MCP Weather Server

🌤️ Enhanced MCP Weather Server v2.0

A comprehensive Model Context Protocol (MCP) server that provides extensive weather data, forecasts, air quality, UV index, and much more! Get detailed weather information directly in your VS Code chat with 9 powerful tools.

🚀 What Makes This Special?

This isn't just another weather tool - it's a comprehensive weather intelligence system that provides:

🎯 9 Powerful Weather Tools:

1. 🌡️ Enhanced Current Weather - Detailed conditions with emojis and comprehensive data
2. 📅 5-Day Weather Forecast - Complete weather predictions with trends
3. 🌬️ Air Quality Index - Real-time pollution levels and health warnings
4. ☀️ UV Index & Sun Safety - Solar radiation levels with safety recommendations
5. 🌍 Multi-City Comparison - Compare weather across multiple locations
6. 🚨 Weather Alerts - Severe weather warnings and emergency notifications
7. 🌅 Astronomy Data - Sunrise, sunset, day length, and astronomical information
8. 📊 Weather Statistics - Comprehensive trends, averages, and climate insights
9. 🗺️ Weather Maps - Access to radar, satellite, and weather map data

💡 Why Use This Tool?

For Developers:

• 🏗️ Building weather apps? Get comprehensive data in one place
• 🌐 Need location-based features? Access weather, air quality, and astronomy data
• 📱 Creating travel apps? Compare weather across multiple destinations
• 🎯 Building outdoor apps? Get UV index, air quality, and safety information

For Data Analysis:

• 📊 Weather trends and patterns for business intelligence
• 🌡️ Climate data analysis for research projects
• 📈 Multi-city comparisons for location planning
• 🗺️ Geographic weather mapping for visualization projects

For Personal Use:

• ✈️ Travel planning with detailed forecasts and air quality
• 🏃 Outdoor activities with UV index and weather safety
• 🌍 Multi-location monitoring for family/business across cities
• 📱 Comprehensive weather briefings beyond basic conditions

For Content Creation:

• 📝 Weather-aware content with detailed environmental data
• 🎥 Location scouting with comprehensive weather analysis
• 📊 Data visualization with rich weather statistics
• 🌡️ Climate storytelling with historical and trend data

🚨 Quick Note: If the install buttons below open in your browser instead of VS Code, use Method 1 below for manual configuration - it's more reliable!

🚀 Easy Installation Methods

🎯 Method 1: NPM Package (Recommended)

Install directly from npm with automated setup:

npm install -g mohaimen-weather-mcp

Then in your settings just add

"<name of your server>": 
{
   "command": "npx",
   "args": [
      "mohaimen-weather-mcp"
   ],
   "env": {
      "OPENWEATHER_API_KEY": "<YOUR_KEY>"
   }
}

This will:

• Install the package globally
• Run an interactive setup that asks for your API key
• Automatically configure VS Code settings with correct paths
• No manual configuration needed!

🎯 Method 2: Manual Configuration (Most Reliable)

1. Clone and build:

   git clone https://github.com/mohaimenhasan/mcp-weather-server.git
   cd mcp-weather-server
   npm run setup
   

2. Get your API key:

   • Visit OpenWeatherMap (free account)
   • Copy your API key

3. Add to VS Code:

   • Open VS Code
   • Press Ctrl+Shift+P (or Cmd+Shift+P on Mac)
   • Type "Preferences: Open User Settings (JSON)"
   • Add this to your settings:

   {
     "mcpServers": {
       "weather": {
         "command": "node",
         "args": ["/absolute/path/to/mcp-weather-server/dist/index.js"],
         "env": {
           "OPENWEATHER_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

✨ All Features & Examples

�️ Enhanced Current Weather

🌤️ Weather in London, GB

🌡️ Temperature: ☀️ 22°C (feels like ☀️ 24°C)
📊 Condition: clear sky
💧 Humidity: 65%
🌬️ Wind: 3.2 m/s (120°)
👁️ Visibility: 10.0 km
🌡️ Pressure: 1013 hPa
📈 Min/Max: ☀️ 18°C / ☀️ 26°C
☁️ Cloudiness: 10%
🌅 Sunrise: 6:42:15 AM
🌇 Sunset: 8:15:30 PM
📍 Coordinates: 51.5074, -0.1278

📅 5-Day Weather Forecast

📅 5-Day Weather Forecast for Paris

☀️ Day 1 - 12/27/2024
🌡️ Temp: ☀️ 24°C (☀️ 20°C - ☀️ 28°C)
📊 clear sky
💧 Humidity: 68%
🌬️ Wind: 2.1 m/s
☁️ Clouds: 15%

🌬️ Air Quality Index

🌬️ Air Quality in Tokyo

📊 Overall AQI: 2/5 - 🟡 Fair - Moderate air quality

Pollutant Levels (μg/m³):
� CO: 233.75
🚗 NO: 0.01
🚗 NO₂: 8.13
🌫️ O₃: 78.32
💨 SO₂: 1.64
🏭 PM2.5: 5.15
🏭 PM10: 8.04
💨 NH₃: 0.63

☀️ UV Index & Sun Safety

☀️ UV Index for Sydney

📊 Current UV Index: 7.2
🟠 High - Protection essential

Sun Safety Tips:
🧴 Apply sunscreen (SPF 30+)
👕 Wear protective clothing
🕶️ Wear sunglasses and hat

🌍 Multi-City Weather Comparison

🌍 Weather Comparison

☀️ London, GB
🌡️ ☀️ 22°C (feels like ☀️ 24°C)
📊 clear sky
💧 65% humidity
🌬️ 3.2 m/s wind

🌧️ Seattle, US
🌡️ 🌡️ 16°C (feels like 🌡️ 14°C)
📊 moderate rain
💧 85% humidity
🌬️ 5.1 m/s wind

🚨 Weather Alerts

🚨 Weather Alerts for Miami

⚠️ Alert 1: Hurricane Warning
📅 Start: 12/27/2024, 2:00:00 PM
📅 End: 12/28/2024, 8:00:00 AM
📝 Hurricane conditions expected...
🏢 Source: National Weather Service

🌅 Astronomy Data

🌅 Astronomy Data for Tokyo

☀️ Currently: Daytime

🌅 Sunrise: 6:47:12 AM
🌇 Sunset: 4:32:45 PM
⏰ Day Length: 9h 45m

📍 Location: 35.6762°, 139.6503°
🌍 Timezone: UTC+9

⏳ Next sunset: in 3h 15m

📊 Weather Statistics & Trends

📊 Weather Statistics for Berlin

Current Conditions:
🌡️ Temperature: 🌡️ 18°C
💧 Humidity: 72%
🌡️ Pressure: 1015 hPa
👁️ Visibility: 8.5 km

24-Hour Trends:
🌡️ Temperature Range: 🌡️ 15°C to ☀️ 21°C
📊 Average Temperature: 🌡️ 18°C
📈 Temperature Trend: Rising 📈

💧 Average Humidity: 68.2%
🌡️ Average Pressure: 1014.8 hPa
📈 Pressure Trend: Rising 📈

🗺️ Weather Maps

🗺️ Weather Maps for New York

📍 Coordinates: 40.7128, -74.0060

Available Map Layers:
�️ Precipitation: Rainfall and snow patterns
☁️ Clouds: Cloud coverage and density
🌡️ Temperature: Temperature distribution
🌬️ Wind Speed: Wind patterns and speeds
🌡️ Pressure: Atmospheric pressure systems

Center Map On: Latitude 40.7128, Longitude -74.0060
Recommended Zoom: 10 for city view

🎯 Usage Examples

Once installed, you can ask VS Code Copilot questions like:

🌡️ Basic Weather Queries:

• "What's the weather like in London?"
• "Get me comprehensive weather data for Tokyo"
• "Show me detailed current conditions in New York"

📅 Forecast Queries:

• "What's the 5-day forecast for Paris?"
• "Give me the weather forecast for Seattle this week"
• "Show me a 3-day forecast for Berlin"

🌬️ Air Quality & Health:

• "What's the air quality in Beijing?"
• "Check pollution levels in Delhi"
• "Is the air quality safe in Los Angeles?"

☀️ Sun & UV Safety:

• "What's the UV index in Sydney?"
• "Do I need sunscreen in Miami today?"
• "Check sun safety for outdoor activities in Phoenix"

🌍 Multi-City Comparisons:

• "Compare weather between London, Paris, and Berlin"
• "Which city has better weather: Miami or San Diego?"
• "Show me weather comparison for Tokyo, Seoul, and Bangkok"

🚨 Weather Alerts:

• "Are there any weather warnings for Florida?"
• "Check for severe weather alerts in Texas"
• "Show me storm warnings for the East Coast"

🌅 Astronomy & Timing:

• "When does the sun rise in Moscow?"
• "What time is sunset in Hawaii?"
• "Show me astronomical data for Stockholm"

📊 Weather Analysis:

• "Give me weather statistics for Chicago"
• "Show weather trends for the past 24 hours in Denver"
• "Analyze weather patterns in San Francisco"

🗺️ Weather Maps:

• "How can I access weather radar for Dallas?"
• "Show me weather map information for Portland"
• "Get precipitation map data for the Pacific Northwest"

💡 Advanced Usage Examples:

Travel Planning: "I'm planning a trip to Rome next week. Show me the forecast, air quality, and UV index."

Outdoor Event Planning: "Compare weather conditions between Austin, Nashville, and Denver for an outdoor concert."

Health & Safety: "Check air quality and UV index for Los Angeles - I have respiratory issues and need safe outdoor exercise conditions."

Agricultural/Gardening: "Show me detailed weather statistics and forecast for Portland - I need to plan my garden watering schedule."

Photography/Filming: "Give me sunrise/sunset times and weather conditions for Yosemite for a photo shoot."

🛠️ Development

Prerequisites

• Node.js (>= 18.x)
• npm (>= 9.x)
• OpenWeatherMap API key

Local Development

# Install dependencies
npm install

# Build the project
npm run build

# Start in development mode (with auto-rebuild)
npm run dev

# Test the server
npm start

# Generate install URLs for your own use
npm run install-urls

# Get manual configuration for VS Code settings
npm run config

Project Structure

mcp-weather-server/
├── .vscode/
│   ├── settings.json           # Pre-configured MCP settings (user-specific)
│   ├── settings.template.json  # Template for settings.json
│   ├── tasks.json              # VS Code tasks for easy setup
│   ├── inputs.json             # Input prompts for API key
│   ├── launch.json             # Debug configuration
│   └── extensions.json         # Recommended extensions
├── dist/                       # Compiled JavaScript (generated)
├── index.ts                    # Main server code
├── mcp-config.json            # MCP configuration template
├── install.html               # Beautiful one-click install page
├── generate-install-urls.js   # Script to generate install URLs
├── setup.bat                  # Windows setup script
├── setup.sh                   # Unix setup script
├── .env                       # Environment variables (user-specific)
├── .gitignore                 # Git ignore rules
└── package.json

🔧 Configuration

The server uses environment variables for configuration:

• OPENWEATHER_API_KEY or API_KEY: Your OpenWeatherMap API key (required)

📡 Complete API Reference

Available Tools

🌡️ get-weather

Enhanced current weather with comprehensive data

Parameters:

• city (string): Name of the city to get weather for

Returns:

• Detailed temperature with emoji indicators
• Weather conditions with icons
• Humidity, wind speed, visibility
• Pressure, cloudiness, min/max temps
• Sunrise/sunset times
• Geographic coordinates

📅 get-forecast

5-day weather forecast with detailed predictions

Parameters:

• city (string): Name of the city to get forecast for
• days (number, optional): Number of days to show (1-5, default: 5)

Returns:

• Daily temperature ranges with emojis
• Weather conditions for each day
• Humidity, wind, and cloud coverage
• Organized by day with clear formatting

🌬️ get-air-quality

Air quality index and pollution data

Parameters:

• city (string): Name of the city to get air quality for

Returns:

• Overall Air Quality Index (1-5 scale)
• Detailed pollutant levels (CO, NO, NO₂, O₃, SO₂, PM2.5, PM10, NH₃)
• Health recommendations based on AQI
• Color-coded quality indicators

☀️ get-uv-index

UV index and sun safety information

Parameters:

• city (string): Name of the city to get UV index for

Returns:

• Current UV index value
• Safety level description (Low/Moderate/High/Very High/Extreme)
• Specific sun protection recommendations
• Time-based safety advice

🌍 compare-weather

Compare weather between multiple cities

Parameters:

• cities (array of strings): Array of city names to compare (2-5 cities)

Returns:

• Side-by-side weather comparison
• Temperature, conditions, humidity for each city
• Weather emojis for quick visual reference
• Organized display for easy comparison

🚨 get-weather-alerts

Severe weather alerts and warnings

Parameters:

• city (string): Name of the city to get weather alerts for

Returns:

• Active weather warnings and alerts
• Alert severity and timing
• Detailed descriptions of weather threats
• Official source attribution

🌅 get-astronomy

Detailed sunrise, sunset, and astronomical data

Parameters:

• city (string): Name of the city to get astronomy data for

Returns:

• Sunrise and sunset times
• Day length calculation
• Current day/night status
• Time until next sunrise/sunset
• Geographic coordinates and timezone
• Moon phase information (with additional API)

📊 get-weather-stats

Comprehensive weather statistics and trends

Parameters:

• city (string): Name of the city to get weather statistics for

Returns:

• Current weather conditions summary
• 24-hour temperature trends and ranges
• Pressure and humidity patterns
• Weather trend indicators (rising/falling)
• Statistical analysis of recent conditions

🗺️ get-weather-maps

Weather map information and access URLs

Parameters:

• city (string): Name of the city to get map information for

Returns:

• Geographic coordinates for mapping
• Available weather layer types
• Direct URLs for weather map tiles
• Integration instructions for mapping libraries
• Recommended zoom levels and center points

API Response Format

All tools return responses in this format:

{
  "content": [{
    "type": "text",
    "text": "Formatted weather information with emojis and detailed data"
  }]
}

Error Handling

The server handles various error conditions:

• 404 Errors: City not found - suggests checking spelling
• 401 Errors: Invalid API key - prompts key configuration check
• Network Errors: Timeout or connection issues - suggests retrying
• API Limitations: Some features require premium OpenWeatherMap subscription

🆘 Troubleshooting

Common Issues

1. "Undefined input variable 'openweatherApiKey'" error:

   • This happens when VS Code can't resolve the input variable
   • Solution: Copy .vscode/settings.template.json to .vscode/settings.json and replace YOUR_API_KEY_HERE with your actual API key
   • Or create a .env file with OPENWEATHER_API_KEY=your_api_key_here

2. "API key is required" error:

   • Make sure you've set your API key in the environment variables or .env file
   • Check that your API key is valid and active at OpenWeatherMap

3. "Module not found" error:

   • Run npm run build to compile TypeScript
   • Ensure all dependencies are installed with npm install

4. MCP server not appearing in VS Code:

   • Check that the path in your MCP configuration is correct
   • Ensure the dist/index.js file exists after building
   • Restart VS Code after adding the server configuration

5. One-click install buttons not working:

   • If buttons open in browser instead of VS Code:
     • The MCP extension might not be installed or URL handler not registered
     • Use Method 1 (Manual Configuration) instead - it's more reliable
     • Run npm run config to get the exact configuration to copy
   • Make sure you have VS Code or VS Code Insiders installed
   • Ensure your project is built before attempting installation

Getting Help

• 📧 Contact: @mohaimenhasan
• 🐛 Issues: GitHub Issues
• 📖 MCP Documentation: Model Context Protocol

🎉 What's Next?

After installation, you can:

• Ask weather questions directly in VS Code chat
• Integrate weather data into your coding workflow
• Build weather-aware applications with real-time data
• Explore other MCP servers for enhanced functionality

📄 License

MIT License - feel free to use this in your own projects!

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