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)
MCP server for desktop notifications over stdio
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。
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": {
"notifications": {
"command": "npx",
"args": [
"-y",
"@topvisor/mcp-notifications"
]
}
}
}在终端中运行这条命令
claude mcp add notifications -- npx -y @topvisor/mcp-notifications粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"notifications": {
"command": "npx",
"args": [
"-y",
"@topvisor/mcp-notifications"
]
}
}
}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": {
"notifications": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@topvisor/mcp-notifications"
]
}
}
}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。
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
发布者(topvisor)不是仓库所有者(Artemeey);可能是其他人代为上架的
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 0 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。
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(1.0.3)于9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, Python MCP
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.
Local-only Python MCP server for the Files.com API.
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。
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mcp-notifications lets your MCP agent send desktop notifications for completed tasks, failures, and important updates.
This is especially useful for console AI agents, because they usually have no built-in notifications by default.
No more checking chats every minute. No more silent agent responses. Just visible, reliable feedback on your desktop. 🔔
You give tasks to several AI agents, then wait and keep checking who already replied.
With mcp-notifications, this gets simpler: the agent can notify you on desktop when it needs your input or when work is done.
node-notifier.Requirements:
>=20>=10npm i -g @topvisor/mcp-notifications
Executable name (use this in MCP config):
mcp-notifications
mcp-notifications is an MCP server entrypoint (stdio), not a one-shot notification command.
Add this to ~/.codex/config.toml:
[mcp_servers.notifications]
enabled = true command = "mcp-notifications" args = []
Restart Codex after config update.
Add MCP server config to your Claude client config file:
{
"mcpServers": { "notifications": { "command": "mcp-notifications", "args": [] } } }
Then restart Claude client.
There are two approaches to notifications: manual and automatic.
Choose the one that works better for your workflow.
In a task where you want to be notified, explicitly ask the agent. Example:
Count files in the project; after the task is fully complete, notify me with sound.
You can also define sound, topic, and frequency rules inside a specific chat. Example:
Notify me about your replies without sound, include the reply text, and use title: "Large Refactoring"
Automatic notifications can be configured globally or per project.
Example instruction to enable automatic notifications for agent replies:
Send `send_notification` after your replies (actual task time >5 seconds or many steps); `play_sound: false`; `app_id: '{put your chat name here}'`
Time is a rough threshold and depends on model behavior, so adjust this instruction to your own preferences.
You can also enable notifications in specific skills. Example for a Review skill:
After the review, run `send_notification` with a short summary; `play_sound: true`; `app_id: 'Reviewer {put task id here}'`
send_notificationInput:
title string (required)message string (required)play_sound boolean (optional, default: false)icon string (optional, absolute or relative path to image file)app_id string (optional, Windows App User Model ID for toast source)Example:
{
"title": "Codex", "message": "Deployment completed successfully", "play_sound": true, "icon": "/opt/mcp-notifications/icons/custom.png", "app_id": "Topvisor.Codex" }
app_id controls the source shown in Windows toast notifications.app_id is not set, Windows may show SnoreToast as the source.app_id in each tool call, or set MCP_NOTIFICATIONS_APP_ID as an environment variable for the server.You can select notification transport via env MCP_NOTIFICATIONS_BACKEND:
auto (default): uses powershell in WSL if available, otherwise node-notifierpowershell: force powershell.exe Windows toast transport (recommended for WSL)node-notifier: force node-notifier packageUse these messages directly in chat:
Check send_notification
Send a notification without sound: title "Test", message "Check"
Send a notification with sound: title "Test", message "Check"
Send a notification with app_id "Topvisor.Codex": title "Test", message "Check"
Send 3 test notifications in a row without sound
Expected tool result in logs/response:
Notification queued
play_sound: true.The AI agent is waiting for you: