Playwriter 是 AI Skill Hub 本期精选MCP工具之一。已获得 3.6k 颗 GitHub Star,综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
Playwriter 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
Playwriter 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/remorses/playwriter
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"playwriter": {
"command": "npx",
"args": ["-y", "playwriter"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 Playwriter 执行以下任务... Claude: [自动调用 Playwriter MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"playwriter": {
"command": "npx",
"args": ["-y", "playwriter"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Let your agents control your own Chrome, via CLI or MCP. Your logins, extensions, cookies — already there.
Other browser MCPs spawn a fresh Chrome — no logins, no extensions, instantly flagged by bot detectors, double the memory. Playwriter connects to your running browser instead. One Chrome extension, full Playwright API, everything you're already logged into.
npm i -g playwriter
playwriter -s 1 -e 'await page.goto("https://example.com")'
4. Install the skill so your agent knows how to use Playwriter:
npx -y skills add remorses/playwriter
Using the CLI with the skill (step 4 above) is the recommended approach. For direct MCP server configuration, see MCP.md.
playwriter browser start # starts Chrome for Testing/Chromium with bundled Playwriter extension
playwriter session new # creates stateful sandbox, outputs session id (e.g. 1)
playwriter -s 1 -e 'await page.goto("https://example.com")'
playwriter -s 1 -e 'console.log(await snapshot({ page }))'
playwriter -s 1 -e 'await page.locator("aria-ref=e5").click()'
Tip: Always use single quotes for-eto prevent bash from interpreting$, backticks, and\in your JS code. Use double quotes for strings inside the JS.
Each session has isolated state. Browser tabs are shared across sessions.
```bash
Variables in scope: page, context, state (persists between calls), require, and Node.js globals.
Persist data in state:
playwriter -e "state.users = await page.$$eval('.user', els => els.map(e => e.textContent))"
playwriter -e "console.log(state.users)"
Intercept network requests:
playwriter -e "state.requests = []; page.on('response', r => { if (r.url().includes('/api/')) state.requests.push(r.url()) })"
playwriter -e "await Promise.all([page.waitForResponse(r => r.url().includes('/api/')), page.click('button')])"
playwriter -e "console.log(state.requests)"
Set breakpoints and debug:
playwriter -e "state.cdp = await getCDPSession({ page }); state.dbg = createDebugger({ cdp: state.cdp }); await state.dbg.enable()"
playwriter -e "state.scripts = await state.dbg.listScripts({ search: 'app' }); console.log(state.scripts.map(s => s.url))"
playwriter -e "await state.dbg.setBreakpoint({ file: state.scripts[0].url, line: 42 })"
Live edit page code:
playwriter -e "state.cdp = await getCDPSession({ page }); state.editor = createEditor({ cdp: state.cdp }); await state.editor.enable()"
playwriter -e "await state.editor.edit({ url: 'https://example.com/app.js', oldString: 'const DEBUG = false', newString: 'const DEBUG = true' })"
Screenshot with labels:
playwriter -e "await screenshotWithAccessibilityLabels({ page })"
Connect programmatically (without CLI):
import { chromium } from 'playwright-core'
import { startPlayWriterCDPRelayServer, getCdpUrl } from 'playwriter'
const server = await startPlayWriterCDPRelayServer()
const browser = await chromium.connectOverCDP(getCdpUrl())
const page = browser.contexts()[0].pages()[0]
await page.goto('https://example.com')
await page.screenshot({ path: 'screenshot.png' })
// Don't call browser.close() - it closes the user's Chrome
server.close()
Or connect to a running server:
npx -y playwriter serve --host 127.0.0.1
const browser = await chromium.connectOverCDP('http://127.0.0.1:19988')
| Playwright MCP | Playwriter | |
|---|---|---|
| Browser | Spawns new Chrome | **Uses your Chrome** |
| Extensions | None | Your existing ones |
| Login state | Fresh | Already logged in |
| Bot detection | Always detected | Can bypass (disconnect extension) |
| Collaboration | Separate window | Same browser as user |
Note: Playwriter video recording is 100x more efficient than Playwright video recording, which sends base64 images for every frame.
| Playwright CLI | Playwriter | |
|---|---|---|
| Browser | Spawns new browser | **Uses your Chrome** |
| Login state | Fresh | Already logged in |
| Extensions | None | Your existing ones |
| Captchas | Always blocked | Bypass (disconnect extension) |
| Collaboration | Separate window | Same browser as user |
| Capabilities | Limited command set | Anything Playwright can do |
| Raw CDP access | No | Yes |
| Video recording | File-based tracing | Native tab capture (30–60fps) |
| BrowserMCP | Playwriter | |
|---|---|---|
| Tools | 12+ dedicated tools | 1 execute tool |
| API | Limited actions | Full Playwright |
| Context usage | High (tool schemas) | Low |
| LLM knowledge | Must learn tools | Already knows Playwright |
| Jetski | Playwriter | |
|---|---|---|
| Tools | 17+ tools | 1 tool |
| Subagent | Spawns for each browser task | Direct execution |
| Latency | High (agent overhead) | Low |
| Claude Extension | Playwriter | |
|---|---|---|
| Agent support | Claude only | Any MCP client |
| Windows WSL | No | Yes |
| Context method | Screenshots (100KB+) | A11y snapshots (5-20KB) |
| Playwright API | No | Full |
| Debugger/breakpoints | No | Yes |
| Live code editing | No | Yes |
| Network interception | Limited | Full |
| Raw CDP access | No | Yes |
| Built-in CDP | Playwriter | |
|---|---|---|
| Setup | Restart Chrome with special flags | Click extension icon |
| Confirmation dialog | Shows automation infobar agents can't dismiss | No blocking dialog |
| Autonomous agents | Interrupted by debug banners | Fully autonomous |
| User disruption | Banners appear mid-workflow | Silent — no interruption |
| Existing session | Must relaunch Chrome (lose state) | Uses your running browser |
Chrome's --remote-debugging-port flag shows a persistent "controlled by automated software" banner that agents cannot dismiss. It pops up in the middle of your workflow whenever you're using the browser. Playwriter runs silently — agents work autonomously without any confirmation dialogs, so you're never interrupted.
View relay server logs to debug issues:
```bash playwriter logfile # prints the log file path
高质量的MCP工具,自动化浏览器操作
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,Playwriter 在MCP工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | playwriter |
| 原始描述 | 开源MCP工具:Chrome extension & CLI to let agents control your browser. Runs Playwright snipp。⭐3.6k · HTML |
| Topics | playwrightmcp浏览器控制 |
| GitHub | https://github.com/remorses/playwriter |
| License | MIT |
| 语言 | HTML |
收录时间:2026-05-27 · 更新时间:2026-05-27 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端