Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Configure on-call alerting from an AI agent: recipients, groups, escalation policies, schedules.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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。
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。
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。
WARDENPOINT_TIMEOUT_MS envWARDENPOINT_ALLOW_INSECURE_TLS env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。
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
注册名称已通过 GitHub 账户 WardenPoint 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:WARDENPOINT_BASE_URL, WARDENPOINT_API_TOKEN
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)。
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。
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。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Zendesk
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Zendesk MCP Pack — tickets, users, organizations via OAuth.
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。
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.
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:
--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.
Node 20 or newer. No build step, no native modules.
| Variable | Required | Meaning |
|---|---|---|
WARDENPOINT_BASE_URL | yes | Origin of the installation — no trailing slash, no /api/v1 suffix. The description carries full paths. |
WARDENPOINT_API_TOKEN | to call | A company API key from Dashboard → Integrations → API keys. Sent as X-API-Key. Not needed for --list-tools or --spec-report. |
WARDENPOINT_ALLOW_INSECURE_TLS | no | 1 disables certificate verification. Development stands only — never against production. |
WARDENPOINT_TIMEOUT_MS | no | Per-request timeout, default 30000. |
WARDENPOINT_TOOLS | no | Comma-separated patterns limiting which tools are offered, e.g. recipients,groups or v1_schedules_*. Unset means all of them. |
WARDENPOINT_OPENAPI_PATH | no | Read 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.
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.
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.
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.
WARDENPOINT_API_TOKEN) — who you are. Every configuration tool uses it.Two steps in setting up an account need a human at a screen, and both stay that way on purpose:
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.
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.
MIT. See LICENSE.
Issues and contributions: https://github.com/WardenPoint/wardenpoint-mcp.