mcp-weather
About
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
Details
- License
- MIT
Explore
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mcp-weatherCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.2/install.sh | bash
nvm install 22
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-weather": {
"mcp-weather-erhwenkuo": {
"command": "uv",
"args": [
"run",
"server"
]
}
}
}
}McpServers
{
"mcp-weather-erhwenkuo": {
"command": "uv",
"args": [
"run",
"server"
]
}
}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。
- 原始專案: mcp-sse
目的
這個 mcp server 示範了基於 SSE 的 MCP 伺服器和使用其中工具的獨立 MCP 用戶端的工作模式。
運行環境
本專案使用 uv 來管理相關的依賴與 python 的運行環境, 如果尚未安裝 uv 可依照官網的安裝指示來安裝。
接下來的相關命令都是在 Ubuntu 24.04 的環境下執行的, 其它作業系統的操作請自行修改:
$ curl -LsSf https://astral.sh/uv/install.sh | sh
下載源碼:
$ git clone https://github.com/erhwenkuo/mcp-weather.git
$ cd mcp-weather
$ uv sync
運行服務
使用 uv 來啟動:
$ uv run server
INFO: Started server process [15784]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8080 (Press CTRL+C to quit)
使用 Docker 來啟動
首先構建 Docker image:
$ docker build -t mcp-weather .
啟動 mcp-weather:
$ docker run -d -p 5488:5488 mcp-weather
驗證結果
首先安裝 nodejs:
```bash
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