MCP.Market

Taiwan Weather MCP server

by GoneTone·io.github.GoneTone/mcp-server-taiwan-weather·v0.1.4·11 stars

用於取得臺灣中央氣象署 API 資料的 Model Context Protocol (MCP) Server

C62/100grade C
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Safety scan
C62/100

full report

Adoption
New

11 stars60 downloads/wk

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Taiwan Weather tools (1)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • get_taiwan_weather_forecast

    \u53D6\u5F97\u81FA\u7063\u5404\u7E23\u5E02\u5929\u6C23\u9810\u5831\u8CC7\u6599 - \u4ECA\u660E 36 \u5C0F\u6642\u5929\u6C23\u9810\u5831\u3002 (\u53EF\u7528\u7E23\u5E02\u540D\u7A31\uFF1A …)

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

1 medium
  • Code scan2 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 376 days ago1/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumNo commits in over a yearmaint.stale
Overall 62/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Taiwan Weather compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
62/100
higher than 18% of 4,460 AI and agents servers
Tools
1
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
11
more than 85% of 2,711 AI and agents servers
Downloads a week
60
more than 49% of 1,538 AI and agents servers with a package

What its tools let an agent do: 1 read

Install Taiwan Weather in Claude Code, Cursor or VS Code

Runs npx -y @gonetone/mcp-server-taiwan-weather on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-server-taiwan-weather -- npx -y @gonetone/mcp-server-taiwan-weather
Add to Cursor

What the publisher says

From the Taiwan Weather repository's README, as published. We do not edit it. Read it on GitHub

臺灣氣象 - 中央氣象署 MCP Server (非官方)

用於取得臺灣中央氣象署 API 資料的 Model Context Protocol (MCP) Server。

Model Context Protocol (MCP) 是什麼?

MCP 是一個開放協議,它標準化了應用程式如何為大型語言模型 (LLMs) 提供上下文。可以將 MCP 想像成 AI 應用程式的 USB-C 接口。就像 USB-C 為您的設備提供了一種標準化的方式來連接各種外圍設備和配件,MCP 提供了一種標準化的方式來將 AI 模型連接到不同的數據源和工具。

詳細介紹請參考 Model Context Protocol 官方頁面。

功能

  • 取得臺灣各縣市天氣預報資料 - 今明 36 小時天氣預報

API

Tools

  1. gettaiwanweather_forecast
  • 取得臺灣各縣市天氣預報資料 - 今明 36 小時天氣預報
  • 輸入參數:
  • locationName (string): 臺灣縣市名稱
  • 返回值:中央氣象署 API F-C0032-001 資料 Json (key records)

對話例子

取得臺灣各縣市天氣預報資料 - 今明 36 小時天氣預報

  • 高雄今天天氣如何呢?
  • 我想知道屏東的天氣
  • 台北氣象預報

設置

臺灣中央氣象署 API 授權碼

您必須先取得臺灣中央氣象署 API 授權碼:

  • 前往 https://opendata.cwa.gov.tw/user/authkey (需登入帳號,沒有的話請註冊)
  • 點擊 "取得授權碼" 按鈕
  • 複製授權碼

用於 Claude Desktop 或其他支援 MCP 的應用程式

要在 Claude Desktop 中使用,請將以下內容添加到您的 claudedesktopconfig.json:

{
  "mcpServers": {
    "taiwan-weather": {
      "command": "npx",
      "args": [
        "-y",
        "@gonetone/mcp-server-taiwan-weather"
      ],
      "env": {
        "CWA_API_KEY": "<您的中央氣象署 API 授權碼>"
      }
    }
  }
}

如果要在其他支援 MCP 的應用程式中使用,請參考該應用程式的設定文件。

Windows npx 問題

如果在 Windows 上使用 npx 執行 MCP Server 時無法執行,可以改用以下其中一個方法嘗試:

使用 cmd 執行 npx

配置改用 cmd 執行 npx:

{
  "mcpServers": {
    "taiwan-weather": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "@gonetone/mcp-server-taiwan-weather"
      ],
      "env": {
        "CWA_API_KEY": "<您的中央氣象署 API 授權碼>"
      }
    }
  }
}

改用 node 執行

將 @gonetone/mcp-server-taiwan-weather 全域安裝:

npm install -g @gonetone/mcp-server-taiwan-weather

然後配置改用 node 執行:

{
  "mcpServers": {
    "taiwan-weather": {
      "command": "node",
      "args": [
        "<your-path>/node_modules/@gonetone/mcp-server-taiwan-weather"
      ],
      "env": {
        "CWA_API_KEY": "<您的中央氣象署 API 授權碼>"
      }
    }
  }
}

您可以使用 npm root -g 指令來查看全域安裝的 node_modules 目錄路徑。

貢獻

Issues 和 Pull requests 可以在 GitHub 上的 https://github.com/GoneTone/mcp-server-taiwan-weather 提出。

Build

yarn build

Test

可以使用 MCP Inspector 來測試 MCP Server:

npx -y @modelcontextprotocol/inspector -e CWA_API_KEY={您的中央氣象署 API 授權碼} node .

詳情請參考 MCP Inspector 官方頁面。

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Nothing above is checked by us. What we check is on the safety report.

Taiwan Weather: common questions

Is Taiwan Weather MCP server safe?
With care: it is graded C, so read the findings first (62/100). Read the Taiwan Weather safety report
How do I install Taiwan Weather?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Taiwan Weather need an API key?
Yes. The registry entry asks for CWA_API_KEY.
Is Taiwan Weather maintained?
The last commit was 409 days ago (2025-09-21). The latest release is v0.1.4.
What can I use instead of Taiwan Weather?
Servers from other publishers that do the same job: DataSinking MCP server and Tw Legal Rag MCP server.
How does Taiwan Weather compare with other AI and agents MCP servers?
safety score 62/100 (higher than 18% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Taiwan Weather

Same job from other publishers: the closest match first, then the best rated.

  • DataSinking
    Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
    A
  • Tw Legal Rag
    Citation-guarded retrieval over 22M Taiwan court judgments and administrative interpretations
    A