MCP Weather
A weather Model context protocol (MCP) tool server to allow AI agents to have access to real time weather data.
What is MCP Weather?
what is MCP Weather? MCP Weather is a weather information service built with the Model Control Protocol (MCP) framework that provides access to real-time weather data from the National Weather Service (NWS). how to use MCP Weather? To use MCP Weather, clone the repository, install the dependencies, and run the service using Python. You can then access weather alerts and forecasts through the provided API. key features of MCP Weather? Retrieve active weather alerts by US state code Get detailed weather forecasts for specific locations Clean, formatted output for easy reading Built as an MCP tool for seamless integration with AI assistants use cases of MCP Weather? Providing real-time weather updates to AI assistants Alerting users about severe weather conditions in their area Offering detailed weather forecasts for planning outdoor activities FAQ from MCP Weather? Can MCP Weather provide weather data for all US states? Yes! MCP Weather can retrieve weather alerts and forecasts for any US state. What are the requirements to run MCP Weather? You need Python 3.13 or higher and the specified dependencies. How can I contribute to MCP Weather? Contributions are welcome! You can submit a Pull Request on the GitHub repository.
As an MCP (Model Context Protocol) server, MCP Weather enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use MCP Weather
To use MCP Weather, clone the repository, install the dependencies, and run the service using Python. You can then access weather alerts and forecasts through the provided API. key features of MCP Weather? Retrieve active weather alerts by US state code Get detailed weather forecasts for specific locations Clean, formatted output for easy reading Built as an MCP tool for seamless integration with AI assistants use cases of MCP Weather? Providing real-time weather updates to AI assistants Alerting users about severe weather conditions in their area Offering detailed weather forecasts for planning outdoor activities FAQ from MCP Weather? Can MCP Weather provide weather data for all US states? Yes! MCP Weather can retrieve weather alerts and forecasts for any US state. What are the requirements to run MCP Weather? You need Python 3.13 or higher and the specified dependencies. How can I contribute to MCP Weather? Contributions are welcome! You can submit a Pull Request on the GitHub repository.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like MCP Weather can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Weather provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
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