Cover image
Try Now
2025-03-03

Un serveur de protocole de contexte modèle (MCP) qui fournit des données sur les prévisions météorologiques de l'API météorologique du gouvernement du Canada. Retrouvez des prévisions précises de 5 jours pour tout emplacement au Canada par latitude et la longitude. S'intègre facilement à Claude Desktop et à d'autres clients compatibles MCP.

3 years

Works with Finder

1

Github Watches

0

Github Forks

0

Github Stars

Weather MCP Server

A Model Context Protocol (MCP) server that provides weather forecast data from the Government of Canada Weather API.

Features

  • Fetch weather forecasts for any location in Canada by providing latitude and longitude
  • Easily integrates with Claude Desktop or any MCP-compatible client

Weather Forecast Screenshot

Installation

Prerequisites

  • Python 3.13 or higher
  • mise or another Python version manager (optional)

Installation Steps

  1. Clone this repository:

    git clone https://github.com/seanlf/weather-mcp.git
    cd weather-mcp
    
  2. Set up a virtual environment (optional but recommended):

    python -m venv .venv
    source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    
  3. Install the package and dependencies:

    pip install -e .
    

Usage

Running as a standalone server

Run the server directly:

python weather.py

Integration with Claude Desktop

To integrate with Claude Desktop:

  1. Edit your Claude Desktop configuration (typically at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
  "mcpServers": {
    "weather": {
      "command": "/path/to/python", 
      "args": [
        "/path/to/weather-mcp/weather.py"
      ]
    }
  }
}
  1. Restart Claude Desktop to apply changes

Using with other MCP hosts

To use with other MCP hosts, configure the host to execute weather.py using Python 3.13 or higher.

API Reference

get_forecast(latitude: float, longitude: float) -> str

Gets a 5-day weather forecast for the specified location.

Parameters:

  • latitude: Latitude of the location
  • longitude: Longitude of the location

Returns:

  • A formatted string containing the 5-day forecast

Example usage in Claude:

Please get the weather forecast for Ottawa, Canada (45.4215, -75.6972)

Development

Running Tests

pytest

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the terms of the license included in the repository.

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Khalid kalib
  • Write professional emails

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • apappascs
  • Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.

  • ShrimpingIt
  • Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX

  • OffchainLabs
  • Aller la mise en œuvre de la preuve de la participation Ethereum

  • huahuayu
  • Une passerelle API unifiée pour intégrer plusieurs API d'explorateur de blockchain de type étherscan avec la prise en charge du protocole de contexte modèle (MCP) pour les assistants d'IA.

  • deemkeen
  • Contrôlez votre MBOT2 avec un combo d'alimentation: MQTT + MCP + LLM

    Reviews

    1 (1)
    Avatar
    user_OnzJsbuA
    2025-04-16

    Weather-mcp by SeanLF is a fantastic tool for staying updated with the latest weather conditions. Its seamless integration and user-friendly interface make it incredibly easy to fetch detailed weather data. The project is hosted on GitHub, showcasing a well-structured codebase that's a pleasure to use for both developers and casual users. Highly recommended for anyone looking to integrate reliable weather information into their applications!