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)
Official Browserless MCP server: browser automation, scraping, screenshots and PDFs for AI agents.
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。
BROWSERLESS_TOKEN, BROWSERLESS_API_URL, Authorization, x-browserless-api-url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。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"browserless": {
"command": "npx",
"args": [
"-y",
"@browserless.io/mcp"
],
"env": {
"BROWSERLESS_TOKEN": "your-value",
"BROWSERLESS_API_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http browserless https://mcp.browserless.io/mcp --header 'Authorization: your-value' --header 'x-browserless-api-url: your-value'claude mcp add browserless --env BROWSERLESS_TOKEN=your-value --env BROWSERLESS_API_URL=your-value -- npx -y @browserless.io/mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"browserless": {
"url": "https://mcp.browserless.io/mcp",
"headers": {
"Authorization": "your-value",
"x-browserless-api-url": "your-value"
}
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"browserless": {
"command": "npx",
"args": [
"-y",
"@browserless.io/mcp"
],
"env": {
"BROWSERLESS_TOKEN": "your-value",
"BROWSERLESS_API_URL": "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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"browserless": {
"type": "http",
"url": "https://mcp.browserless.io/mcp",
"headers": {
"Authorization": "your-value",
"x-browserless-api-url": "your-value"
}
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"browserless": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@browserless.io/mcp"
],
"env": {
"BROWSERLESS_TOKEN": "your-value",
"BROWSERLESS_API_URL": "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。
BROWSERLESS_API_URL envAuthorization 机密 HTTP headerx-browserless-api-url HTTP header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。
服务器要求先登录,才会列出它的工具。
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 browserless.io 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
在 253 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
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 3 项适用的基础检查中通过了 3 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。
你需要填写:BROWSERLESS_TOKEN, Authorization
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(1.45.0)于昨天进入注册中心。
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。
MCP (Model Context Protocol) server for Browserless.io — expose the Browserless smart scraper API to LLM clients like Claude Desktop, Cursor, VS Code, and Windsurf.
Get an API token from browserless.io (free tier available), then point your MCP client at the hosted server:
{
"mcpServers": { "browserless": { "url": "https://mcp.browserless.io/mcp?token=your-token-here" } } }
No local install — see Configuration for per-client snippets.
| Tool | Description |
|---|---|
browserless_smartscraper | Scrape a single webpage and return its content as markdown or HTML, or AI-extracted JSON and summaries. Handles JavaScript-heavy pages and anti-bot measures automatically. For content across multiple pages, use browserless_crawl; to list a site's URLs, use browserless_map. |
browserless_search | Search the web using Browserless and optionally scrape each result. Supports web, news, and image search with geo-targeting and time filters. |
browserless_map | Discover and map all URLs on a website. Scans via sitemaps and link extraction. Returns URLs with optional titles and descriptions. Useful for site audits and content discovery. |
browserless_crawl | Crawl a website and scrape every discovered page. Supports depth control, path filtering, sitemap strategies, and configurable scrape options. Returns scraped content and metadata for each page. |
browserless_performance | Run Lighthouse audits on any URL. Returns category scores inline and saves the full JSON report outside the conversation: a local path (stdio) or authenticated single-use download URL (HTTP). Download to disk and inspect only needed fields with jq; files expire after 15 minutes or when the MCP session ends. Optionally filter by category, emulate a mobile or desktop device, supply a custom Lighthouse config, or supply performance budgets. |
browserless_function | Execute custom Puppeteer JavaScript on the Browserless cloud. The function receives a page object and optional context; return { data, type } to control the payload and Content-Type. |
browserless_export | Export a webpage via the Browserless /export API. Fetches the URL and returns its native content (HTML, PDF, image, etc.) with automatic content-type detection. |
browserless_agent | Drive a persistent browser session via a ReAct loop: snapshot the page, plan, batch interactions (click, type, scroll, evaluate, etc.), and re-snapshot. Uses ref-based selectors derived from snapshots, supports multi-tab workflows, screenshots, captcha solving, live URLs, and file upload/download (captured downloads auto-surface as handles; bytes never enter context). |
browserless_skill | Load an on-demand recipe for a non-trivial page mechanic (shadow DOM, cookie consent, modals, captchas, dynamic content, snapshot misses, screenshots, tabs). Companion to browserless_agent. |
browserless_profiles | List the authentication profiles saved for the current token, with cookie and origin counts. Pass a profile's name as profile to another tool to reuse its logged-in state. |
browserless_account | Read the account behind the current token: plan, unit balance, billing period, and API key names. Never returns API token values. |
browserless_usage | Read request and unit consumption: successes, errors, timeouts, queueing, peak concurrency, captchas, proxy bytes and units. Optionally scoped to specific API keys. |
browserless_sessions | Inspect active/persistent sessions, recordings, and integrations. action: "replay" prepares a recording and offline player. On the full surface, MCP Apps clients also receive a viewRef for browserless_show. |
browserless_show | Display an owned, previously prepared session replay, screenshot gallery, or recorded video inline. Full surface only; never repeats the capture, recording download, or browser operation. |
browserless_logs | Read Browserless's own record of recent requests: what was attempted, whether it failed, why it stopped, how long it took and what it cost. The tool for diagnosing a run that failed on the Browserless side. Available window is plan-dependent. |
On the full surface, an MCP Apps client uses two calls:
browserless_sessions({ action: "replay", sessionId: "<recorded-session>" })
// Returns a compact summary, viewRef, expiresAt, and offline-player instructions. browserless_show({ viewRef: " " }) // Renders the prepared replay inline; does not repeat the recording download.
The player starts paused and includes play/pause, a keyboard-accessible timeline, rewind, playback speed, skip-inactive, and fullscreen where the host permits it. Controls follow the host's light/dark theme; the recorded page retains its own appearance. UI scripts, styles, and rrweb are bundled, with no runtime CDN. External assets referenced by recordings are blocked by the widget's CSP; embedded assets remain available.
Replay events travel in widget-only metadata. Complete results above 2 MiB use browserless_view_data, an app-only reader with bounded gzip/identity pages (128 KiB maximum reply, 50 MiB maximum decoded recording). This reader does not render a widget and should never be called by the model to inspect raw events.
References are owned by the authenticated caller/account and API scope, expire after 15 minutes, and survive MCP transport reconnects. Every show/read rechecks source access; deleted recordings and revoked API keys fail closed. OAuth follows the server's existing verification-cache policy. Loading/retries never extend the deadline. Keep the original offline-player fallback if a view expires. Clients without MCP Apps retain the existing replay output.
Snapshots are bounded and process-local. Deploy with routing that keeps prepared views on the owning process; shared view storage is required for arbitrary cross-worker reads. Restart or eviction makes a view unavailable and never reruns the original operation. Replay presentation tools/resources are absent from the compliant surface, whose existing tool list is unchanged.
On the full surface, MCP Apps clients can inspect logs without copying the complete result into the conversation:
browserless_logs({ levels: ["ERROR", "WARN"], limit: 50 })
browserless_show({ viewRef: " " })
The explorer shows timestamp, severity, endpoint/event, outcome/status, category/reason, duration, units, and region. Expand a row for every returned field, including the complete message, target URL, request ID, and session ID. IDs have Copy buttons when the host grants clipboard write access. URLs remain plain text and never open automatically.
Filters cover the tool's existing time range, severity, endpoint, outcome, category, reason, request ID, target URL, event names, API key, page size, and ordering. Omitted time bounds use the account plan's server-defined window; retention errors appear in the widget. Refresh, Apply filters, and Load more call the authorized read-only logs tool through the bridge, without a new chat turn or another widget. Overlapping pages are deduplicated. Loaded entries are bounded to 500 rows and 2 MiB; each result page is limited to 100 rows and 1 MiB. I
只显示了开头部分;其余内容请在仓库中阅读