Weather MCP Server
Example of creating MCP server
What is Weather MCP Server?
what is Weather MCP Server? Weather MCP Server is a learning project that implements a simple weather service using the Model Context Protocol (MCP) to provide weather alerts and forecasts through the National Weather Service (NWS) API. how to use Weather MCP Server? To use the Weather MCP Server, clone the repository, install the required dependencies, and configure the MCP server in your AI assistant according to the provided setup instructions. key features of Weather MCP Server? get_alerts: Retrieve active weather alerts for a US state. get_forecast: Get weather forecast for a specific location using latitude and longitude. use cases of Weather MCP Server? Providing real-time weather alerts for specific regions. Offering weather forecasts based on geographical coordinates. Integrating with AI assistants to enhance user interaction with weather data. FAQ from Weather MCP Server? What programming language is used for this project? The project is implemented in Python 3.9 and above. Is this project suitable for production use? No, this project is for educational purposes only. Where can I find the documentation for MCP? You can find the documentation at https://modelcontextprotocol.io/quickstart/server#core-mcp-concepts.
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.
How to use Weather MCP Server
To use the Weather MCP Server, clone the repository, install the required dependencies, and configure the MCP server in your AI assistant according to the provided setup instructions. key features of Weather MCP Server? get_alerts: Retrieve active weather alerts for a US state. get_forecast: Get weather forecast for a specific location using latitude and longitude. use cases of Weather MCP Server? Providing real-time weather alerts for specific regions. Offering weather forecasts based on geographical coordinates. Integrating with AI assistants to enhance user interaction with weather data. FAQ from Weather MCP Server? What programming language is used for this project? The project is implemented in Python 3.9 and above. Is this project suitable for production use? No, this project is for educational purposes only. Where can I find the documentation for MCP? You can find the documentation at https://modelcontextprotocol.io/quickstart/server#core-mcp-concepts.
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 Weather MCP Server 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 Weather MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.