A laundry planning assistant that uses preferences and real-time weather forecasts.
This project implements an MCP (Model Context Protocol) server designed to help with laundry planning.
The server provides tools to access information about laundry preferences and real-time weather forecasts. An AI assistant can leverage these tools to determine the best times for washing and drying clothes, especially when line-drying is the preferred method.
When connected to an assistant like Claude Desktop, this MCP server allows for natural language queries about laundry planning.
You’ll need to add this server in the mcpServers key.
{
"mcpServers": {
"laundry-timer": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/laundry-timer-mcp",
"run",
"server.py"
]
}
}
}
After that, for example, you could ask: "Is it a good time to do my laundry today at Sydney, NSW?"
To make the laundry planning even smarter, the server could be enhanced to include information about electricity pricing. By integrating with a data source for Time-of-Use (TOU) tariffs, the assistant could identify periods of the day when electricity is least expensive.
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