what is Weather MCP Server?
Weather MCP Server is a Model Context Protocol (MCP) server that provides weather information using the National Weather Service (NWS) API.
how to use Weather MCP Server?
To use the Weather MCP Server, clone the repository, set up a virtual environment, install the required packages, and run the server using Python.
key features of Weather MCP Server?
- Get weather alerts for a US state.
- Get weather forecast for a specific location using latitude and longitude.
use cases of Weather MCP Server?
- Monitoring weather alerts for specific states.
- Obtaining weather forecasts for various locations.
FAQ from Weather MCP Server?
- What programming language is used for Weather MCP Server?
The server is built using Python.
- Is there a way to customize the server settings?
Yes! You can modify the
config.py
file to customize settings like API base URL and logging level.
- How can I contribute to the project?
Contributions are welcome! You can submit a Pull Request on the GitHub repository.
Weather MCP Server
This is a Model Context Protocol (MCP) server that provides weather information using the National Weather Service (NWS) API.
Features
- Get weather alerts for a US state
- Get weather forecast for a specific location (using latitude and longitude)
Requirements
- Python 3.10+
- FastMCP
- httpx
Installation
- Clone this repository
- Set up a virtual environment:
python -m venv .venv source .venv/bin/activate # On Windows, use `.venv\Scripts\activate`
- Install the required packages using uv:
uv add "mcp[cli]" httpx
Configuration
The server uses a configuration file config.py
with the following settings:
NWS_API_BASE
: The base URL for the National Weather Service APIUSER_AGENT
: The User-Agent string used when making requests to the NWS APILOG_LEVEL
: The logging level (e.g., "INFO", "DEBUG")LOG_FORMAT
: The format string for log messagesREQUEST_TIMEOUT
: The timeout for API requests in seconds
You can modify these settings in the config.py
file to customize the server behavior.
Usage
Running the server standalone
To run the server standalone:
- Activate the virtual environment if not already activated:
source .venv/bin/activate # On Windows, use `.venv\Scripts\activate`
- Run the server:
python weather.py
Using with Cline
The Weather MCP Server has been added to the Cline configuration. To use it within Cline:
-
Ensure that Cline is properly set up and running.
-
The Weather MCP Server will be available as a tool named "weather".
-
You can use the following tools within Cline:
a.
get_alerts(state: str)
: Get weather alerts for a US state (use two-letter state code, e.g., "CA" for California) b.get_forecast(latitude: float, longitude: float)
: Get weather forecast for a specific location
Example usage in Cline:
# Get alerts for California
result = await mcp.call_tool("weather.get_alerts", state="CA")
print(result)
# Get forecast for San Francisco (approximate coordinates)
result = await mcp.call_tool("weather.get_forecast", latitude=37.7749, longitude=-122.4194)
print(result)
Note: The exact syntax for calling MCP tools may vary depending on your Cline setup. Refer to Cline documentation for the most up-to-date usage instructions.
Error Handling and Logging
The server includes improved error handling for API requests and logging. If an error occurs during a request, the server will log the error and return an appropriate error message. Logs are printed to the console with the configured log level and format.
Testing
Unit Tests
To run the unit tests:
python -m unittest test_weather.py
These tests cover the basic functionality of the get_alerts
and get_forecast
tools.
Manual Testing
To manually test the server, you can use the MCP client to call the provided tools. Here are some example commands:
# Get alerts for California
result = await mcp.call_tool("get_alerts", state="CA")
print(result)
# Get forecast for San Francisco (approximate coordinates)
result = await mcp.call_tool("get_forecast", latitude=37.7749, longitude=-122.4194)
print(result)
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is open source and available under the MIT License.