# Weather MCP Server
A free, production-ready Model Context Protocol (MCP) server for accessing weather data using the OpenWeatherMap API.
## 🌤️ Overview
This MCP server provides comprehensive weather information through a standardized interface, enabling AI assistants to access real-time weather data, forecasts, air quality information, and more.
## ✨ Features
### 🛠️ Tools (7 Available)
1. **get_current_weather** - Get current weather for any location
2. **get_forecast** - Get 5-day weather forecast with 3-hour intervals
3. **search_location** - Search for locations and get coordinates
4. **get_weather_by_coordinates** - Get weather by latitude/longitude
5. **get_air_quality** - Get air quality index and pollutant data
6. **compare_weather** - Compare weather across multiple cities
7. **get_weather_alerts** - Get severe weather alerts (note: requires paid tier)
### 📚 Resources (4 Available)
- `weather://current` - Current weather data
- `weather://forecast` - Weather forecasts
- `weather://alerts` - Weather alerts and warnings
- `weather://history` - Historical weather data
## 🚀 Quick Start
### Prerequisites
1. **Free API Key** from OpenWeatherMap:
- Sign up at https://openweathermap.org/api
- Go to API keys section
- Copy your API key (free tier includes 1000 calls/day)
2. **Python 3.10+**
### Installation
```bash
cd weather-mcp-server
pip install -e .
```
### Configuration
```bash
# Set your API key
export OPENWEATHER_API_KEY="your_api_key_here"
# Or create a .env file
echo "OPENWEATHER_API_KEY=your_api_key_here" > .env
```
### Run the Server
```bash
python server.py
```
## 💡 Usage Examples
### With Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"weather": {
"command": "python",
"args": ["/full/path/to/weather-mcp-server/server.py"],
"env": {
"OPENWEATHER_API_KEY": "your_api_key_here"
}
}
}
}
```
Then ask Claude:
- "What's the weather in Paris?"
- "Compare weather between New York, London, and Tokyo"
- "Give me a 5-day forecast for Seattle"
- "What's the air quality in Beijing?"
### With Cursor IDE
Create `.cursor/config.json`:
```json
{
"mcp": {
"servers": {
"weather": {
"command": "python",
"args": ["server.py"],
"cwd": "/full/path/to/weather-mcp-server",
"env": {
"OPENWEATHER_API_KEY": "your_api_key_here"
}
}
}
}
}
```
### Programmatic Usage
```python
from mcp.client import Client
import asyncio
async def main():
async with Client() as client:
await client.connect_stdio(
command="python",
args=["server.py"],
env={"OPENWEATHER_API_KEY": "your_key"}
)
# Get current weather
result = await client.call_tool(
"get_current_weather",
{"location": "London,UK", "units": "metric"}
)
print(result)
# Get forecast
forecast = await client.call_tool(
"get_forecast",
{"location": "New York,NY,US", "units": "imperial", "days": 3}
)
print(forecast)
asyncio.run(main())
```
## 🔧 Tool Details
### get_current_weather
Get current weather conditions for a location.
**Parameters:**
- `location` (required): City name, e.g., "London,UK", "New York,NY,US"
- `units` (optional): "metric" (Celsius), "imperial" (Fahrenheit), or "standard" (Kelvin)
**Returns:**
```json
{
"location": {
"name": "London",
"country": "GB",
"coordinates": {"latitude": 51.51, "longitude": -0.13}
},
"current": {
"temperature": 15.5,
"feels_like": 14.2,
"humidity": 72,
"description": "partly cloudy",
"wind": {"speed": 5.2, "direction": 230},
"pressure": 1013,
"visibility": 10000
},
"sunrise": "2024-10-16T06:42:00",
"sunset": "2024-10-16T18:15:00"
}
```
### get_forecast
Get 5-day weather forecast with 3-hour intervals.
**Parameters:**
- `location` (required): City name
- `units` (optional): Temperature units
- `days` (optional): Number of days (1-5, default 5)
**Returns:**
```json
{
"location": {"name": "Paris", "country": "FR"},
"forecast": [
{
"datetime": "2024-10-16T12:00:00",
"temperature": 18.5,
"description": "light rain",
"humidity": 65,
"pop": 0.3
}
]
}
```
### search_location
Search for a location and get its coordinates.
**Parameters:**
- `query` (required): Location name to search
- `limit` (optional): Max results (default 5)
**Returns:**
```json
{
"query": "Springfield",
"results": [
{
"name": "Springfield",
"country": "US",
"state": "Illinois",
"coordinates": {"latitude": 39.78, "longitude": -89.65}
}
]
}
```
### get_weather_by_coordinates
Get weather for specific coordinates.
**Parameters:**
- `latitude` (required): Latitude
- `longitude` (required): Longitude
- `units` (optional): Temperature units
### get_air_quality
Get air quality index and pollutant levels.
**Parameters:**
- `latitude` (required): Latitude
- `longitude` (required): Longitude
**Returns:**
```json
{
"air_quality_index": 2,
"aqi_level": "Fair",
"components": {
"co": 201.94,
"no2": 13.56,
"o3": 68.66,
"pm2_5": 5.28,
"pm10": 7.32
}
}
```
### compare_weather
Compare current weather across multiple cities.
**Parameters:**
- `locations` (required): Array of city names (2-5 cities)
- `units` (optional): Temperature units
**Returns:**
Comparison of weather data for all locations.
## 📊 API Limits
### Free Tier (OpenWeatherMap)
- **Calls per day:** 1,000
- **Calls per minute:** 60
- **Features included:**
- Current weather
- 5-day forecast
- Geocoding
- Air pollution data
### Caching
The server automatically caches responses for 10 minutes to reduce API calls.
## 🌍 Supported Units
- **metric**: Temperature in Celsius, wind speed in m/s
- **imperial**: Temperature in Fahrenheit, wind speed in mph
- **standard**: Temperature in Kelvin, wind speed in m/s
## 🔐 Security
- API key stored in environment variable (never in code)
- HTTPS-only communication with OpenWeatherMap
- Input validation for all parameters
- Rate limiting awareness
## 🐛 Troubleshooting
### "API key not configured" error
```bash
# Make sure you set the environment variable
export OPENWEATHER_API_KEY="your_key"
# Or check if it's set
echo $OPENWEATHER_API_KEY
```
### "401 Unauthorized" error
- Verify your API key is correct
- Check if API key is activated (can take a few hours after signup)
- Ensure you're using the free tier correctly
### Rate limit errors
The free tier allows 60 calls/minute and 1000/day. The server caches responses for 10 minutes to help avoid limits.
## 📚 Resources
- **OpenWeatherMap API Docs:** https://openweathermap.org/api
- **Free API Signup:** https://openweathermap.org/price
- **MCP Specification:** https://modelcontextprotocol.io
- **OpenWeatherMap Weather Codes:** https://openweathermap.org/weather-conditions
## 🧪 Testing
```bash
# Run tests
pytest tests/ -v
# Test specific tool
python -c "
import asyncio
from server import WeatherMCPServer
async def test():
server = WeatherMCPServer()
result = await server._get_current_weather({
'location': 'London,UK',
'units': 'metric'
})
print(result)
asyncio.run(test())
"
```
## 🎯 Example Queries
Ask your AI assistant:
1. **Current Weather:**
- "What's the weather like in Tokyo?"
- "Is it raining in Seattle right now?"
- "What's the temperature in Miami?"
2. **Forecasts:**
- "Give me a 3-day forecast for Paris"
- "Will it rain in London this week?"
- "What's the weather going to be like tomorrow in NYC?"
3. **Comparisons:**
- "Compare the weather in Sydney, London, and New York"
- "Which is warmer: Dubai or Bangkok?"
4. **Air Quality:**
- "What's the air quality in Delhi?"
- "Is the air quality good in Los Angeles?"
5. **Location Search:**
- "Find all cities named Portland"
- "Search for Springfield locations"
## 💻 Development
### Project Structure
```
weather-mcp-server/
├── server.py # Main server implementation
├── README.md # This file
├── requirements.txt # Python dependencies
├── pyproject.toml # Package configuration
└── tests/ # Test suite
└── test_server.py
```
### Adding Custom Tools
```python
# In server.py, add to list_tools():
Tool(
name="your_custom_tool",
description="Description",
inputSchema={...}
)
# Add handler method:
async def _your_custom_tool(self, args):
# Implementation
pass
# Add to call_tool():
elif name == "your_custom_tool":
result = await self._your_custom_tool(arguments)
```
## 📄 License
MIT License - Free to use, modify, and distribute
## 🤝 Contributing
Contributions welcome! Please:
1. Fork the repository
2. Create a feature branch
3. Add tests
4. Submit a pull request
## ⭐ Features Coming Soon
- Historical weather data
- Weather maps
- UV index information
- Marine weather data
- Agricultural weather data
## 📞 Support
- **Issues:** GitHub Issues
- **OpenWeatherMap Support:** https://openweathermap.org/faq
- **MCP Community:** https://modelcontextprotocol.io
---
**Built with ❤️ using OpenWeatherMap Free API**
*Get started in 5 minutes with free weather data for your AI!*
