Weather Forecast Tool
About
Get weather forecasts using an AI agent and an MCP server.
Details
- Author
- hitechdk
- GitHub stars
- 1
- Downloads
- 337
- Categories
- Media, AI
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- Retrieves weather forecast data for a specified latitude and longitude.
- Provides a concise daily summary with weather symbols for night, morning, afternoon, and evening.
- Includes minimum and maximum temperatures for the day.
- Returns forecasts in local time.
- Translates weather symbol codes into human‑readable descriptions.
- Uses asynchronous HTTP requests.
Install dependencies (Python 3.13+, httpx, mcp.server.fastmcp), obtain latitude and longitude for the desired location, import the modules and initialize a FastMCP server named "weather". Then call the get_weather(latitude, longitude) tool asynchronously.
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:
(float): The latitude of the location.longitude
(float): The longitude of the location.str`: A formatted string containing the daily weather forecast.
Returns:
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
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