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Time Server MCP Server

Developer ToolsPython
A simple server that provides datetime information to AI systems
Available Tools

get_current_time

Returns the current local time in the system timezone

Time Server is a lightweight MCP server that provides access to current date and time information. It allows AI agents and chat systems to retrieve accurate time data in various timezones, enabling time-aware applications and responses. The server implements a simple datetime URI scheme and exposes tools that make it easy for AI systems to access current time information without requiring complex configurations or dependencies.

Overview

Time Server provides AI systems with the ability to access current date and time information. This is particularly useful for applications that need to be time-aware, such as scheduling assistants, reminder systems, or any AI that needs to reference the current time in its responses.

Installation

To install the Time Server MCP, you can use the uvx package manager. Add the following configuration to your MCP client:

{
  "mcpServers": {
    "MCP-timeserver": {
      "command": "uvx",
      "args": ["MCP-timeserver"]
    }
  }
}

This configuration will automatically download and run the Time Server when requested by your AI system.

Usage

Accessing Time Resources

The server implements a datetime URI scheme that allows you to access the current time in different timezones. You can use the following format:

datetime://TIMEZONE/now

Where TIMEZONE is a valid timezone identifier. For example:

datetime://Africa/Freetown/now
datetime://Europe/London/now
datetime://America/New_York/now

These URIs can be used within your AI system to request the current time in specific regions.

Using the Time Tool

The server also provides a simple tool that can be called directly to get the current system time:

get_current_time()

This will return a string with the current time in the system's timezone, formatted as "The current time is YYYY-MM-DD HH:MM:SS".

Benefits

  • Provides AI systems with accurate time information
  • Supports multiple timezones for global applications
  • Simple, lightweight implementation with minimal dependencies
  • Easy integration with existing AI frameworks and chat systems

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