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

Pixelcheck

作者:xcodethink版本 2.1.0i★ –i在你的电脑上运行
注册名称io.github.xcodethink/pixelcheck

安装

概览

作者提供的说明(英文原文)

Real eyes and hands on the web for AI agents. MCP-first. Local-first. Vendor-agnostic.

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:ANTHROPIC_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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": {
    "pixelcheck": {
      "command": "npx",
      "args": [
        "-y",
        "pixelcheck"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add pixelcheck --env ANTHROPIC_API_KEY=your-value -- npx -y pixelcheck

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": {
    "pixelcheck": {
      "command": "npx",
      "args": [
        "-y",
        "pixelcheck"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "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": {
    "pixelcheck": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "pixelcheck"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "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

  • ANTHROPIC_API_KEY 机密 必填 env
    Anthropic API key. Required for LLM-backed primitives (judge, extract-with-schema) and the audit_url / explore_url presets. Meta tools (list_personas, list_scenarios, get_last_report) work without it.

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 xcodethink 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 32364 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32364 个服务器的 21% 更新
  • 基础检查结果等于或优于此分类中其他 32364 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

Pixelcheck 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:ANTHROPIC_API_KEY

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(2.1.0)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, AlphaGrowth

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昨天更新
安装

AlphaGrowth

作者:alphagrowth.io

Free crypto data for AI agents: TVL, fees, funding, investors, yields, token unlocks, DAO treasuries

在云端运行今天更新
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。

PixelCheck

Real eyes and hands for the AI agent that's writing your frontend.

Drop-in MCP server. Five browser primitives. Eighteen personas across fifteen countries.

Local-first · Vendor-agnostic · MIT-licensed · Yours to own.

Quick Start → · Primitives · MCP Server · Audit Preset · Why Not E2E · Changelog


If PixelCheck helps you, [give it a star](https://github.com/xcodethink/pixelcheck/stargazers) — it helps others discover the project.


Right now, you're a screenshotting middleman.

Your AI agent is writing 80% of your frontend. It's fast. It's good at code. But it's blind.

  • It writes a button. You open Chrome to check it rendered right. Paste a screenshot back. Ask for the fix.
  • It tweaks the OAuth flow. You log in to verify it didn't silently break. Again. Sixth time this month.
  • It updates the Japanese strings. A user emails: "half the page is in English." You didn't catch it.
  • It rewrites checkout. You walk through it on iPhone, Android, iPad just to *feel* whether step 3 is confusing.
  • It changes the Arabic layout. RTL didn't propagate. You don't notice for two days.

You become the bridge. The agent has thoughts. You have a browser. The two never meet. Hours of your week, every week, indefinitely.

PixelCheck is the bridge.

A single MCP server. Five primitives. Drop it in once — your agent has eyes and hands.

see(url, opts)              snapshot a page (DOM + screenshot + console + network)

act(url, steps) execute an action sequence (semantic + selector + Computer Use) extract(url, schema) pull structured data matching a Zod / JSON schema judge(url, rubric) score a page against a rubric ("is this dark-pattern free?") compare(a, b, criteria) A/B comparison of two URLs (incl. blind mode)

Now your agent navigates. Sees rendered HTML. Reads console errors. Clicks. Fills. Judges. Compares. Without ever leaving its workflow — drop into Claude Desktop, Cursor, Cline, Continue, Zed, or Claude Code via four lines in ~/.mcp.json.

npm install -g pixelcheck        # browser binary auto-installs on install

pixelcheck doctor # verify environment (--fix self-heals) pixelcheck-mcp # MCP server (stdio transport)

// ~/.mcp.json

{ "mcpServers": { "pixelcheck": { "command": "pixelcheck-mcp", "env": { "ANTHROPIC_API_KEY": "sk-ant-..." } } } }

Restart your client. Your agent has eyes.

Three promises that aren't going anywhere.

Local-first. PixelCheck runs entirely on your machine. The only outbound network destination is the LLM provider your agent already uses. Screenshots, DOMs, business flows, OAuth tokens, customer URLs — they stay yours. Zero telemetry. Zero remote storage. Zero SaaS sign-up. The audit data hits Anthropic only when the vision critic actively scores a screenshot, and you opt in once on first run.

Vendor-agnostic. Works with Claude today; multi-provider abstraction (OpenAI, Gemini, Ollama-local) is on the v1.x roadmap and your agent will switch with one config flag. The reason is simple: AI tools that lock you to a single LLM provider die in 2026. PixelCheck is the antidote.

Yours to own. MIT license. Source-available. No paid tier. No "Pro" upgrade path. No commercial fork waiting in the wings. The 1858-test, 29-ADR, 30-published-schema product in this repo *is* the entire product. There's no premium edition behind a sign-up wall — never was, never will be.


The Audit Preset — when *you* want to be the user, not the bridge

The five primitives compose into something more powerful when you're the operator: PixelCheck bundles an 18-persona / 15-country audit preset on top of the primitives — a CLI-first composition that runs "eighteen real users review your product" after every deployment.

You deploy. Tests pass. CI is green. But then:

  • A Japanese user opens your app and sees half-translated English strings mixed into the UI
  • A user on a budget Android phone in Nigeria waits 12 seconds for your hero image to load
  • Your OAuth login flow silently breaks — again — for the 6th time in 10 deployments
  • The Arabic version renders left-to-right, making the entire layout unusable
  • Your "Trusted" score badge shows green while the copy says "stop interacting immediately"

No E2E test catches these. They test whether code runs. They don't test whether the product *works* for real humans in real contexts.

The audit preset launches real Chromium browsers as 18 different users from 17 countries, walks through your product's core flows, and delivers a verdict — like having a senior PM, QA engineer, and UX reviewer audit every deployment, in every language, on every device class.

pixelcheck init projects/my-app --name "My App" --url "https://myapp.com"

pixelcheck run --project projects/my-app

Output: a structured report with per-step screenshots, video recordings, network logs, WCAG accessibility violations, and AI-scored ratings across 6 dimensions — served as JSON, HTML dashboard, or Markdown.

How It Works

For each (persona x scenario) combination:

 1. Launch Chromium with device-accurate fingerprint

(viewport, locale, timezone, UA, regional proxy) |

  1. Execute scenario steps semantically via Stagehand 3.x ("click the sign-up button" not "click #btn-37") |
  2. 5-Layer Reliability Stack ensures 98%+ step success Stability Gate -> LLM Rewrite -> Selector Discovery -> Auto Selector -> Computer Use |
  3. Claude Vision Critic + axe-core score each checkpoint on 18 dimensions completion | localization | visual_polish | trust_signals | accessibility | ... |
  4. Critical steps escalate to Computer Use for pixel-level review |
  5. Generate report: JSON + HTML dashboard + Markdown + video + HAR

Why Not E2E Tests?

Traditional E2EPixelCheck (audit preset)
What it testsCode logicProduct experience
Decision makingHardcoded selectorsAI reads the page like a human
Assertion styleexpect(text).toBe("Welcome")*"As a Japanese free-tier user, is this CTA clear and fully localized?"*
When UI changesSelectors break, tests failSemantic instructions adapt automatically
Failure outputStack traceScreenshots + video + 6-dimension score + specific UX issues
What it catchesFunctional bugsi18n gaps, UX friction, visual regressions, trust issues, accessibility violations, cultural mismatches

PixelCheck's audit preset is not a replacement for E2E tests. It's what runs *after* them — the layer between "code works" and "product is good."

Compared to existing tools

PixelCheckPlaywrightCypressStagehandBrowserbase
MCP server out of the box✅❌❌❌❌
Browser primitives an AI agent can call5 (see / act / extract / judge / compare)n/a (low-level page API)n/a3 (act / extract / observe)n/a
AI vision (judge / critique)✅ via Anthropic❌❌❌ (action-only)❌
Built-in personas18 across 15 countries❌❌❌❌
Localised report (5 languages)✅❌❌❌❌
WCAG 2.x audit + SARIF export✅ (axe-core + GitHub Code Scanning ready)manual via pluginsmanual via plugins❌❌
Local-first by default✅ (your machine, your API key)✅✅✅ (or Browserbase)❌ (cloud-only)
Vendor lock-innone (MIT, no SaaS)nonenoneoptional Browserbasefull (paid SaaS)
LLM providerswap any (Anthropic default; primitives are vendor-agnostic)n/an/aswap anyn/a
Open source✅ MIT✅ Apache 2.0✅ MIT✅ MITpartial

TL;DR: Playwright / Cypress are deterministic browser drivers — you tell them exactly what to click. Stagehand wraps Playwright with natural-language act / extract so an agent can drive a browser. PixelCheck is the next layer up: an MCP-shaped surface that gives any AI agent vision (see / judge / compare) on top of action (act / extract), with audit presets composed across personas. Use Playwright for unit-style tests; use Stagehand if you only need an agent to fill forms; use PixelCheck when the agent needs to *evaluate* a UI, not just operate it.

Personas

18 built-in personas covering real-world user diversity. The Subscriber Tier column is the persona's subscription level *in the SaaS you're auditing* (Free user / Pro subscriber / Power-user / enterprise) — used so PixelCheck can audit your product's tiered features (paywalls, upsells, gated UI, Pro-only flows). PixelCheck itself is MIT-licensed and 100% free with no paid tier or commercial fork.

PersonaCountryLanguageDeviceSubscriber Tier (in your app)
US college studentUSEnglishiPhone 14Free
Tokyo housewifeJPJapaneseMacBook ProPro
Berlin security analystDEGermaniPad ProPower
Shanghai studentCNChineseXiaomi AndroidFree
Sao Paulo freelancerBRPortugueseDesktopFree
Riyadh businessmanSAArabic (RTL)iPhone 15 ProPro
Mumbai office workerINHindiBudget AndroidFree
Seoul designerKRKoreanQHD DesktopPro
Hanoi studentVNVietnameseAndroidFree
Moscow engineerRURussian (Cyrillic)Windows DesktopFree
Lagos entrepreneurNGEnglishBudget TecnoFree
Mexico City teacherMXSpanish (LATAM)AndroidFree
Jakarta gig workerIDBahasa IndonesiaAndroidFree
US retired teacher (72yo)USEnglishiPadFree
London security analystUKEnglishDesktopPower
Paris marketing managerFRFrenchiPhoneFree
Bangkok studentTHThaiiPhone SEFree

| Taipei engineer | TW | Traditional Chinese | iPad

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx