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Weather MCP

by kaisumi
GitHub
Python
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Weather MCP

Weather Forecast Application Using Model Context Protocol (MCP)

overview

This application is an MCP server that uses the Open-Meteo API to retrieve and display weather forecast data. Through the MCP protocol, weather information can be accessed from LLM applications.

function

  • Displaying current weather information
  • View 3-day weather forecast
  • Get location-based weather information
  • Access via MCP protocol

set up

  1. Install dependencies:
pip install -e .
  1. Set environment variables: Create a .env file and set the required environment variables.
MCP_API_KEY=your_api_key_here MCP_BASE_URL=http://localhost:8000
  1. Start the MCP server:
python -m app.server
  1. Run the client:
python -m app.client

MCP Tools

get_weather

Get current weather information and 3-day forecast for a given city.

Parameters:

  • city : The name of the city for which you want to get weather information (e.g. Tokyo, New York)

Example response:

{ "location": { "name": "東京", "country": "日本", "latitude": 35.6895, "longitude": 139.6917, "timezone": "Asia/Tokyo" }, "current": { "temperature": 22.5, "feels_like": 23.1, "humidity": 65, "wind_speed": 3.2, "wind_direction": 180, "precipitation": 0, "condition": "晴れ", "weather_code": 1 }, "forecast": [ { "date": "2023-04-10", "max_temp": 24.5, "min_temp": 15.2, "precipitation": 0, "condition": "晴れ", "sunrise": "05:30", "sunset": "18:15" }, ... ] }

license

MIT

This server cannot be installed

-
security - not tested
-
license - not tested
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that provides current weather information and 3-day forecasts for specified cities using the Open-Meteo API.

  1. overview
    1. function
      1. set up
        1. MCP Tools
          1. get_weather
        2. license

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