Weather MCP Server

@aniket1500

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

aniket1500

关于 Weather MCP Server

暂无概览

#weather #mcp-server #docker

Weather MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Weather MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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).

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