原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Weather

作者:Thx93版本 1.2.1i★ –i电脑或云端
注册名称io.github.Thx93/weather

安装

概览

作者提供的说明(英文原文)

US NWS weather alerts and 5-day forecasts for AI agents. $0.01 per call.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://agent-evidence.thx93.dev/weather/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": [
        "-y",
        "@thx93/mcp-weather-server"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http weather https://agent-evidence.thx93.dev/weather/mcp

或者在你的电脑上运行

claude mcp add weather -- npx -y @thx93/mcp-weather-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "weather": {
      "url": "https://agent-evidence.thx93.dev/weather/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": [
        "-y",
        "@thx93/mcp-weather-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "weather": {
      "type": "http",
      "url": "https://agent-evidence.thx93.dev/weather/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "weather": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@thx93/mcp-weather-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://agent-evidence.thx93.dev/weather/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Thx93 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32678 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32678 个服务器的 71% 更新
  • 基础检查结果等于或优于此分类中其他 32678 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Weather 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.2.1)于15天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Starreel

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Starreel

作者:starreel

Turn a script into a finished, downloadable short-drama episode — via MCP or REST.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

MCP Weather Server — US alerts and forecasts for AI agents

A minimal Model Context Protocol server that exposes US weather data from the National Weather Service API as two read-only tools.

The NWS API is free, keyless and US-only, so this server needs no credentials and no account to run.

ToolInputReturns
get-alertsstate — two-letter code, e.g. CAActive weather alerts for that state
get-forecastlatitude, longitudeThe next five forecast periods for that point

Both tools are annotated readOnlyHint: true and destructiveHint: false, so a host that respects tool annotations can invoke them without asking first. Both reach out to api.weather.gov and are marked openWorldHint: true for that reason.

Use it hosted, paid per call

Running it yourself costs nothing. There is also a hosted version, paid per call in USDC on Base over x402, for agents that would rather not carry a Node process and a data layer:

https://agent-evidence.thx93.dev/weather/mcp

It serves the same two tools, with the same output schemas and the same null fallbacks, plus a free health tool and free tools/list so the service can be discovered and probed before paying. Discovery is free; a tools/call for get-alerts or get-forecast returns 402 with the price. Both are declared read-only, so a host that respects annotations will not ask twice.

The server.json in this repository advertises that remote, so an MCP client can install it by registry name rather than by cloning anything.

Prerequisites

  • Node.js 24+
  • npm

Build, test and run

npm install

npm test # builds, then runs the suite npm run build # compile only node build/index.js

The suite drives the real server over InMemoryTransport with the NWS API stubbed, so npm test touches no network and needs no credentials. It covers tool discovery and annotations, the get-alerts and get-forecast data paths, the fallbacks for fields the NWS sends as null, the failure contract, and input validation.

Running node build/index.js speaks the MCP protocol over stdio: it prints to stderr and waits for a client on stdin, so it is meant to be launched by a host rather than by hand.

Adding it to a client

Most MCP hosts use the same three-line shape:

{

"mcpServers": { "weather": { "command": "node", "args": ["/absolute/path/to/mcp-weather-server/build/index.js"] } } }

Or straight from npm — published 2026-10-19:

npx -y @thx93/mcp-weather-server

Or, equivalently, as a client config entry:

{

"mcpServers": { "weather": { "command": "npx", "args": ["-y", "@thx93/mcp-weather-server"] } } }

Or straight from the repository, with no registry account needed:

npm install github:Thx93/mcp-weather-server

That path works because prepare builds the server during the install; build/ is not committed, so without it the bin would point at a file that does not exist. It was verified end to end — install from GitHub, then speak MCP to the result, and both tools list with object output schemas.

Verified against the source

The tools return the National Weather Service's own data, so correctness is checkable rather than asserted. On 2026-10-19, api.weather.gov reported one active alert for TX and a paid call to the hosted get-alerts returned exactly one - Event: Flood Advisory - for the same state.

That matters more than it sounds: the sibling evidence service carries a documented reliability gap in its *verdict* (see its docs/evidence-quality.md), while these tools have no inferred judgement to get wrong. They fetch and reshape; the values are the NWS's.

Behaviour worth knowing

Failures are tool results, not protocol errors. A request the NWS cannot answer — a non-US location, an outage, a timeout — comes back as { isError: true, content: [{ type: "text", text: " " }] }. That is the MCP contract for "this call was well formed and the work failed", as distinct from a JSON-RPC error, which means the call itself was broken. A client can show the text to a user and retry.

The NWS is slow to give up and we are not. Every request carries a 10-second timeout, so a stalled upstream surfaces as a failed tool call instead of a hung one.

Missing fields fall back rather than printing `null`. The NWS returns null for fields it does not have. A missing event name renders as Unknown, a missing temperature as Unknown — never the literal string null.

`get-forecast` returns at most five periods. Enough to answer "what is the weather like", short enough for a context window.

Structured content

Both tools declare an outputSchema and return structuredContent, and both schemas are objects: get-forecast returns { latitude, longitude, periods }, get-alerts returns { alerts: [...] }.

get-alerts previously declared a top-level array, which protocol revision 2026-07-28 does permit. It was changed because a client on the widely-deployed MCP SDK rejects the entire tools/list response when it meets an array schema — invalid_value: expected "object" — so such a client cannot connect to the server at all. Wrapping the array in an object is what makes these tools reachable from ordinary clients; the textual summary a model reads is unchanged.

FAQ

What is this? An MCP (Model Context Protocol) server that exposes US weather data from the National Weather Service as two read-only tools, get-alerts and get-forecast. It runs over stdio when you install it, and the same code is served over streamable HTTP at https://agent-evidence.thx93.dev/weather/mcp where it is paid per call.

Do I need an API key? No. The National Weather Service API needs no key, and neither the local server nor the hosted endpoint asks for one, for an account, or for a signup.

How much does it cost? Running it yourself is free — it is ISC-licensed and published as @thx93/mcp-weather-server on npm. The hosted endpoint charges 0.01 USDC per call on Base through x402, which is how an agent with a wallet but no ability to sign up for anything can still call it.

Which locations are supported? US only. The data is the National Weather Service's, which covers the United States and its territories. A coordinate outside that coverage returns an error rather than a guess.

What do the tools return? get-alerts takes a two-letter state code and returns every active alert: event, area, severity, description and the official instruction. get-forecast takes a latitude and longitude and returns five forecast periods: name, temperature, wind speed and direction, and the plain-language forecast. Both declare an object output schema.

How do I add it to Claude Desktop, Cursor or another MCP client?

{

"mcpServers": { "weather": { "command": "npx", "args": ["-y", "@thx93/mcp-weather-server"] } } }

Why does it exist? It began as the MCP "Build a server" tutorial and was extended: typed output schemas, read-only annotations, a bounded fetch, an explicit failure contract and a test suite.

Provenance

Started from the Build an MCP server tutorial and then went past it: typed output schemas, read-only tool annotations, a bounded fetch with an explicit failure contract, and a test suite. Licensed ISC.

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