Google will now let any AI agent run your smart home

谷歌现在允许任何 AI 智能体管理你的智能家居

Google is opening up its smart home to AI agents, letting tools like Claude and Open Claw access and control your connected devices and analyze your home’s data using the standardized Model Context Protocol.

谷歌正在向 AI 智能体开放其智能家居平台，允许 Claude 和 Open Claw 等工具通过标准化的模型上下文协议（MCP）访问并控制你的联网设备，同时分析你的家庭数据。

Google Home MCP is a new integration that lets third-party AI agents control and monitor your smart home and act on your behalf. It “allows any AI agents that support MCP, including Google Antigravity, Claude, Hermes or Open Claw, to securely work with all of the devices and event history in your Google Home ecosystem,” Taylor Lehman, group product manager at Google Home & Nest, said in a blog post.

Google Home MCP 是一项全新的集成功能，允许第三方 AI 智能体控制和监控你的智能家居，并代表你执行操作。Google Home & Nest 的产品组经理 Taylor Lehman 在一篇博文中表示，它“允许任何支持 MCP 的 AI 智能体（包括 Google Antigravity、Claude、Hermes 或 Open Claw）安全地与你 Google Home 生态系统中的所有设备及事件历史记录进行交互。”

According to Lehman, Home MCP integration will connect your AI agent of choice to real-world events, enabling a host of new capabilities. From things like cross-camera analysis — so you could ask your agent what your kid did when they got home from school — to using device state history to figure out how many loads of laundry you did last week or how long the lights were left on. It will also allow your agent to interact with you via voice, for example, by sending an audio message over your Google Home speaker when it has finished a task. You can also have your agent create a custom dashboard to control your Google Home.

据 Lehman 介绍，Home MCP 集成将把你选择的 AI 智能体与现实世界的事件连接起来，从而实现一系列新功能。从跨摄像头分析（例如你可以询问智能体孩子放学回家后做了什么），到利用设备状态历史记录来统计你上周洗了几次衣服，或者灯光开启了多长时间。它还允许智能体通过语音与你互动，例如在完成任务后通过你的 Google Home 音箱发送语音消息。你还可以让智能体创建一个自定义仪表盘来控制你的 Google Home。

This doesn’t replace Google’s new Gemini for Home assistant, which remains Google’s interface for interacting with Google Home through the Home app and Google Nest smart speakers, following the demise of Google Assistant. Instead, MCP integration adds another layer of control, allowing third-party AI agents to interact directly with devices connected to Google Home through their own interfaces.

这并不会取代谷歌新的 Gemini for Home 助手。在 Google Assistant 停用后，Gemini for Home 依然是谷歌通过 Home 应用和 Google Nest 智能音箱与 Google Home 进行交互的主要界面。相反，MCP 集成增加了一层控制，允许第三方 AI 智能体通过它们自己的界面直接与连接到 Google Home 的设备进行交互。

At launch, availability is limited to Google Home Premium Advanced users in the US ($20/month or $200/year), with access rolling out in the coming weeks. Setup requires creating a Google Cloud project and configuring it to use the Home MCP.

在发布初期，该功能仅限于美国的 Google Home Premium Advanced 用户（每月 20 美元或每年 200 美元），并将在未来几周内逐步开放。设置过程需要创建一个 Google Cloud 项目并将其配置为使用 Home MCP。

Giving an AI agent access to real-world devices like smart locks, thermostats, and core infrastructure like HVAC systems and appliances raises obvious questions about security, privacy, and safety. Google says Home MCP enforces rate limits and safety protections; for example, it won’t allow an agent to unlock doors. However, depending on your agent, “connecting it to Home MCP can result in unexpected or even undesired behavior,” said Lehman, who recommends reviewing Google’s developer policies and terms of service.

让 AI 智能体访问智能锁、恒温器以及暖通空调系统和家电等核心基础设施，引发了关于安全、隐私和保障的明显担忧。谷歌表示，Home MCP 强制执行了速率限制和安全保护措施；例如，它不会允许智能体解锁房门。然而，Lehman 指出，根据你所使用的智能体不同，“将其连接到 Home MCP 可能会导致意外甚至不希望出现的行为”，他建议用户查阅谷歌的开发者政策和服务条款。

The biggest change here isn’t that Google Home can now turn your lights on and off through your Claude app; it’s that Claude — or your agent of choice — has access to the underlying data and control layer of your home. It’s a step toward building a whole home computer for your smart home that can understand what’s happening in it, reason across its history, and take action on your behalf.

这里最大的变化并不是 Google Home 现在可以通过你的 Claude 应用开关灯；而是 Claude（或你选择的任何智能体）获得了你家庭底层数据和控制层的访问权限。这是朝着为智能家居构建“全屋计算机”迈出的一步，它能够理解家中正在发生的事情，根据历史记录进行推理，并代表你采取行动。

Still, there are real advantages to giving an AI agent access to your smart home. It can reason across the data your home generates and act on it in ways traditional smart home systems generally can’t, moving the smart home from command and control toward something more contextual and proactive, closer to actual intelligence. A system that can troubleshoot a device, suggest improvements to automations, and track and identify patterns across your home is much more useful than one that just says “I’m sorry, I can’t do that.”

尽管如此，让 AI 智能体访问你的智能家居确实有明显的优势。它能够对家庭产生的数据进行推理，并以传统智能家居系统通常无法实现的方式采取行动，使智能家居从单纯的“指令与控制”转向更具情境感知和主动性的模式，更接近真正的智能。一个能够排查设备故障、建议自动化改进方案，并追踪和识别家庭行为模式的系统，远比只会说“抱歉，我做不到”的系统更有用。