mcp-weather

Name: mcp-weather
Author: erhwenkuo

@erhwenkuo

代码仓库

关于 mcp-weather

一個給 AI Agent 使用的 MCP Server 範例，用來取得美國各州的天氣預報與警示資訊

基本信息

分类

媒体与设计

许可证

MIT

运行时

python

传输方式

stdio

发布者

erhwenkuo

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-weather-erhwenkuo": {
      "command": "uv",
      "args": [
        "run",
        "server"
      ]
    }
  }
}

工具

未检测到工具

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 mcp-weather?

mcp-weather is an MCP server example for AI agents to retrieve US weather forecasts and alerts. It integrates with the National Weather Service API and uses SSE transport for remote, decoupled access.

How to use mcp-weather?

Clone the repository, install dependencies with uv sync, then start the server with uv run server or via Docker. Connect using an MCP client (e.g., MCP Inspector) via SSE URL http://<host>:<port>/sse. The server exposes two tools: get_alerts and get_forecast. Host and port can be configured with command-line arguments.

Key features of mcp-weather

Provides US weather forecasts and alerts
SSE-based for remote, decoupled access
Two tools: get_alerts and get_forecast
Supports uv and Docker deployment
Configurable host and port via command line

Use cases of mcp-weather

AI agent fetching weather alerts for a US state
AI agent retrieving forecast for specific coordinates
Demonstrating SSE-based MCP server-client interaction

FAQ from mcp-weather

What transport does mcp-weather use?

SSE (Server-Sent Events), allowing the server to run as a remote process separate from the client.

What tools does mcp-weather provide?

Two tools: get_alerts for alerts by US state, and get_forecast for forecast by latitude/longitude.

How do I run mcp-weather?

Run with uv run server after installing dependencies, or build and run as a Docker container.

What are the system requirements?

Requires Python and uv runtime, or Docker. The examples use Ubuntu 24.04.

Is mcp-weather limited to US weather?

Yes, the tools are for US states and coordinates, using the National Weather Service API.

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