Your AI agents can now control your Google Home devices
First reported by TechCrunch ·
Your AI assistants can now directly control your smart home devices, letting you manage lights and cameras with voice commands.
Google has introduced early access to its Model Context Protocol (MCP) server for its Google Home ecosystem, enabling AI agents to securely interact with smart home devices. This feature allows users to control devices, monitor activity, and build custom dashboards using natural language commands through AI agents like ChatGPT, Claude, and others. To set up the integration, users must create a Google Cloud project, configure it for Home MCP, and then grant permissions to their chosen AI agent. The MCP will support all Google Home devices, including Nest products and Matter-compatible devices. This functionality is currently rolling out to subscribers of the $20-per-month Google Home Premium Advanced tier in the U.S. Google is actively seeking feedback from early adopters through its developer community and has not yet announced broader availability plans.
This integration marks a significant step towards more deeply embedded AI in daily life, moving beyond standalone chatbots to agents that actively manage physical environments. The MCP's secure protocol is designed to build trust and ensure data privacy, which are critical for widespread adoption of AI in home automation. Google's phased rollout to a premium subscription tier suggests a strategy to refine the service with dedicated users before a wider release, potentially influencing future smart home subscription models.
The move affects users of AI agents and Google Home devices by offering enhanced convenience and personalization for smart home management. It could also spur competition among AI developers to build more sophisticated home control functionalities and integrations. Future developments to watch include the MCP's expansion to other Google subscription tiers and international markets, as well as how third-party "Works with Google Home" device manufacturers adapt to this new AI-driven control layer.
AI-written summary. May contain errors.