Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者提供的说明(英文原文)
Discover Playwright workflows, start runs, and inspect results in Playrunner Cloud.
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://playrunner.cloud/mcp在终端中运行这条命令
claude mcp add --transport http playrunner https://playrunner.cloud/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"playrunner": {
"url": "https://playrunner.cloud/mcp"
}
}
}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": {
"playrunner": {
"type": "http",
"url": "https://playrunner.cloud/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://playrunner.cloud/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
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。
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
注册名称已通过域名 playrunner.dev 验证(注册中心会核实域名所有权)
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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
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。
GitHub 仓库最后更新于–,最新版本(0.1.1)于2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。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。
同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser
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 agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
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。
Build with AI. Ship with evidence.
Playrunner turns your Playwright tests into reusable workflows
your team, your CI, and your coding agent can run.
Go from “the code is done” to “here is what passed”.
Run real browser checks. Follow the execution. Open the report, trace, or video.
Try Playrunner Cloud → · Run locally · Connect your agent · Read the docs
| Product overview · 61 seconds | Workflow & evidence · 51 seconds |
|---|---|
| A narrated tour of reusable workflows, agent connections, and sharding. | A fresh local workflow: two passing checks, the report, and screenshot evidence. |
Recorded with OBS and narrated with AI on 19 October 2026. The overview shows product examples; the workflow video tours a real local run’s saved configuration, passing report, and screenshot evidence. Video notes and transcripts →
A working-looking screen is a good start. A repeatable test with an inspectable result is something your team can build on.
Playrunner gives AI-assisted developers and test teams a shared place to run Playwright, reuse environments and browser sign-ins, and investigate failures. Keep your existing tests. Give them a workflow you can run again after the next change.
Connect a compatible MCP client to Playrunner Cloud, then ask:
Run my checkout smoke workflow once. Wait for it to finish, tell me which
tests passed or failed, and include the report links.
The agent can discover projects, create workflows, start runs, and inspect the returned evidence from the same conversation. Your saved workflows remain available to your teammates and CI.
Codex · Claude · Cursor · Gemini CLI · Antigravity · Grok
Connection steps and capabilities vary by client. Use a client with remote Streamable HTTP and OAuth support, or the CLI from a shell-capable agent. Choose your connection → Read the MCP guide →
Your agent / CI / schedule
↓ Environment → Playwright → Pass or fail → Your next action ↓ Report · traces · screenshots · video
Your tests, environments, runners, and next steps. One visible workflow.
| What you need | What Playrunner brings |
|---|---|
| A workflow the team can understand | A visual canvas for tests, conditions, branches, and follow-up actions. |
| Faster feedback from larger suites | Automatic sharding with capacity-aware planning and one merged report. |
| A choice of where tests run | Local Docker, managed cloud runners, and self-hosted execution. |
| A way to investigate a failure | Live node state and logs, plus Playwright reports and captured artefacts. |
| Tests that start signed in | Reusable Authentication Profiles, isolated by environment. |
| Less secret copying | Managed environments and credentials, referenced by your workflows. |
| A useful next step | Integrations for GitHub, Slack, Jira, AI analysis, webhooks, and more. |
Four shards. One merged report. Failed tests stay visible.
Start a saved workflow, stream its progress, and return a failing exit code when the workflow fails, is cancelled, or times out:
export PLAYRUNNER_URL='https://playrunner.cloud'
export PLAYRUNNER_API_KEY=' '
npx playrunner WORKFLOW_ID
Prefer workflows as code? Keep the definition alongside your application:
npx playrunner workflow create --file playrunner-workflow.json
CLI run guide → · Workflow definitions →
Need a signed-in browser? Reuse an Authentication Profile.
Capture a browser session interactively, then select the profile on your Playwright node. Playrunner restores the stored session for the execution without storing your identity-provider password.
For Playrunner Cloud, pair your computer with the authentication companion:
npm install --global playrunner@latest
playrunner login playrunner auth connect
Keep the companion open while capturing or refreshing the session. Hosted workflow runs can restore the encrypted stored state without the companion remaining connected.
Authentication Profiles tutorial →
git clone https://github.com/playrunner/playrunner.git
cd playrunner ./install-local.sh ./start-local.sh
On the first run, Playrunner opens the setup app. Follow the printed URL to confirm PostgreSQL and create the first admin account. With the default ports:
http://127.0.0.1:3100http://127.0.0.1:3100/setuphttp://127.0.0.1:3104/playrunner/The .env.local file is optional unless you want to change ports before the first run. If it is missing, ./start-local.sh creates it from the example. For the complete walkthrough, see the Getting Started guide.
Reopen setup or change the local defaults
To reopen the setup wizard:
./start-local.sh --setup
Remove .env.local as well if you want Playrunner to regenerate the local port and PostgreSQL defaults.
Run only the documentation site
cd docs
npm run start -- --port 3104
Then open http://127.0.0.1:3104/playrunner/.
| Start here | What you will find |
|---|---|
| Automatic sharding | Suite discovery, capacity-aware planning, and report merging |
| Integration reference | Available nodes, providers, and configuration |
| Runner architecture | Local, managed, and self-hosted execution |
| Workflow execution | How the API, orchestrator, and ephemeral runners coordinate |
| Contributing | Ways to extend runners, integrations, reporting, and the product |
Contributing? Run the package end-to-end tests.
Package E2E tests run the real Vite frontend and Playrunner API against the isolated playrunner_e2e PostgreSQL schema. Complete local setup first so apps/api/.env contains a working DATABASE_URL, and keep PostgreSQL running.
Install Chromium once on a new development machine:
npm exec --prefix apps/frontend -- playwright install chromium
Run the deterministic mock-provider suite:
npm run test:e2e:mock
Run one integration package by its Playwright tag:
npm run test:e2e:mock -- --grep @github
npm run test:e2e -- --grep @github
Mock mode still uses the real frontend, authentication, API, credential encryption, and database; only outbound provider boundaries may be faked. Live-provider scenarios are opt-in and require protected credentials:
npm run test:e2e:live
npm run test:e2e:live -- --grep @github
Set PLAYRUNNER_E2E_DATABASE_URL to use another PostgreSQL server. Open the latest report with npx playwright show-report, or read the Testing guide for architecture and package authoring details.
Try it on one workflow that matters to you. Tell us what worked, what failed, and what would make it useful every day.
Join the Discord · Report an issue · Star the project
Playrunner is source-available under the Playrunner Sustainable Use License, copyright © 2026 Concept AI PTY LTD.