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)
Self-hosted MCP server for stealth browser automation with human-like OS-level input.
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": {
"stealthy-auto-browse": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/psyb0t/stealthy-auto-browse:v3.5.1"
]
}
}
}Run this in your terminal
claude mcp add stealthy-auto-browse -- docker run -i --rm docker.io/psyb0t/stealthy-auto-browse:v3.5.1Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"stealthy-auto-browse": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/psyb0t/stealthy-auto-browse:v3.5.1"
]
}
}
}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": {
"stealthy-auto-browse": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/psyb0t/stealthy-auto-browse:v3.5.1"
]
}
}
}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 9, 2026
The registry name was verified with the GitHub account psyb0t, which owns the repo
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 (3.5.1) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker 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:↓ Downloads per weeki★ 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.
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.
Stealth browser automation that actually works. One Docker container runs Camoufox on a graphical display, accepts JSON HTTP and MCP commands, sends real OS-level mouse and keyboard input, and exposes a live noVNC viewer. It supports single-browser sessions, atomic scripts, page loaders, recording, virtual media, CAPTCHA detection, optional CAPTCHA solver providers, and clustered browsers with Redis cookie sync.
The image avoids Chromium CDP signals and keeps its generated Linux font and WebGL fingerprints internally consistent. Detection results still depend on the site, network exit, timezone, browser build, and test date.
docker run -d --name browser \
-p 127.0.0.1:8080:8080 \ -p 127.0.0.1:5900:5900 \ psyb0t/stealthy-auto-browse
Open http://localhost:5900/ to watch the browser. Port 8080 serves the HTTP API and MCP server.
# Navigate
curl -X POST http://localhost:8080 \ -H "Content-Type: application/json" \ -d '{"action":"goto","url":"https://example.com"}'
curl -X POST http://localhost:8080 \ -H "Content-Type: application/json" \ -d '{"action":"get_text"}'
curl -X POST http://localhost:8080 \ -H "Content-Type: application/json" \ -d '{"action":"system_click","selector":"button#submit"}'
curl "http://localhost:8080/screenshot/browser?whLargest=512" -o screenshot.png
Run several actions atomically with run_script:
curl -X POST http://localhost:8080 \
-H "Content-Type: application/json" \ -d '{ "action": "run_script", "steps": [ {"action": "goto", "url": "https://example.com"}, {"action": "get_text", "output_id": "text"}, {"action": "eval", "expression": "document.title", "output_id": "title"} ] }'
The server serializes requests in single-instance mode. Navigation has bounded retries and timeouts. See the HTTP API reference for every action and parameter.
| Component | Purpose |
|---|---|
| Camoufox | Patched Firefox with no Chrome DevTools Protocol and an isolated automation world. |
| Xvfb and Openbox | Full graphical display and window management without a physical monitor. |
| PyAutoGUI and XTest | Trusted OS-level mouse, keyboard, and wheel events with humanized timing. |
| HTTP API and MCP | Remote browser control on port 8080. |
| noVNC | Live browser view on port 5900, with the automated pointer visible by default. |
| ffmpeg | MP4 recording from the X11 display. |
The image includes uBlock Origin, LocalCDN, ClearURLs, and Consent-O-Matic. Optional CAPTCHA solver integrations are disabled unless configured.
Two input modes are available. Playwright actions such as click and fill are fast DOM operations. System actions such as system_click, system_type, mouse_move, and scroll send OS-level input with paths and timing fitted to published human input data. human_pause represents visible reading, review, or composition time without continuously jiggling the pointer. Use the system actions when trusted input or behavior matters. See Stealth and detection evasion and Humanized input.
Send POST / with an action and its parameters. The API covers navigation, iframe and open-shadow DOM targeting, accessibility lookup, stable element references, DOM and system pointer input, human handoff, tabs and windows, browser events, permissions, network interception and HAR, rich clipboard access, PNG capture, recording, virtual media, challenge detection, waits, logs, and JavaScript evaluation.
Useful read endpoints:
GET /healthGET /stateGET /eventsGET /screenshot/browserGET /screenshot/desktopdetect_challenge reports bounded evidence for known challenge widgets without clicking or solving them. Set scroll_into_view: true to bring the first visible match into the viewport for a noVNC handoff. See Challenge detection.
The Streamable HTTP MCP server lives at http://localhost:8080/mcp/. It exposes dedicated tools for common actions plus browser_action and run_script for the complete API.
Install the published integrations:
# Claude Code
claude plugin marketplace add psyb0t/agents claude plugin install stealthy-auto-browse@psyb0t
codex plugin marketplace add psyb0t/agents codex plugin add stealthy-auto-browse@psyb0t
openclaw skills install @psyb0t/stealthy-auto-browse
openclaw plugins install clawhub:@psyb0t/stealthy-auto-browse
The source skill is under .agents/skills/stealthy-auto-browse. Set STEALTHY_AUTO_BROWSE_URL and AUTH_TOKEN where the client integration requires them.
docker run --rm -i ... --script and receive JSON on stdout. Conditions, branches, bounded loops, and output references are supported. See Script mode.set_clipboard and get_clipboard use the real X11 clipboard shared by Camoufox and noVNC. They support UTF-8 text, HTML, PNG, and file URI lists. For substantial text, set the clipboard, focus the field, then paste with send_key and ctrl+v. See Clipboard./media and configure static or dynamic sources for getUserMedia() tests. See Virtual camera and microphone and Configuration.start_recording and stop_recording write collision-safe MP4 files to a mounted /recordings directory. See Screen recording.docker-compose.cluster.yml runs several browsers behind HAProxy with request queuing, sticky sessions, and Redis cookie sync. The default is five browser replicas with a 5 GB memory limit each. When NUM_REPLICAS > 1, HTTP and MCP accept atomic run_script requests plus ping and sleep, which keeps every sequence on one browser.
See Cluster mode for setup, scaling, health checks, and resource controls.
Set AUTH_TOKEN to require a Bearer token on every endpoint except /health:
docker run -d \
-p 127.0.0.1:8080:8080 \ -p 127.0.0.1:5900:5900 \ -e AUTH_TOKEN=your-token-here \ psyb0t/stealthy-auto-browse
Keep the API and noVNC ports on loopback unless a trusted network or authenticated reverse proxy protects them. Match TZ to the proxy exit location. Persist /userdata when browser identity and session state must survive restarts.
The configuration reference covers every environment variable, proxies, persistent profiles, extensions, virtual media, VNC, and solver providers.
Docker is the only development dependency. The Makefile runs tooling in the project dev image.
make build
make lint make test-unit make test make test-real make sec
make test-real is opt-in because it calls public detector sites. Use make help for all targets.
Observed results are not a promise for every site or future detector version. Test the exact image, proxy, timezone, and target flow you plan to use.
The live suite checks fingerprint consistency on liarjs.dev and compares humanized system input against Playwright, synthetic DOM, and raw PyAutoGUI controls on DeviceAndBrowserInfo and FCaptcha. The deterministic suite also runs open-source behavioral detectors with robotic controls that must be caught. Current methods and observed results are in Stealth and detection evasion.
WTFPL (Do What The Fuck You Want To Public License)