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Weather Forecast Tool

Weather Forecast Tool

Local
github.com/hitechdkMedia & Design1Updated 82w ago

About Weather Forecast Tool

Weather Forecast Tool is a Python MCP server for retrieving and summarizing forecasts from the MET Norway API. It accepts latitude and longitude and reports daily conditions in local time, including common weather symbols and temperature ranges.

Key features

  1. 01Fetch forecasts by latitude and longitude
  2. 02Summarize daily weather conditions
  3. 03Show common symbols by day period
  4. 04Report daily minimum and maximum temperatures
  5. 05Return forecasts in local time

Use cases

  1. 01Check a location's daily forecast
  2. 02Review expected weather by day period
  3. 03Compare daily minimum and maximum temperatures
  4. 04Retrieve a forecast using geographic coordinates

MCP support

The project uses FastMCP to register its `get_weather` function as a tool for MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Weather Forecast Tool

Description

This Python code provides a tool to fetch and summarize weather forecasts for a given location using the MET Norway API. It leverages the FastMCP framework for tool registration and uses httpx for asynchronous HTTP requests.

Features

  • Weather Forecast: The get_weather function retrieves weather forecast data for a specified latitude and longitude.

  • Daily Summary: The summarize_daily_timeseries_most_occurrences function processes the raw forecast data to provide a concise daily summary, including:

    • Most frequent weather symbols for night, morning, afternoon, and evening.
    • Minimum and maximum temperatures for the day.
    • The forecast will be returned in local time.
  • HTTP Requests: The make_net_request function handles asynchronous HTTP requests to the MET Norway API.

  • Weather Symbol Mapping: The map_weather_symbol function translates weather symbol codes from the API into human-readable descriptions.

Dependencies

  • Python 3.13+
  • collections
  • datetime
  • typing
  • asyncio
  • json
  • httpx
  • mcp.server.fastmcp

Setup

  1. Install Dependencies:

    Install MCP and other dependencies as needed (see MCP documentation)

  2. Obtain Coordinates: You'll need the latitude and longitude for the location you want the weather forecast for.

Usage

  1. Import: Import the necessary modules and initialize the FastMCP server.

    from collections import Counter
    from datetime import datetime, timezone, timedelta
    from mcp.server.fastmcp import FastMCP
    from typing import Any
    import asyncio
    import json
    import httpx
    
    mcp = FastMCP("weather")
    
  2. Use the get_weather tool:

    async def main():
        weather_data = await get_weather(55.6761, 12.5683) # Example: Copenhagen, Denmark
        print(weather_data)
    
    if __name__ == "__main__":
        asyncio.run(main())
    

    Replace 55.6761 and 12.5683 with the desired latitude and longitude.

Tool Definition

* get_weather(latitude: float, longitude: float) -> str * Retrieves and formats the weather forecast for a given location. * Arguments: * latitude (float): The latitude of the location. * longitude (float): The longitude of the location. * Returns: * str: A formatted string containing the daily weather forecast.

MCP

The code uses the FastMCP framework. Please refer to the FastMCP documentation for details on how to set up and run the server.

License

MIT License

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