User Timezone Tool
Cloudflare Worker that deploys an MCP server providing a single tool to return a user's timezone based on their IP address.
What is User Timezone Tool?
User Timezone Tool is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to cloudflare worker that deploys an mcp server providing a single tool to return a user's timezone based on their ip address.
Cloudflare Worker that deploys an MCP server providing a single tool to return a user's timezone based on their IP address.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Cloudflare Worker that deploys an MCP server providing a sin
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx user-timezone-toolConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about User Timezone Tool
What is User Timezone Tool?
User Timezone Tool is a Model Context Protocol (MCP) server that cloudflare worker that deploys an mcp server providing a single tool to return a user's timezone based on their ip address. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install User Timezone Tool?
Follow the installation instructions on the User Timezone Tool GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with User Timezone Tool?
User Timezone Tool works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is User Timezone Tool free to use?
Yes, User Timezone Tool is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up User Timezone Tool 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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