I let Claude redesign my Home Assistant dashboard, and it did in minutes what I'd put off for months
Claude redesigned my entire Home Assistant dashboard using MCP, and the results look like a commercial product
Claude, the AI assistant, helped the author redesign their Home Assistant dashboard in just an hour, a task that would have taken them weeks. By establishing a connection to their Home Assistant setup via the Model Context Protocol (MCP), Claude gained a comprehensive understanding of the author's smart home configuration. This included device names, statuses, and interactions between various entities like lights, media players, and smart speakers.
With this context, Claude was able to identify and troubleshoot issues such as a malfunctioning music player widget and misbehaving Plex streamer. To aid in the redesign, the author shared their existing YAML configuration files and screenshots of the current interface. This provided Claude with essential context regarding the layout, card structure, and custom components used in the dashboard.
Armed with this information, Claude generated new configuration files, enabling the author to make significant improvements to the dashboard's appearance and functionality. While Claude couldn't handle every aspect of the redesign, such as specific input select helpers or swipe cards, it excelled at creating the underlying YAML configuration files.
This streamlined the process of swapping out old files with the new ones, eliminating the need for manual editing and troubleshooting. The author emphasizes that Claude's ability to communicate with their Home Assistant server and leverage existing configurations was the most valuable aspect of their dashboard overhaul. Previously, the author had been procrastinating on reorganizing their dashboard due to the time-consuming and tedious nature of the task.
With Claude's assistance, they were able to not only fix but also enhance their smart home setup in a fraction of the time.
Written by urgent.news from XDA Developers's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.