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。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

WardenPoint

作者:WardenPoint版本 0.1.2i★ –i在你的电脑上运行
注册名称io.github.WardenPoint/wardenpoint-mcp

安装

概览

作者提供的说明(英文原文)

Configure on-call alerting from an AI agent: recipients, groups, escalation policies, schedules.

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:WARDENPOINT_BASE_URL, WARDENPOINT_API_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: WARDENPOINT_BASE_URL, WARDENPOINT_API_TOKEN, WARDENPOINT_TIMEOUT_MS, WARDENPOINT_ALLOW_INSECURE_TLS

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 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 …”。

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

{
  "mcpServers": {
    "wardenpoint": {
      "command": "npx",
      "args": [
        "-y",
        "@wardenpoint/mcp-server"
      ],
      "env": {
        "WARDENPOINT_BASE_URL": "your-value",
        "WARDENPOINT_API_TOKEN": "your-value",
        "WARDENPOINT_TIMEOUT_MS": "your-value",
        "WARDENPOINT_ALLOW_INSECURE_TLS": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add wardenpoint --env WARDENPOINT_BASE_URL=your-value --env WARDENPOINT_API_TOKEN=your-value --env WARDENPOINT_TIMEOUT_MS=your-value --env WARDENPOINT_ALLOW_INSECURE_TLS=your-value -- npx -y @wardenpoint/mcp-server

运行前请先填写空着的值。

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": {
    "wardenpoint": {
      "command": "npx",
      "args": [
        "-y",
        "@wardenpoint/mcp-server"
      ],
      "env": {
        "WARDENPOINT_BASE_URL": "your-value",
        "WARDENPOINT_API_TOKEN": "your-value",
        "WARDENPOINT_TIMEOUT_MS": "your-value",
        "WARDENPOINT_ALLOW_INSECURE_TLS": "your-value"
      }
    }
  }
}

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": {
    "wardenpoint": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@wardenpoint/mcp-server"
      ],
      "env": {
        "WARDENPOINT_BASE_URL": "your-value",
        "WARDENPOINT_API_TOKEN": "your-value",
        "WARDENPOINT_TIMEOUT_MS": "your-value",
        "WARDENPOINT_ALLOW_INSECURE_TLS": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • WARDENPOINT_BASE_URL 必填 env
    Origin of your WardenPoint installation, without a trailing slash and without /api/v1 — e.g. https://wardenpoint.com. The server reads the API description from it at startup, so the tools always matc…
  • WARDENPOINT_API_TOKEN 机密 必填 env
    A company API key from Dashboard → Integrations → API keys. Abilities are chosen when you issue it; read-only is a good place to start. Not needed for --list-tools.
  • WARDENPOINT_TIMEOUT_MS env
    Per-request timeout in milliseconds. Defaults to 30000.
  • WARDENPOINT_ALLOW_INSECURE_TLS env
    Set to 1 to skip certificate verification. Development stands only — never against production.

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 WardenPoint 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32599 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32599 个服务器的 23% 更新
  • 基础检查结果等于或优于此分类中其他 32599 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

WardenPoint 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?

你需要填写:WARDENPOINT_BASE_URL, WARDENPOINT_API_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.2)于3个月前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

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

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

Zendesk

作者:pipeworx-io

Zendesk MCP Pack — tickets, users, organizations via OAuth.

电脑或云端今天更新
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。

WardenPoint MCP server

An MCP server that lets an agent configure a WardenPoint account — recipients, contacts, groups, notification rules, escalation policies, on-call schedules, alert-source integrations, routing rules and telephony — without anyone opening the dashboard.

It speaks stdio and exposes one tool per operation of your installation's own OpenAPI description.

{

"mcpServers": { "wardenpoint": { "command": "npx", "args": ["-y", "@wardenpoint/mcp-server"], "env": { "WARDENPOINT_BASE_URL": "https://wardenpoint.com", "WARDENPOINT_API_TOKEN": "acb_xxxxxxxx.xxxxxxxx" } } } }

That is the whole installation. Your MCP client starts the server on demand; nothing runs between sessions.

The one rule this server exists to keep

There is no second copy of the contract here.

Every tool — its name, its text, its arguments, their descriptions, their enums and bounds, the responses it can answer with — is read at startup from the OpenAPI description served by the installation you are configuring (GET {WARDENPOINT_BASE_URL}/docs). Nothing about the API is restated in this package.

That is deliberate, and it is why the tools cannot quietly drift:

  • an endpoint added to your installation appears as a tool the next time the server starts — no package upgrade involved;
  • a description reworded upstream rewords the agent's instructions with it;
  • an operation nobody described is invisible to the agent, which is the correct failure and the reason --spec-report exists.

A description bundled inside this package would describe whatever was current when the package was published, while the agent talks to whatever you actually run. There is no offline fallback for the same reason: every tool here is an HTTP call to that installation, so if it cannot be reached, a complete tool list would be a list of things that cannot be done.

Requirements

Node 20 or newer. No build step, no native modules.

Environment

VariableRequiredMeaning
WARDENPOINT_BASE_URLyesOrigin of the installation — no trailing slash, no /api/v1 suffix. The description carries full paths.
WARDENPOINT_API_TOKENto callA company API key from Dashboard → Integrations → API keys. Sent as X-API-Key. Not needed for --list-tools or --spec-report.
WARDENPOINT_ALLOW_INSECURE_TLSno1 disables certificate verification. Development stands only — never against production.
WARDENPOINT_TIMEOUT_MSnoPer-request timeout, default 30000.
WARDENPOINT_TOOLSnoComma-separated patterns limiting which tools are offered, e.g. recipients,groups or v1_schedules_*. Unset means all of them.
WARDENPOINT_OPENAPI_PATHnoRead the description from a local file instead of the installation. For developing against a description that is not deployed yet.

The token is read from the environment at every start and is never written anywhere by this package.

What the key is allowed to do

Abilities are chosen when you issue the key, and a 403 names the one that was missing:

  • config.read — read the whole configuration. A good place to start: the agent can explain an account somebody else built and change nothing.
  • config.write — create, update, delete.
  • notifications.send / notifications.read — fire alerts and inspect them.

No ability can read a secret. There is no such ability in the vocabulary, so it cannot be granted by mistake. The API reports whether a credential is set and whether it verified — never its value.

What the tool list costs

Every tool definition is sent to the model before the person says anything, so it is spent whether or not the conversation ever touches WardenPoint. The full set of 89 tools is roughly 64k tokens — on a 200k context window, a third of it.

The server prints the figure at startup so it is not an invisible cost:

wardenpoint-mcp-server: 89 tools (~63k tokens of context; narrow it with WARDENPOINT_TOOLS) from …

If a session only ever touches part of the product, say so:

"env": { "WARDENPOINT_TOOLS": "recipients,groups,schedules" }

That drops the same run to a handful of tools and a few thousand tokens. Patterns match tool names (v1_recipients_store), and * works. Leave it unset and you get everything, which is the safe default: a tool that quietly disappeared looks like a missing product capability.

Running

npx -y @wardenpoint/mcp-server --list-tools     # every tool, with its arguments

npx -y @wardenpoint/mcp-server --spec-report # gaps in the description itself

Both talk to WARDENPOINT_BASE_URL to fetch the description; neither needs a token. Without arguments the process speaks MCP over stdio and is meant to be started by a client, not by hand.

Two credentials, and why they are not interchangeable

  • API key (WARDENPOINT_API_TOKEN) — who you are. Every configuration tool uses it.
  • Integration secret — proves a specific alert-source webhook is genuine. Two tools accept it as an argument; it is not read from the environment and not stored here.

What this server deliberately cannot do

Two steps in setting up an account need a human at a screen, and both stay that way on purpose:

  • Scanning a Telegram QR code.
  • Typing a provider secret.

For each, the agent asks the installation to issue a one-time link, shows it to the person, and polls for the result. The person opens that link in the dashboard, behind their own login, and types the value themselves. Ask an agent to relay a secret through the conversation and it will refuse — that is what the link exists to avoid.

Errors reach the agent intact

The API spends real effort explaining refusals — which ability was missing, which field failed validation, why a send queued nothing. This server passes the body through whole, on success and failure alike, because an agent repairs itself from that text and nothing else.

Licence

MIT. See LICENSE.

Issues and contributions: https://github.com/WardenPoint/wardenpoint-mcp.

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