Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
Bridge a live Chrome browser to your agent: 150 tools for capture, extraction, and observation.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"crawlio-browser": {
"command": "npx",
"args": [
"-y",
"crawlio-browser"
]
}
}
}Run this in your terminal
claude mcp add crawlio-browser -- npx -y crawlio-browserPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"crawlio-browser": {
"command": "npx",
"args": [
"-y",
"crawlio-browser"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"crawlio-browser": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"crawlio-browser"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain crawlio.app (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.11.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.
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.
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
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.
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.
| Mode | Command / URL | Protocol | Best For |
|---|---|---|---|
| stdio | npx crawlio-browser | JSON-RPC over stdin/stdout | Claude Desktop, Cursor, Windsurf — client manages process lifecycle |
| Portal (HTTP) | POST http://127.0.0.1:3001/mcp | MCP Streamable HTTP | Claude Code, ChatGPT Desktop — server survives session restarts |
| Portal (SSE) | GET /sse + POST /message | Server-Sent Events | Legacy 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.
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
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).
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.
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.
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.
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.
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.
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.
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
Only the beginning is shown; read the rest in the repo