Weather MCP Server

what is MCP-Weather-Server? MCP-Weather-Server is a server that provides access to US weather data from the National Weather Service (NWS) API, allowing users to fetch weather alerts and forecasts for various locations across the United States. how to use MCP-Weather-Server? To use the server, clone the repository, install the required dependencies, and run the server. You can then use the provided functions to get weather alerts and forecasts by state or geographical coordinates. key features of MCP-Weather-Server? Fetch weather alerts for any US state using two-letter state codes. Retrieve detailed weather forecasts based on latitude and longitude. Structured logging with contextual information for better debugging. Error handling and timeout management for robust performance. use cases of MCP-Weather-Server? Monitoring weather conditions and alerts for specific states. Integrating weather data into applications for real-time updates. Providing weather forecasts for planning events or travel. FAQ from MCP-Weather-Server? What programming language is used for MCP-Weather-Server? The server is built using Python. How can I run the server? You can run the server by executing python weather.py after setting up the environment. Is there any license for this project? The license details should be specified in the repository.

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 server, clone the repository, install the required dependencies, and run the server. You can then use the provided functions to get weather alerts and forecasts by state or geographical coordinates. key features of MCP-Weather-Server? Fetch weather alerts for any US state using two-letter state codes. Retrieve detailed weather forecasts based on latitude and longitude. Structured logging with contextual information for better debugging. Error handling and timeout management for robust performance. use cases of MCP-Weather-Server? Monitoring weather conditions and alerts for specific states. Integrating weather data into applications for real-time updates. Providing weather forecasts for planning events or travel. FAQ from MCP-Weather-Server? What programming language is used for MCP-Weather-Server? The server is built using Python. How can I run the server? You can run the server by executing python weather.py after setting up the environment. Is there any license for this project? The license details should be specified in the repository.

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