Weather MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Weather MCP Serverwhat's the current weather in New York?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Weather MCP Server
A Model Context Protocol (MCP) server that provides weather data using the free Open-Meteo API.
Features
No API Key Required: Uses the free Open-Meteo API
Current Weather: Get real-time weather conditions for any location
Daily Forecast: Multi-day weather forecasts (up to 16 days)
Hourly Forecast: Detailed hour-by-hour predictions (up to 7 days)
Location Search: Find coordinates for any city worldwide
Flexible Units: Support for metric and imperial units
Multiple Formats: Both human-readable markdown and machine-readable JSON outputs
Tools
1. weather_search_location
Search for a city to get its coordinates.
Parameters:
city(str): City name to searchcount(int, optional): Maximum number of results (default: 5)response_format(str, optional): Output format - 'markdown' or 'json' (default: 'markdown')
Example:
{
"city": "London",
"count": 3
}2. weather_get_current
Get current weather conditions for a location.
Parameters:
latitude(float): Latitude coordinate (-90 to 90)longitude(float): Longitude coordinate (-180 to 180)temperature_unit(str, optional): 'celsius' or 'fahrenheit' (default: 'celsius')wind_speed_unit(str, optional): 'kmh', 'ms', 'mph', or 'kn' (default: 'kmh')response_format(str, optional): Output format (default: 'markdown')
Example:
{
"latitude": 51.5074,
"longitude": -0.1278,
"temperature_unit": "celsius"
}3. weather_get_forecast
Get daily weather forecast for up to 16 days.
Parameters:
latitude(float): Latitude coordinatelongitude(float): Longitude coordinatedays(int, optional): Number of forecast days 1-16 (default: 7)temperature_unit(str, optional): Temperature unit (default: 'celsius')wind_speed_unit(str, optional): Wind speed unit (default: 'kmh')response_format(str, optional): Output format (default: 'markdown')
Example:
{
"latitude": 40.7128,
"longitude": -74.0060,
"days": 5,
"temperature_unit": "fahrenheit"
}4. weather_get_hourly
Get hourly weather forecast for up to 7 days (168 hours).
Parameters:
latitude(float): Latitude coordinatelongitude(float): Longitude coordinatehours(int, optional): Number of forecast hours 1-168 (default: 24)temperature_unit(str, optional): Temperature unit (default: 'celsius')wind_speed_unit(str, optional): Wind speed unit (default: 'kmh')response_format(str, optional): Output format (default: 'markdown')
Example:
{
"latitude": 35.6762,
"longitude": 139.6503,
"hours": 48
}Installation
Prerequisites
Python 3.10 or higher
pip
Install Dependencies
cd weather_mcp
pip install -r requirements.txtUsage
Running the Server
The server uses stdio transport for local integration:
python server.pyUsing with Claude Desktop or Other MCP Clients
Add the following to your MCP client configuration:
For Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"weather": {
"command": "python",
"args": ["/path/to/weather_mcp/server.py"]
}
}
}For Claude Code (.claude/settings.json):
{
"mcpServers": {
"weather": {
"command": "python",
"args": ["/path/to/weather_mcp/server.py"]
}
}
}Testing with MCP Inspector
You can test the server using the MCP Inspector:
# Install MCP Inspector
npm install -g @modelcontextprotocol/inspector
# Run inspector
npx @modelcontextprotocol/inspector python server.pyExample Client
See client_example.py for a complete example of how to use the MCP server programmatically.
python client_example.pyExample Queries
Here are some example queries you can use with this MCP server:
Find a city and get its weather:
First, search for "Paris" to get coordinates, then get current weather for those coordinates.Get a weekly forecast:
Get a 7-day weather forecast for London (51.5074, -0.1278) in Fahrenheit.Check hourly conditions:
Get the next 24 hours of weather data for Tokyo (35.6762, 139.6503).
API Response Formats
Markdown Format (Default)
Human-readable format with headers, bullet points, and clear structure. Ideal for display to users.
JSON Format
Machine-readable structured data. Perfect for programmatic processing or integration with other tools.
Data Source
This server uses the Open-Meteo API, which provides:
Free access for non-commercial use
No API key required
High-quality weather data from multiple national weather services
Global coverage
Architecture
FastMCP Framework: Uses the official MCP Python SDK with FastMCP
Pydantic Validation: All inputs are validated using Pydantic v2 models
Async HTTP: Non-blocking API calls using httpx
Type Safety: Full type hints throughout the codebase
Error Handling: Comprehensive error messages with actionable suggestions
Contributing
Contributions are welcome! Please feel free to submit issues or pull requests.
License
MIT License - See LICENSE file for details.
Acknowledgments
Weather data provided by Open-Meteo
Built with Model Context Protocol
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