Weather MCP Server

What is Weather MCP Server? Weather MCP Server is a project that implements a Model Context Protocol (MCP) server, enabling AI assistants to interact with the National Weather Service (NWS) API for real-time weather alerts and forecasts. How to use Weather MCP Server? To use the Weather MCP Server, clone the repository, install the required dependencies, and run the main.py script. You can then interact with the server through an AI assistant like Claude to get weather-related information. Key features of Weather MCP Server? Retrieve active weather alerts for any US state. Fetch weather forecasts based on latitude and longitude. Utilizes the FastMCP framework for AI interaction. Use cases of Weather MCP Server? Providing real-time weather updates to users. Integrating weather data into AI applications. Enhancing AI assistants with weather-related capabilities. FAQ from Weather MCP Server? What technologies are used in this project? The project is built using Python, FastMCP, and httpx for asynchronous HTTP requests. Is there a specific Python version required? Yes, Python version 3.11.6 or higher is recommended. How can I install the required packages? You can install the required packages using pip with the command: pip install -r requirements.txt.

As an MCP (Model Context Protocol) server, Weather MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Weather MCP Server, clone the repository, install the required dependencies, and run the main.py script. You can then interact with the server through an AI assistant like Claude to get weather-related information. Key features of Weather MCP Server? Retrieve active weather alerts for any US state. Fetch weather forecasts based on latitude and longitude. Utilizes the FastMCP framework for AI interaction. Use cases of Weather MCP Server? Providing real-time weather updates to users. Integrating weather data into AI applications. Enhancing AI assistants with weather-related capabilities. FAQ from Weather MCP Server? What technologies are used in this project? The project is built using Python, FastMCP, and httpx for asynchronous HTTP requests. Is there a specific Python version required? Yes, Python version 3.11.6 or higher is recommended. How can I install the required packages? You can install the required packages using pip with the command: pip install -r requirements.txt.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.