Nanoleaf Launches MCP Server for AI-Controlled Smart Lights
Nanoleaf's new MCP server lets developers control smart lights via AI assistants like ChatGPT and Claude. Pre-built integrations arrive in October.
Nanoleaf today launched its Model Context Protocol (MCP) server, a tool that enables users to control Nanoleaf smart lights through AI assistants such as ChatGPT and Claude. The server is available now on Nanoleaf's website, along with developer guides.
The MCP tools allow developers to create custom routines and integrate APIs for real-time updates. This means lighting can respond dynamically to AI-driven commands or external data streams.
Nanoleaf says it will release pre-built, one-click integrations for ChatGPT, Claude, and other AI assistants in October. Until then, developers can use the current MCP tools to build their own connections.
The move positions Nanoleaf at the intersection of smart home hardware and generative AI, following a broader trend of device makers adopting the Model Context Protocol to let AI assistants interact with physical products.
Quick answers
What is Nanoleaf's MCP server?
It's a Model Context Protocol server that lets users control Nanoleaf smart lights through AI assistants like ChatGPT and Claude.
When will pre-built integrations for ChatGPT and Claude be available?
Nanoleaf will launch one-click integrations for ChatGPT, Claude, and other AI assistants in October.
Where can developers find Nanoleaf's MCP tools?
The MCP tools and guides are available today on Nanoleaf's website.