MCP Server
by aquental
This is a Weather MCP (Model Context Protocol) server implemented in Python. It provides an interface for accessing weather-related data.
Last updated: N/A
What is MCP Server?
This is a Python implementation of an MCP server specifically designed to provide weather data. It leverages asynchronous programming and interacts with external weather APIs, such as the National Weather Service.
How to use MCP Server?
To use the server, you need to install the required dependencies using uv or pip, including the mcp library and httpx. The provided code snippet shows how to initialize a project, create a virtual environment, install dependencies, and create the server file. Refer to the linked documentation for detailed instructions.
Key features of MCP Server
Asynchronous API calls
Comprehensive test suite
Mocked HTTP responses for testing
Integration with National Weather Service API
Alert and forecast retrieval
Use cases of MCP Server
Providing weather data to MCP-compatible applications
Building weather-aware applications
Integrating weather information into existing systems
Creating a local weather data server for development and testing
FAQ from MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. Refer to modelcontextprotocol.io for more information.
What dependencies are required?
What dependencies are required?
The server requires Python 3.12+, mcp, httpx, pytest, pytest-asyncio, and pytest-cov.
How do I run the tests?
How do I run the tests?
Use the command pytest in the project directory.
Does the server handle errors?
Does the server handle errors?
Yes, the server includes error handling for API failures and other potential issues.
Where can I find more documentation?
Where can I find more documentation?
Refer to the documentation link provided in the README: modelcontextprotocol.io/quickstart/server