Overview
What is 🌤️ Weather MCP Server?
🌤️ Weather MCP Server is a lightweight MCP (Model Context Protocol) server that provides real-time weather alerts and forecasting data. It is designed as a backend for AI agents, voice assistants, and simple CLI clients.
How to use 🌤️ Weather MCP Server?
Install Python 3.11+, the uv package manager, and optionally Docker. Create a virtual environment, add mcp[cli], then run the development server with uv run mcp dev weather-mcp-server. A containerized deployment is also supported via Docker.
Key features of 🌤️ Weather MCP Server
- Weather Alerts by U.S. state
- 7-Day Weather Forecasts by latitude and longitude
- MCP-compliant interface for easy agent integration
- Docker support for containerized deployment
Use cases of 🌤️ Weather MCP Server
- AI agents requiring real-time weather data
- Voice assistants delivering weather updates
- CLI tools for quick weather queries
- Integration into smart home automation systems
FAQ from 🌤️ Weather MCP Server
What weather data does the server provide?
It supplies weather alerts for U.S. states and 7-day forecasts for any latitude/longitude coordinates.
What are the runtime requirements?
Python 3.11+ and the uv package manager. Docker is optional but supported for containerized use.
Is Docker required to run the server?
No, Docker is optional. The server can be run directly via uv run mcp dev weather-mcp-server without containers.
How can I test the server locally?
After installing dependencies, run uv run mcp dev weather-mcp-server to start a development instance with MCP tool discovery capabilities.
Does the server require an API key or external service?
No, the README does not mention any API keys or external service sign-ups; it uses built-in data sources (likely National Weather Service based on U.S. alerts).
