Laundry Timer
Helps plan optimal laundry times by providing access to laundry preferences and real-time weather forecasts, particularly useful for determining when to line-dry clothes.
What is Laundry Timer?
Laundry Timer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to helps plan optimal laundry times by providing access to laundry preferences and real-time weather forecasts, particularly useful for determining when to line-dry clothes.
Helps plan optimal laundry times by providing access to laundry preferences and real-time weather forecasts, particularly useful for determining when to line-dry clothes.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Helps plan optimal laundry times by providing access to laun
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx laundry-timer-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Laundry Timer
What is Laundry Timer?
Laundry Timer is a Model Context Protocol (MCP) server that helps plan optimal laundry times by providing access to laundry preferences and real-time weather forecasts, particularly useful for determining when to line-dry clothes. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Laundry Timer?
Follow the installation instructions on the Laundry Timer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Laundry Timer?
Laundry Timer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Laundry Timer free to use?
Yes, Laundry Timer is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
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Set Up Laundry Timer in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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