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Crawlio Browser

作者:Crawlio-app版本 1.11.0i★ –i在你的电脑上运行
注册名称app.crawlio/crawlio-browser

安装

概览

作者提供的说明(英文原文)

Bridge a live Chrome browser to your agent: 150 tools for capture, extraction, and observation.

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: 网页与浏览器

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

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": {
    "crawlio-browser": {
      "command": "npx",
      "args": [
        "-y",
        "crawlio-browser"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add crawlio-browser -- npx -y crawlio-browser

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": {
    "crawlio-browser": {
      "command": "npx",
      "args": [
        "-y",
        "crawlio-browser"
      ]
    }
  }
}

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": {
    "crawlio-browser": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "crawlio-browser"
      ]
    }
  }
}

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。

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

    注册名称已通过域名 crawlio.app 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

  • – 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“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 875 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 875 个服务器的 28% 更新
  • 基础检查结果等于或优于此分类中其他 875 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

Crawlio Browser 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?

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(1.11.0)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: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-2.015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。

Crawlio Browser

Documentation | API Reference | Chrome Extension

MCP server that gives AI full control of a live Chrome browser via CDP. 150 tools with framework-aware intelligence, typed evidence infrastructure, tracking pixel analysis, technographic fingerprinting, SEO auditing, and confidence-tracked findings — captures what static crawlers can't see.

When to use Crawlio Browser

Use Crawlio Browser when your AI needs to interact with a real browser — SPAs, authenticated pages, dynamic content, JS-rendered frameworks. Unlike headless browser tools, Crawlio Browser connects to your actual Chrome via a lightweight extension, giving the AI access to your logged-in sessions, cookies, and full browser state.

Crawlio Browser vs headless browser tools: Headless tools launch a separate browser process. Crawlio Browser connects to your existing Chrome — no separate browser, no login flows, full access to your tabs and sessions.

[!WARNING]

This is the trade-off, stated plainly: connecting your own Chrome is the feature, and it means

an AI agent can act as you on every site you are logged into. It attaches Chrome's debugger to

the tab you connect, so it can read cookies, storage, and page content for that session.

Review what you connect it to. Prefer a dedicated Chrome profile for agent work. Nothing is

captured until you connect a tab, and you can see the exact tool surface before configuring

anything by running npx crawlio-browser tools. Sites can opt out with

, which the extension honors.

Quick Start

  1. Install the Chrome Extension
  2. Run the init wizard:
   npx crawlio-browser init

That's it. Auto-detects and configures 14 MCP clients: Claude Code, Cursor, VS Code, Codex, Gemini CLI, Claude Desktop, ChatGPT Desktop, Windsurf, Cline, Zed, Goose, OpenCode, MCPorter, and Cline CLI.

Init wizard options
npx crawlio-browser init              # Default: code mode, stdio transport

npx crawlio-browser init --full # Full mode (every tool exposed individually) npx crawlio-browser init --portal # Portal mode (persistent HTTP server) npx crawlio-browser init --cloudflare # Add Cloudflare MCP (89 tools, no wrangler) npx crawlio-browser init --dry-run # Show what would happen npx crawlio-browser init --yes # Skip prompts (CI / scripted installs) npx crawlio-browser init -a claude # Target specific MCP client

As an Agent Plugin

The package is also an Agent Plugins v1 plugin, so a conformant client can load it directly instead of running the wizard — plugin.json at the root, the eleven skills under skills/, and the MCP server declared in mcp.json.

The product-facing crawlio-* workflows are folded into the eleven shipped skills. The similarly named definitions in agents/ remain repo-local development fixtures: they import src/evidence/* and loops/*, neither of which is part of the npm runtime. They are excluded from package.json instead of advertising a second, non-executable product surface.

Point the client at the installed package:

node_modules/crawlio-browser        # after `npm install crawlio-browser`

mcp.json resolves the server through ${PLUGIN_ROOT}/dist/mcp-server/index.js, which is why the plugin has to be an installed package rather than an unpacked tarball — the server imports its dependencies at runtime, so a bare extract starts and then dies without answering.

Inspecting what it exposes
npx crawlio-browser tools          # What code mode exposes (the default)

npx crawlio-browser tools --full # Every tool, individually npx crawlio-browser tools --json # Machine-readable, for diffing across versions npx crawlio-browser doctor # Bridge, portal, native host, client configs npx crawlio-browser --help # All commands and options npx crawlio-browser --version # Version only

Both are read-only and run without a browser, an extension, or a network connection — you can see the whole surface before you configure any client. The numbers come from the same builders the server registers, so they cannot disagree with what your client receives.

Transport Modes
ModeCommand / URLProtocolBest For
stdionpx crawlio-browserJSON-RPC over stdin/stdoutClaude Desktop, Cursor, Windsurf — client manages process lifecycle
Portal (HTTP)POST http://127.0.0.1:3001/mcpMCP Streamable HTTPClaude Code, ChatGPT Desktop — server survives session restarts
Portal (SSE)GET /sse + POST /messageServer-Sent EventsLegacy clients needing SSE transport

Portal mode is recommended for Claude Code — the server persists across context compaction and session restarts. On macOS, --portal installs a launchd agent for auto-start on login.

Manual setup (any client)

Per-client manual config

Claude Desktop — add to claude_desktop_config.json:

{ "mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }

Claude Code (Portal Mode) — start npx crawlio-browser --portal, then add to .mcp.json:

{ "mcpServers": { "crawlio-browser": { "type": "http", "url": "http://127.0.0.1:3001/mcp" } } }

Claude Code (stdio):

claude mcp add crawlio-browser -- npx -y crawlio-browser

Cursor — add to .cursor/mcp.json:

{ "mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }

Windsurf — add to Windsurf Settings > MCP:

{ "mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }

Cline (VS Code) — add to settings.json:

{ "cline.mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }

ChatGPT Desktop — Settings > Integrations > MCP: URL: http://127.0.0.1:3001/mcp | Type: Streamable HTTP

How It Works

AI Client (stdio/http)  -->  MCP Server (Node.js)  -->  Chrome Extension (MV3)

crawlio-browser WebSocket -> CDP

The MCP server communicates with the Chrome extension via WebSocket. The extension controls the browser through Chrome DevTools Protocol (CDP).

Capabilities

Framework-Aware Intelligence

Every execute call probes the browser for framework signatures and injects a shape-shifting smart object with framework-native accessors. React state, Vue reactivity, Next.js routing, Shopify cart data — 17 framework namespaces across 4 tiers, detected at runtime and rebuilt on every navigation. The AI doesn't query a generic DOM; it queries the framework's own data structures.

Evidence-Based Analysis

Method Mode adds higher-order methods and a typed evidence system on top of Code Mode. smart.extractPage() runs 7 parallel operations in a single call — page capture, performance metrics, security state, font detection, meta extraction, accessibility audit, and mobile-readiness check. Failed operations produce typed CoverageGap records instead of silent nulls. Findings created with smart.finding() get their confidence automatically adjusted when supporting data is missing. The result: structured, auditable research output with gap tracking and confidence propagation.

Session Recording & Replay

Record browser interactions as structured data, then compile them into reusable SKILL.md automations. 12 interaction tools are automatically intercepted during recording — clicks, typing, navigation, scrolling — each capturing args, result, timing, and page URL. One compileRecording() call converts the session into a deterministic automation script.

Robot Training

Capture human-guided browser demonstrations as replayable robot-training bundles. The default-mode observe lifecycle starts an event-driven recorder inside the extension; collection keeps running if the MCP process disconnects or restarts. On reconnection, training_stop exports the retained run and materializes the complete 13-file RecordingBundle for replay and API synthesis. Full mode keeps the existing robot_training_* names as compatibility aliases.

Page monitoring is resident for the same reason: an extension-owned background tab and Chrome alarm collect bounded ARIA snapshots while no MCP server is present. Training and monitor history share a 25 MiB local budget, with 20 completed training runs, 50 monitor jobs, 200 snapshots total, and 50 snapshots per monitor as count caps. Old completed data is evicted first; active work is never silently evicted. Work starts only through explicit MCP lifecycle actions; the same actions report status, stop collection, clear monitor snapshots, and—with an exact id plus explicit confirmation—delete a stopped training/recording record from Chrome while preserving its materialized files. The extension popup remains a connection and browser-access status surface. Storage values are keys-only unless the caller explicitly opts in. Monitor snapshots intentionally retain compact ARIA page text locally; starting a monitor should therefore be treated as consent to retain the visible content of that URL until it is cleared.

Auto-Settling & Actionability

Every mutative action (click, type, navigate, select_option) runs actionability checks before acting — polling visibility, dimensions, enabled state, and overlay detection. After the action, a progressive backoff settle delay ([0, 20, 100, 100, 500]ms) waits for DOM mutations to quiesce. The AI doesn't need manual sleep() calls between actions.

Several Tabs at Once

Any command that acts on a page takes an optional tabId from list_tabs. Omit it and the command runs on the connected tab, exactly as before; supply one and it runs on that tab instead, with the whole command surface available on each. Commands overlap, so two tabs can be driven at the same time:

const [checkout, search] = await Promise.all([

bridge.send({ type: "browser_snapshot", tabId: 42 }), bridge.send({ type: "browser_snapshot", tabId: 57 }), ]);

Targeting a tab never changes which tab connect_tab points at, so an agent working several tabs cannot reassign the one a human is watching. Frame selection, coverage sessions, and framework detection are per tab. Network capture is the exception — it records one tab at a time and says which tab holds it rather than interleaving two.

Chrome Profiles

An extension instance is confined to its own Chrome profile and cannot see any other, so with Crawlio enabled in more than one, commands land in whichever profile connected first. list_profiles shows the profiles that have connected and which is being driven; switch_profile moves the connection to another. One profile is driven at a time — the released extension reconnects in the background, so switching back is immediate.

Profiles identify themselves with a UUID minted into their own extension storage. It distinguishes a profile without describing it: no account, no email, no path, and no additional permission.

Selecting a profile keeps cooperating extensions out of each other's way — it is not a security boundary, since the id is asserted by the extension rather than proved. The b

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