UI Annotator MCP

Name: UI Annotator MCP
Author: mcpware

作者：mcpware版本 0.1.6i★ –i在你的电脑上运行

注册名称io.github.mcpware/ui-annotator-mcp

安装

概览

作者提供的说明（英文原文）

Annotates any web page with hover labels for AI assistants — zero extensions, any browser

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

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: 网页与浏览器

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）。
注册中心没有列出需要填写的密钥。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "ui-annotator": {
      "command": "npx",
      "args": [
        "-y",
        "@mcpware/ui-annotator"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add ui-annotator -- npx -y @mcpware/ui-annotator

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": {
    "ui-annotator": {
      "command": "npx",
      "args": [
        "-y",
        "@mcpware/ui-annotator"
      ]
    }
  }
}

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": {
    "ui-annotator": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mcpware/ui-annotator"
      ]
    }
  }
}

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6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 mcpware 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“网页与浏览器”中的其他服务器比较i

星标数多于此分类中其他 878 个服务器的 0%
发布到注册中心的时间比此分类中其他 878 个服务器的 6% 更新
基础检查结果等于或优于此分类中其他 878 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

UI Annotator MCP 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？

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（0.1.6）于8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：Browser Use, Chrome DevTools MCP, MCP Server Browser

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

Browser Use

作者：browser-use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

电脑或云端★ 120,087MIT17天前更新

安装

Chrome DevTools MCP

作者：ChromeDevTools

MCP server for Chrome DevTools

在你的电脑上运行★ 54,821Apache-2.015天前更新

安装

MCP Server Browser

作者：bytedance

MCP server for browser use access

在你的电脑上运行★ 39,550Apache-2.014个月前更新

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。

UI Annotator MCP

English | 廣東話

Bridge the gap between what you see and what AI can reference — in any browser, zero extensions.

The only tool that puts visible labels on every web element. Hover any element, see its name. Tell your AI assistant "make the sidebar wider" — it knows exactly which element you mean. No screenshots, no CSS selectors, no miscommunication.

Why It Matters

Dramatically improves AI-driven UI design and iteration. The pain: telling AI "move that button next to the search bar" never works because the AI can't see your page. UI Annotator fixes this — hover over any element and its component name appears as a label. Now you say "move SearchButton below NavBar" and Claude edits the right component instantly. No browser extensions, works with any framework. The workflow becomes: open page → hover to identify elements → describe changes using real component names → Claude edits → refresh and repeat. Turns a frustrating back-and-forth into a fluid design loop.

The Problem

When reviewing a web UI with an AI coding assistant, the hardest part isn't the code change — it's describing which element you want changed.

"That thing on the left... the second row... no, the one with the icon..."

You don't know what it's called. The AI doesn't know what you're pointing at. You waste time on miscommunication instead of shipping.

The Solution

Open your page through the annotator proxy. Hover any element — instantly see its name, CSS selector, and dimensions. Now you both speak the same language.

# Start the MCP server

npx @mcpware/ui-annotator

Open in ANY browser

http://localhost:7077/localhost:3847

That's it. No browser extensions. No code changes. No setup. Works in Chrome, Firefox, Safari, Edge — any browser.

How It Works

Your app (localhost:3847)

│ ▼ ┌─────────────────────┐ │ UI Annotator Proxy │ ← Reverse proxy on port 7077 │ (MCP Server) │ └─────────────────────┘ │ ▼ Proxied page with hover annotations injected │ ├──► User sees: hover overlay + tooltip with element names └──► AI sees: structured element data via MCP tools

The proxy fetches your page, injects a lightweight annotation script, and serves it back. The script scans the DOM, identifies named elements, and reports them to the MCP server. Your AI assistant queries the server to understand what's on the page.

Features

Hover Annotations

Hover any element to see:

Element name (pink) — the human-readable identifier
CSS selector (monospace) — the technical reference
Content preview — what text the element contains
Dimensions — width × height in pixels

Inspect Mode

Click the Inspect button in the toolbar (or let your AI toggle it). In inspect mode:

Click any element → copies its name to clipboard
All page interactions are paused (clicks don't trigger buttons/links)
Click Inspect again to return to normal mode

Collapsible Toolbar

The toolbar sits at the top center of the page showing:

Inspect toggle button
Element count
Helpful subtitle explaining what to do
Collapse button (▲) to minimize when not needed

MCP Tools for AI

Tool	What it does
`annotate(url)`	Returns proxy URL for user to open in any browser
`get_elements()`	Returns all detected UI elements with names, selectors, positions
`highlight_element(name)`	Flash-highlights a specific element so user can confirm
`rescan_elements()`	Force DOM rescan after page changes
`inspect_mode(enabled)`	Toggle inspect mode remotely

Why Not Just Use DevTools?

	Browser DevTools	UI Annotator
Target user	Frontend developers who know the DOM	Anyone — QA, PM, designer, junior dev
Learning curve	Need to understand DOM tree, CSS selectors, box model	Hover and read — zero learning
Communication	"The `div.flex.gap-4` inside the second child of..."	"The `sidebar`"
Language	CSS/HTML technical terms	Human-readable names
Setup	Teach people to open DevTools + navigate the DOM	Open a URL
AI integration	None — AI can't see what you're inspecting	MCP — AI sees the same element names you do

DevTools is for debugging. UI Annotator is for communication — giving humans and AI a shared vocabulary for UI elements.

Why Not Use Existing Tools?

None of these do what UI Annotator does — live visual labels on every element via reverse proxy:

Tool	Approach	Why we're different
browser-use (82K⭐)	AI automation framework	Automates browsers, doesn't label elements for humans. Different use case entirely.
Chrome DevTools MCP (31K⭐)	DOM snapshot + element UIDs	AI can inspect, but humans don't see visual annotations. No shared vocabulary.
Playwright MCP (29K⭐)	Accessibility tree snapshot	Returns structured text, no visual overlay. Truncates important context.
OmniParser	Screenshot + CV detection	Screenshot-based, not live DOM. ~40% accuracy on hard benchmarks.
MCP Pointer (526 users)	Chrome extension + MCP	Requires Chrome extension. Human clicks to select — no hover overlay.
Agentation	npm embedded in your app	Requires code changes. React 18+ dependency. Not zero-config.
Vibe Annotations	Chrome extension	Extension-based, developer-only annotation workflow.

Feature Comparison

Feature	UI Annotator	MCP Pointer	Agentation	Cursor	Chrome DevTools MCP
Visual hover annotation	Yes	No	Partial	Yes (IDE only)	No
Shows element names	Yes	Yes	Yes	No (high-level)	Programmatic
Shows dimensions	Yes	Yes	Yes (Detailed)	Yes	Programmatic
MCP server	Yes	Yes	Yes	No	Yes
Zero browser extensions	Yes	No	Yes	N/A	No
Zero code changes	Yes	Yes	No	N/A	Yes
Any browser	Yes	Chrome only	Desktop only	Cursor only	Chrome only
Zero dependencies	Yes	Chrome ext	React 18+	Cursor	Chrome
Click to copy element name	Yes	No	No	No	No

Architecture

Zero external dependencies

Reverse proxy: Node.js built-in http module
MCP server: @modelcontextprotocol/sdk (stdio transport)
Communication: HTTP POST (browser → server) + GET polling (server → browser)
No WebSocket, no Express, no browser extension

How the proxy works

User requests localhost:7077/localhost:3847
Proxy fetches http://localhost:3847
For HTML responses:

Injects fetch() / XMLHttpRequest interceptor (rewrites API paths through proxy)
Rewrites href="/..." and src="/..." attributes to route through proxy
Injects annotation script before

For non-HTML (CSS, JS, images): passes through directly
Strips Content-Security-Policy headers to allow injected script

How annotation works

Script scans DOM for elements with id, class, semantic roles, or interactive roles
On hover: positions overlay border (follows border-radius) + positions tooltip (always within viewport)
Reports all detected elements to server via POST /__annotator/elements
Polls GET /__annotator/commands every second for server instructions (highlight, rescan, inspect toggle)
MutationObserver auto-rescans when DOM changes

Quick Start

With Claude Code

# Add as MCP server

claude mcp add ui-annotator -- npx @mcpware/ui-annotator

Then in conversation:

"Annotate my app at localhost:3847"

→ AI returns proxy URL, you open it, hover elements, discuss changes by name

Manual

npx @mcpware/ui-annotator

Proxy starts on http://localhost:7077

Open http://localhost:7077/localhost:YOUR_PORT

Environment Variables

Variable	Default	Description
`UI_ANNOTATOR_PORT`	`7077`	Port for the proxy server

More from @mcpware

Project	What it does	Install
[Instagram MCP](https://github.com/mcpware/instagram-mcp)	23 Instagram Graph API tools — posts, comments, DMs, stories, analytics	`npx @mcpware/instagram-mcp`
[Claude Code Organizer](https://github.com/mcpware/claude-code-organizer)	Visual dashboard for Claude Code memories, skills, MCP servers, hooks	`npx @mcpware/claude-code-organizer`
[Pagecast](https://github.com/mcpware/pagecast)	Record browser sessions as GIF or video via MCP	`npx @mcpware/pagecast`
[LogoLoom](https://github.com/mcpware/logoloom)	AI logo design → SVG → full brand kit export	`npx @mcpware/logoloom`

License

MIT

UI Annotator MCP

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“网页与浏览器”中的其他服务器比较i

常见问题

替代选择

Browser Use

Chrome DevTools MCP

MCP Server Browser

作者的 README

UI Annotator MCP

Why It Matters

The Problem

The Solution

Open in ANY browser

How It Works

Features

Hover Annotations

Inspect Mode

Collapsible Toolbar

MCP Tools for AI

Why Not Just Use DevTools?

Why Not Use Existing Tools?

Feature Comparison

Architecture

Zero external dependencies

How the proxy works

How annotation works

Quick Start

With Claude Code

Then in conversation:

"Annotate my app at localhost:3847"

→ AI returns proxy URL, you open it, hover elements, discuss changes by name

Manual

Proxy starts on http://localhost:7077

Open http://localhost:7077/localhost:YOUR_PORT

Environment Variables

More from @mcpware

License