Wizlights MCP Server

The Wizlights MCP Server bridges the gap between language models and smart lighting by allowing LLMs to send real‑time commands to WiZ-connected lights. Instead of manually toggling bulbs through an app, developers can embed lighting control directly into conversational agents or automated workflows. This capability is especially valuable for building immersive experiences, such as mood‑setting scenes in virtual assistants or dynamic lighting cues in smart home automation.

At its core, the server exposes a set of MCP resources that map to WiZ light functions: turning lights on or off, adjusting brightness, selecting colors, and creating multi‑device scenes. Each resource is represented as a JSON schema that the model can read and write, enabling the assistant to reason about lighting states without needing to understand low‑level network protocols. The underlying implementation relies on the well‑maintained library, which handles discovery and communication with WiZ devices over the local network.

Key features include:

• Device discovery – The server automatically scans for WiZ lights on the network, presenting them as selectable resources.
• State manipulation – Models can set brightness levels, RGB colors, and toggle power with simple prompts.
• Scene creation – Multiple lights can be grouped into named scenes, allowing batch updates with a single command.
• Real‑time feedback – The server streams the current state back to the model, ensuring that subsequent actions are based on up‑to‑date information.

Typical use cases span entertainment, accessibility, and home automation. For example, a conversational agent could respond to “dim the living room lights to 30% while playing jazz” by composing a concise MCP command that adjusts both color and brightness. In accessibility scenarios, an LLM could interpret voice commands from a user with limited mobility and translate them into lighting adjustments. Developers can also integrate the server into larger workflows, such as pairing light changes with calendar events or sensor triggers.

Because the Wizlights MCP Server adheres to the MCP specification, it can be plugged into any compliant AI platform—Claude Desktop included. This modularity means that once the server is running, developers can quickly extend their assistants’ capabilities without rewriting custom code for each new device type. The result is a flexible, declarative approach to smart lighting that empowers AI assistants to create richer, context‑aware interactions.