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    Mcp Server Weather Forecast

    Get weather forecasts using an AI agent and an MCP server.

    1 stars
    Python
    Updated May 9, 2025

    Table of Contents

    • Description
    • Features
    • Dependencies
    • Setup
    • Usage
    • Tool Definition
    • MCP
    • License

    Table of Contents

    • Description
    • Features
    • Dependencies
    • Setup
    • Usage
    • Tool Definition
    • MCP
    • License

    Documentation

    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)

    code
    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")

    code
    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())

    code
    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](https://opensource.org/license/mit)

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