Creating-Weather-MCP-Server
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The Weather MCP Server implements a Model Context Protocol server to provide weather alerts for US states. It utilizes the National Weather Service API and offers features like Docker containerization, LLM-powered clients, and integration with various development environments.
Weather MCP Server
A Model Context Protocol (MCP) server providing weather alerts for US states, showcasing tools, Docker integration, and LLM-powered clients.
Features
- Weather alerts using the National Weather Service API
- Support for stdio and SSE transport
- Docker containerization
- Integration with Claude Desktop and Cursor IDE
- LLM-powered CLI client using Groq
- Built-in conversation memory support
Installation
Local Setup
- Clone the repository
- Install dependencies
Docker Setup
Pull the image or build locally.
Usage
Running the Server
- Local: Use
weather.py - Docker: Use pre-built Docker image
Client Examples
- CLI client with LLM Integration
- Standard I/O Client
- SSE Client
Available Tools
get_alerts
Retrieve weather alerts for a US state by entering its code.
Integration with Claude Desktop
Install the server and optionally specify a custom name.
Development
Prerequisites
- Python 3.11 or higher
- Docker (optional)
Environment Variables
Create a .env file with the GROQ_API_KEY.
Documentation
- Model Context Protocol SDK Documentation
- MCP Use Documentation
Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Open a Pull Request
License
MIT License.
Acknowledgments
Model Context Protocol team, National Weather Service API, Groq LLM API.