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PyWeatherMCP

by Zerosks471

PyWeatherMCP

A Model Context Protocol (MCP) server that provides weather information using the National Weather Service API. This server offers weather alerts, forecasts, and location management features for MCP-compatible clients.

Features

  • šŸŒ¦ļø Weather Alerts: Get active weather alerts for any US state

  • šŸ“ Weather Forecasts: Get 5-day weather forecasts for any US location

  • ⭐ Favorite Locations: Save and manage your favorite weather locations

  • šŸ“Š Search History: Track your weather queries

  • šŸ”„ Memory Persistence: Automatically saves your preferences and history

Prerequisites

  • Python 3.14 or higher

  • Internet connection (for API calls to National Weather Service)

Installation

Using uv (Recommended)

  1. Clone the repository:

    git clone https://github.com/yourusername/pyweathermcp.git cd pyweathermcp
  2. Install dependencies using uv:

    uv sync

Using pip

  1. Clone the repository:

    git clone https://github.com/yourusername/pyweathermcp.git cd pyweathermcp
  2. Create a virtual environment:

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

    pip install -e .

Usage

Running the MCP Server

To run the weather MCP server:

python weather.py

The server will start and listen for MCP protocol messages via stdio.

Available Tools

1. Get Weather Alerts

Get active weather alerts for a US state.

Parameters:

  • state (string): Two-letter US state code (e.g., "CA", "NY", "TX")

Example:

get_alerts("CA")

2. Get Weather Forecast

Get a 5-day weather forecast for a specific location.

Parameters:

  • latitude (float): Latitude coordinate

  • longitude (float): Longitude coordinate

  • location_name (string, optional): Human-readable name for the location

Example:

get_forecast(37.7749, -122.4194, "San Francisco, CA")

3. Save Favorite Location

Save a location to your favorites for quick access.

Parameters:

  • name (string): Name of the location

  • latitude (float): Latitude coordinate

  • longitude (float): Longitude coordinate

Example:

save_favorite("Home", 40.7128, -74.0060)

4. Get Favorite Locations

Retrieve all saved favorite locations.

Example:

get_favorites()

5. Get Search History

View your recent weather searches.

Parameters:

  • limit (int, optional): Number of recent searches to show (default: 10)

Example:

get_history(5)

6. Clear Search History

Clear all search history while keeping favorites.

Example:

clear_history()

Available Resources

Server Information

Get information about the weather server and its capabilities.

Resource URI: weather://info

Usage Statistics

Get usage statistics including search count and favorite locations.

Resource URI: weather://stats

Available Prompts

Quick Weather Check

A template prompt for quick weather checks using your favorite locations.

Prompt: quick_weather_prompt

Data Storage

The server automatically creates and maintains a weather_memory.json file to store:

  • Search history

  • Favorite locations

  • Usage statistics

This file is created automatically on first use and is excluded from version control.

API Information

This server uses the National Weather Service API (https://api.weather.gov), which:

  • Provides free weather data for the United States

  • Requires no API key or authentication

  • Has rate limits (please be respectful)

  • Covers all US states and territories

Error Handling

The server includes robust error handling:

  • Network timeouts (30 seconds)

  • Invalid coordinates or state codes

  • API service unavailability

  • Graceful fallbacks for missing data

Development

Project Structure

pyweathermcp/ ā”œā”€ā”€ weather.py # Main MCP server implementation ā”œā”€ā”€ main.py # Simple entry point ā”œā”€ā”€ test_imports.py # Import testing utility ā”œā”€ā”€ pyproject.toml # Project configuration and dependencies ā”œā”€ā”€ weather_memory.json # User data storage (auto-generated) ā”œā”€ā”€ .gitignore # Git ignore rules └── README.md # This file

Dependencies

  • httpx>=0.28.1: Modern HTTP client for API requests

  • mcp>=1.18.0: Model Context Protocol server framework

Testing Imports

To verify all dependencies are properly installed:

python test_imports.py

Contributing

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add some amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request

License

This project is open source and available under the MIT License.

Support

If you encounter any issues or have questions:

  1. Check the Issues page

  2. Create a new issue with detailed information

  3. Include error messages and steps to reproduce

Changelog

v0.1.0

  • Initial release

  • Weather alerts and forecasts

  • Favorite locations management

  • Search history tracking

  • Memory persistence


Note: This server is designed to work with MCP-compatible clients. Make sure your client supports the MCP protocol for the best experience.

-
security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Provides weather information for US locations using the National Weather Service API. Offers weather alerts, 5-day forecasts, and location management with favorites and search history tracking.

  1. Features
    1. Prerequisites
      1. Installation
        1. Using uv (Recommended)
        2. Using pip
      2. Usage
        1. Running the MCP Server
        2. Available Tools
        3. Available Resources
        4. Available Prompts
      3. Data Storage
        1. API Information
          1. Error Handling
            1. Development
              1. Project Structure
              2. Dependencies
              3. Testing Imports
            2. Contributing
              1. License
                1. Support
                  1. Changelog
                    1. v0.1.0

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