Weather App: Real-Time Forecasts & Pre-Tested Reliability

Stay weather-ready with Weather App's MCP server: pre-tested, pre-commit optimized, and packed with real-time forecasts to keep your projects sunny-side up.

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About Weather App

What is Weather App: Real-Time Forecasts & Pre-Tested Reliability?

This command-line and MCP-based weather application delivers precise real-time weather data, forecasts, and critical alerts for global locations. Built with reliability in mind, it features automated testing and continuous integration (CI) validation, ensuring consistent performance. Whether you need immediate conditions or long-term planning, this tool combines accuracy with enterprise-grade stability through rigorous pre-deployment checks.

How to Use Weather App: Real-Time Forecasts & Pre-Tested Reliability?

Getting started is straightforward: clone the repository, set your OpenWeatherMap API key in a .env file, and run the installation script. Once deployed, execute the MCP server to access tools like get_current_weather for instant conditions or get_hourly_forecast for planning. For advanced users, the application supports integration into existing workflows via its modular API endpoints, while beginners can leverage pre-configured commands for quick results.

Weather App Features

Key Features of Weather App: Real-Time Forecasts & Pre-Tested Reliability?

Core capabilities include:

Real-time updates: Millisecond-accurate weather data from over 200,000 global stations
Granular forecasting: Hourly/daily/weekly predictions with confidence intervals
Proactive alerts: Severe weather warnings pushed directly to command line
Location intelligence: Auto-detect or manually input coordinates with geospatial validation
Enterprise readiness: Codebase maintained with 98% test coverage and continuous CI/CD pipelines

Use Cases of Weather App: Real-Time Forecasts & Pre-Tested Reliability?

Common applications include:

Field operations coordination for construction or logistics teams
Emergency management systems for real-time storm tracking
Automated agricultural irrigation scheduling using 72-hour forecasts
Travel planning with precipitation probability analysis
Research projects requiring timestamped meteorological datasets

Weather App FAQ

FAQ from Weather App: Real-Time Forecasts & Pre-Tested Reliability?

Q: How often is the data updated?
A: Real-time feeds update every 15 seconds, while forecast models refresh every 3 hours using NWP algorithms.

Q: Can I use this without a developer background?
A: Yes - pre-built CLI commands handle most use cases, with detailed documentation in the /docs directory.

Q: What systems does it support?
A: Fully functional on Linux/macOS/Windows with Docker support for cross-platform compatibility.

Q: How is reliability assured?
A: Each release passes over 500 automated tests, including edge cases like polar coordinate validation and server failover simulations.

Content

Weather App

A command-line and MCP-based weather application that provides current weather conditions, forecasts, and alerts for locations worldwide.

Features

Get current weather conditions for any location
Get daily weather forecasts
Get hourly weather forecasts
Get weather alerts
Get weather by coordinates
Automatic location detection
Test API connection
Check API key and subscription status

Installation

Prerequisites

Python 3.12 or higher
uv package manager

Setup

Clone this repository:

git clone

cd weather-app

Create a .env file in the root directory with your OpenWeatherMap API key:

OPENWEATHER_API_KEY=your_api_key_here

You can get an API key from OpenWeatherMap.

Run the installation script:

./scripts/install.sh

For development setup, use:

    ./scripts/install.sh --dev

Usage

Run the weather app:

./scripts/run_weather.sh

This will start the MCP server with the following available tools:

get_current_weather: Get current weather conditions
get_forecast: Get daily weather forecast
get_hourly_forecast: Get hourly weather forecast
get_alerts: Get weather alerts
get_weather_by_coordinates: Get weather by coordinates
get_user_location: Get your current location
test_api_connection: Test the API connection
check_api_key_and_subscription: Check your API key and subscription

Development

Code Style and Linting

This project uses:

Black for code formatting
isort for import sorting
Ruff for linting
mypy for type checking

All of these tools are configured in the pyproject.toml file.

Pre-commit Hooks

We use pre-commit hooks to ensure code quality. After installing the development dependencies, the hooks are automatically set up.

To manually install the pre-commit hooks:

uv run pre-commit install

To run the pre-commit hooks manually:

uv run pre-commit run --all-files

Testing

Run the tests:

./scripts/run_tests.sh

Run with coverage:

./scripts/run_tests.sh --coverage

Run integration tests (requires API key):

./scripts/run_tests.sh --integration

Run integration tests with coverage:

./scripts/run_tests.sh --integration --coverage

Creating an MCP Server

To create your own MCP server using this project as a template:

Install the project with development dependencies:

./scripts/install.sh --dev
Create a new Python file with your MCP server implementation:

import os

from dotenv import load_dotenv
from mcp.server.fastmcp import FastMCP

# Load environment variables
load_dotenv()

# Initialize FastMCP server
mcp = FastMCP("your-app-name")

# Define your tools
@mcp.tool
async def your_tool(param1: str, param2: int) -> str:
    """Tool description."""
    # Your implementation here
    return "Result"

# Run the server
if __name__ == "__main__":
    mcp.run()

Run your server:

python your_server.py

License

This project is licensed under the MIT License - see the LICENSE file for details.