradually for subscribers of the Google Home Premium Advanced plan in the United States (costing 20 dollars per month) and requires initial technical configuration through a Google Cloud project. There is still no official confirmation regarding its arrival in other markets or subscription tiers.

This move confirms that home automation and large language models (LLMs) are moving hand in hand toward a hyper-connected future, where the management of smart spaces will be increasingly intuitive, versatile, and autonomous.

What do you think of this integration? Would you let an external artificial intelligence manage your home automation? Leave us your comments.

 

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