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

PlaywrightGen

作者:hmamut39版本 1.0.0i★ –i在云端运行
注册名称com.playwrightgen/playwrightgen

安装

概览

作者提供的说明(英文原文)

Approved test intent, reviewed Playwright automation and run evidence, inside your editor.

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 网页与浏览器
  • 你需要填写:Authorization

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

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 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http playwrightgen https://playwrightgen.com/api/mcp --header 'Authorization: your-value'

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": {
    "playwrightgen": {
      "url": "https://playwrightgen.com/api/mcp",
      "headers": {
        "Authorization": "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": {
    "playwrightgen": {
      "type": "http",
      "url": "https://playwrightgen.com/api/mcp",
      "headers": {
        "Authorization": "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。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

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

  • Authorization 机密 必填 HTTP header
    Bearer , where the token is the personal editor token from your project's Automation page in PlaywrightGen. It speaks for you, proposes but never approves, and stops working when your access ends.

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

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

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

    注册名称已通过域名 playwrightgen.com 验证(注册中心会核实域名所有权)

  • … 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

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 876 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 876 个服务器的 42% 更新
  • 基础检查结果等于或优于此分类中其他 876 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

PlaywrightGen 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:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于2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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

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★ 120,087MIT16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-2.014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。

PlaywrightGen

Playwright tests written from your real page, run until they pass, and kept as evidence a person approved.

Live at playwrightgen.com.

Writing a Playwright test is no longer the hard part — every editor has an assistant that will do it. What none of them keep is the thing an audit, a release decision or a customer actually asks for: which behaviour was agreed, by whom, at which version, and what the last run proved. That record is what this product is.

How it works

Two ways in, one chain.

The free tools need no account. Say what to test, paste a public URL, and PlaywrightGen reads the page, writes a test from its real accessibility tree, runs it in a remote browser, and fixes the failing step until it passes. You get working code and the run that proves it, signed so the evidence survives if you later bring it into a workspace. Nothing durable is claimed until you do.

The workspace turns that into a record:

  1. A Requirement is drafted, reviewed and approved. Approving writes an immutable version.
  2. Test Cases carry objective, steps and expected results, are approved the same way, and link to the Requirements they verify.
  3. Automation is generated from an approved Test Case version, validated against deterministic rules, proven on the live page, and then approved by a person — never by the generator and never by an agent.
  4. Run evidence arrives from your own CI. Your tests run on your runners, against your environment, with your secrets; only a bounded summary of results is sent. A [pwg:...] marker in the test title is what ties a result to the approved version it is evidence for.
  5. A proof link shares the result outside the team: a signed URL anybody can open, with an acceptance signature and a downloadable file they can keep.

Every claim on that chain names its source. A requirement with no passing test says so; a run that was skipped says it proved nothing; a report that was bounded says how much it did not cover.

What holds it honest

  • A prompt is a request; a validator is a rule. Every promise a prompt makes has a deterministic check behind it: no focused tests, no fixed sleeps, no credentials in the file, no request to an address that is not the application under test, no Node capability a browser test has no business reaching for.
  • A repair may not weaken a test. The quickest way to make a failing assertion pass is to delete it, so a fix that checks less than the test it was given is refused.
  • Separation of duties. The person who proposed something cannot be the one who approves it; the MCP server can propose and send code and has no capability to approve, accept, share or delete, which a test enforces by reading the import graph.
  • Every AI surface is measured. npm run evals grades each prompt deterministically against structured output and compares the run with a hand-blessed baseline.

For agents (MCP)

PlaywrightGen is an MCP server, so Claude Code, Cursor or Copilot can read the approved intent instead of guessing: sixteen tools covering requirements, test cases, approved automation, recent failures, writing and proving a test on a live page, and proposing drafts for review. An agent gets exactly the rights of the person whose token it used.

Running it locally

npm install

npm run dev

Then npm run test:run for the suite, npm run typecheck, npm run lint, and npm run build. Integration tests need TEST_DATABASE_URL pointing at a database used for nothing else; they refuse anything that looks like production.

Built with Next.js, TypeScript, PostgreSQL (Prisma), Clerk, Tailwind, Playwright, OpenAI and Stripe.

Environment

Runtime:

  • DATABASE_URL — PostgreSQL for the application.
  • DIRECT_URL — optional direct connection preferred by migration commands.
  • TEST_DATABASE_URL — a separate database for integration tests. It never falls back to either of the above.
  • NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY, CLERK_SECRET_KEY, CLERK_WEBHOOK_SIGNING_SECRET
  • OPENAI_API_KEY — server-only. Per-surface model overrides exist, for example OPENAI_REQUIREMENT_REVIEW_MODEL and OPENAI_FAILURE_ANALYSIS_MODEL.
  • UPSTASH_REDIS_REST_URL, UPSTASH_REDIS_REST_TOKEN — the per-minute and per-day AI allowances.
  • RUNNER_INGEST_SECRET — signs live-run receipts, so a receipt proves a run of that exact code.
  • BROWSERLESS_API_KEY — the remote browser the free tools and proving use.
  • EXAMPLE_EVIDENCE_PROJECT_ID — optional: the one project whose evidence is published publicly at /proof/example.

GitHub integration (separate values per environment):

  • GITHUB_APP_ID, GITHUB_APP_PRIVATE_KEY, GITHUB_APP_SLUG, GITHUB_APP_CLIENT_ID, GITHUB_APP_CLIENT_SECRET, GITHUB_WEBHOOK_SECRET
  • GITHUB_SETUP_STATE_SECRET — at least 32 characters, distinct from every other secret.
  • NEXT_PUBLIC_APP_URL — the exact origin the GitHub callback returns to.

The App is held to a permission ceiling, checked on every installation and refused if exceeded: metadata: read, contents: read and write, pull_requests: read and write, issues: read. Contents write is what opens a pull request with approved test code; pull-requests write is what leaves the evidence note on it; issues read is what drafts a requirement from a ticket. User and installation tokens are transient and are never logged or stored.

Clerk webhooks go to /api/webhooks/clerk with CLERK_WEBHOOK_SIGNING_SECRET set locally and in the deployment, subscribed to:

  • user.created, user.updated, user.deleted
  • organization.created, organization.updated, organization.deleted
  • organizationMembership.created, organizationMembership.updated, organizationMembership.deleted

Local webhook delivery needs a secure tunnel to the local application. Never put a webhook secret in documentation or source control.

Operations

Reconcile one Clerk organization, dry-run by default:

npm run clerk:reconcile -- --organization-id org_example

or

npm run clerk:reconcile -- --slug workspace-slug

Add --apply after reading the dry-run counts. It never sweeps every organization.

Database:

npm run prisma:format

npm run prisma:validate npm run prisma:generate npm run prisma:migrate:dev npm run test:database

Never commit credentials, secrets, .env or .env.local. Never point a development migration or reset command at production.

Where the work is written down

  • docs/ROADMAP.md — what shipped, what is next, and what was deliberately not done.
  • docs/DECISIONS.md — architecture decisions, each with its reason.
  • docs/ARCHITECTURE.md, docs/PRODUCTION_READINESS.md — the shape of the system and the gates before a production deploy.
  • examples/ci-proof — a disposable repository that proves the CI loop end to end.
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