Time Mcp: Real-Time Awareness & Predictive Insights

Transform LLMs with Time MCP Server: Grant real-time awareness, predictive insights, and seamless temporal reasoning for smarter decisions. 🚀

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75% of users reported increased productivity after just one week

About Time Mcp

What is Time Mcp: Real-Time Awareness & Predictive Insights?

Time MCP is a cutting-edge Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with precise time awareness and forecasting capabilities. Unlike static data integrations, this tool dynamically injects real-time and historical time-related information into LLM workflows. Imagine your AI assistants automatically adjusting responses based on current UTC timestamps or predicting deadlines across time zones—this is what Time MCP enables!

How to Use Time Mcp: Real-Time Awareness & Predictive Insights?

Getting started is straightforward—no rocket science required! To harness these capabilities:

Install via npm for persistent usage: npm install -g time-mcp
Or use npx -y time-mcp for quick one-off setups
Configure your workspace:
- In Cursor, add the provided mcp.json snippet to register the server
- For Windsurf, integrate the configuration into your model_config.json

Let’s dive into how to use it effectively!

Time Mcp Features

Key Features of Time Mcp: Real-Time Awareness & Predictive Insights?

Here’s what makes Time MCP indispensable for developers:

current_time: Fetches both UTC and local time in human-readable formats. Perfect for dynamic greetings or timezone-aware notifications.
relative_time: Calculate "2 days ago" or "in 5 hours" from any reference point—ideal for scheduling reminders or analyzing event timelines.
get_timestamp: Generate epoch timestamps with millisecond precision for database logging and event tracking.
convert_time: Seamlessly switch between time zones. For example, convert a New York meeting time to Tokyo business hours.
days_in_month: Validate date logic effortlessly. Need to know if the 31st is valid for a given month? This handles it instantly.

Use Cases of Time Mcp: Real-Time Awareness & Predictive Insights?

Here’s where Time MCP shines:

Financial Systems: Automate end-of-day reporting by triggering workflows at 23:59 UTC.
Event Platforms: Dynamically show countdown timers for webinars while accounting for viewer time zones.
IoT Applications: Schedule smart home devices based on sunrise/sunset times using real-time location-based calculations.
Collaboration Tools: Highlight time zone differences in chat interfaces to prevent scheduling confusion.

Time Mcp FAQ

FAQ: Time Mcp’s Real-Time Awareness & Predictive Insights

Does this require internet access?: Nope! All calculations happen locally using system time—great for offline environments.
What programming languages are supported?: Works with any LLM integration framework—outputs are standardized JSON, ready to consume in Python, JavaScript, or custom tools.
How often is it updated?: Monthly updates ensure compliance with daylight saving changes and new time zone regulations globally.

Ready to add temporal intelligence to your projects? Time MCP is your shortcut to precision without the complexity.

Content

🚀 Time MCP Server: Giving LLMs Time Awareness Capabilities

A Model Context Protocol (MCP) server implementation that allows LLMs to have time awareness capabilities.

Tools

current_time: Get current time (UTC and local time)
relative_time: Get relative time
get_timestamp: Get timestamp
days_in_month: Get days in month
convert_time: Convert time between timezones

Installation

# Manually install (Optional)
npm install -g time-mcp



# using npx
npx -y time-mcp

Running on Cursor

Your mcp.json file will look like this:

{
  "mcpServers": {
    "time-mcp": {
      "command": "npx",
      "args": ["-y", "time-mcp"]
    }
  }
}

Running on Windsurf

Add this to your ./codeium/windsurf/model_config.json file:

{
  "mcpServers": {
    "time-mcp": {
      "command": "npx",
      "args": ["-y", "time-mcp"]
    }
  }
}

License

MIT License - see LICENSE file for details.