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 Chrome for AI agents, with a live noVNC view a human can take over.
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.
AGENT_BROWSER_URL, AGENT_BROWSER_CONTROLLER_TOKEN, AGENT_BROWSER_OBSERVER_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
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": {
"agent-browser": {
"command": "npx",
"args": [
"-y",
"aether-browser",
"mcp"
],
"env": {
"AGENT_BROWSER_URL": "your-value",
"AGENT_BROWSER_CONTROLLER_TOKEN": "your-value",
"AGENT_BROWSER_OBSERVER_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add agent-browser --env AGENT_BROWSER_URL=your-value --env AGENT_BROWSER_CONTROLLER_TOKEN=your-value --env AGENT_BROWSER_OBSERVER_TOKEN=your-value -- npx -y aether-browser mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agent-browser": {
"command": "npx",
"args": [
"-y",
"aether-browser",
"mcp"
],
"env": {
"AGENT_BROWSER_URL": "your-value",
"AGENT_BROWSER_CONTROLLER_TOKEN": "your-value",
"AGENT_BROWSER_OBSERVER_TOKEN": "your-value"
}
}
}
}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": {
"agent-browser": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"aether-browser",
"mcp"
],
"env": {
"AGENT_BROWSER_URL": "your-value",
"AGENT_BROWSER_CONTROLLER_TOKEN": "your-value",
"AGENT_BROWSER_OBSERVER_TOKEN": "your-value"
}
}
}
}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.
AGENT_BROWSER_URL envThese 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 with the GitHub account AetherAI3, 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.
You need to fill in: AGENT_BROWSER_CONTROLLER_TOKEN, AGENT_BROWSER_OBSERVER_TOKEN
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 (0.2.2) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Python (uv) 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.
Agent Browser See what your agent sees.
Self-hosted Chrome for AI agents.
Your agent drives one real browser session — and you can watch it happen, and step in.
Quickstart · API · MCP · Security model · Node client · Python client · Contributing · Changelog
An 18-second recorded demonstration. The agent signs in, reaches a 2FA prompt it has no way to answer, and stops. A human types the code into the displayed session , then the agent continues.
Capture provenance, checksums, and independently verifiable limits are documented. · How this was recorded
Most browser tooling for agents hands the model a browser you cannot see. When it misreads a page or stalls on a login, all you get is a transcript and a guess.
Agent Browser runs one headed Chrome session. Your agent drives it through a small JSON API, and a live view of that same session sits open in front of you. When the agent gets stuck, you take over in the window it is already using — then hand it back.
Start the runtime:
docker compose up --build
Then reach it however you like:
npm install aether-browser # TypeScript
pip install aether-browser # Python claude mcp add agent-browser -- npx -y aether-browser mcp # any MCP client
One command, on Docker Engine for Linux with Compose v2. It builds from the source checkout and starts Xvfb, x11vnc, noVNC, and the API — the stack that owns a single headed Chrome session. Both user-facing listeners bind to numeric loopback.
docker compose up --build
Once health responds, open the live view at 127.0.0.1:6080/vnc.html and check the API from another terminal:
curl -fsS http://127.0.0.1:8092/browser/health | jq .
Ctrl+C stops it.
The first build takes several minutes. It installs the hash-locked Python environment, then
uses Patchright to install the current Google Chrome Stable package. The exact browser version is
captured with each accepted image, so rebuilding the same source later may pick up a newer Stable.
Linux host networking is deliberate. It keeps the unauthenticated v0.x noVNC surface on
numeric loopback. Docker Desktop and remote-host deployment are outside this quickstart.
With the runtime healthy and curl plus jq installed. Local loopback needs no bearer token by design — read the authority contract before you change the deployment shape.
# Open the session. This is the browser you are about to watch.
SESSION_ID="$(curl -fsS -X POST http://127.0.0.1:8092/browser/session/create \ -H 'Content-Type: application/json' \ -d '{"api_version":"v1"}' | jq -er '.session_id')"
curl -fsS -X POST http://127.0.0.1:8092/browser/navigate \ -H 'Content-Type: application/json' \ -d "{\"api_version\":\"v1\",\"session_id\":\"${SESSION_ID}\",\"url\":\"https://example.com\"}" \ | jq '{status, final_url, title, readable_text}'
curl -fsS -X POST http://127.0.0.1:8092/browser/snapshot \ -H 'Content-Type: application/json' \ -d "{\"api_version\":\"v1\",\"session_id\":\"${SESSION_ID}\"}" \ | jq '{status, url, title, sequence, vision_steps_remaining}'
curl -fsS -X POST http://127.0.0.1:8092/browser/session/end \ -H 'Content-Type: application/json' \ -d "{\"api_version\":\"v1\",\"session_id\":\"${SESSION_ID}\"}" | jq .
What that did: session/create started one headed Chrome session and returned its UUID plus the local view URL. navigate validated the destination, pinned the allowed addresses, and changed the page on the shared display. snapshot returned bounded text, accessibility state, viewport metadata, counters, and a PNG of that same page. At no point did the API and the human view create competing browsers — they met at one owned session.
The same flow ships as examples/curl.sh.
Any MCP client — Claude Code, Claude Desktop, Cursor, Windsurf — can drive the session while you watch, and take over when it gets stuck.
claude mcp add agent-browser -- npx -y aether-browser mcp
Already have the Python client? aether-browser mcp serves the same nine tools.
Config-file clients (Claude Desktop, Cursor, Windsurf)
{
"mcpServers": { "agent-browser": { "command": "npx", "args": ["-y", "aether-browser", "mcp"] } } }
</details>
Nine tools — browser_open · browser_navigate · browser_read · browser_click · browser_type · browser_press · browser_scroll · browser_status · browser_close
browser_open hands back the live view URL, and every response after it repeats that URL, so you always know where to look. On connect, the server tells the model to stop and ask for a takeover at a login, a payment, or a 2FA prompt rather than guessing — the loop in the recording above.
Setup and limits: docs/MCP.md.
The same API from Node, with types and cleanup you cannot forget:
npm install aether-browser
import { AgentBrowser, withSession } from 'aether-browser'
const browser = new AgentBrowser({ controllerToken: process.env.AGENT_BROWSER_CONTROLLER_TOKEN })
await withSession(browser, async (session) => { const page = await session.navigate('https://example.com') await session.click({ selector: '#login' }) await session.type({ selector: '#user', text: 'ada' }) console.log(page.title, session.viewUrl) })
withSession always ends the session, including when your callback throws, so a crash cannot leave the single slot occupied. No runtime dependencies, and it runs anywhere that can reach the server. It carries a small CLI too: npx aether-browser doctor tells you what is missing before a first run, and up builds and starts the runtime on a Linux host.
See clients/node/README.md.
The same client, same name, same commands, released version for version with the npm package:
pip install aether-browser
import os
from aether_browser import AgentBrowser, session
browser = AgentBrowser(controller_token=os.environ["AGENT_BROWSER_CONTROLLER_TOKEN"])
with session(browser) as live: page = live.navigate("https://example.com") live.click(selector="#login") live.type("ada", selector="#user") print(page["title"], live.view_url)
The session context manager always ends the session, including when the body raises. No runtime dependencies — the transport is urllib from the standard library — ships type hints, and runs on Python 3.10 or newer, anywhere that can reach the server. Same CLI as the npm package: aether-browser doctor, up, status, open, down.
See clients/python/README.md.
The Python client has an opt-in aether_browser.jev layer for Jev → your selected model. Jev reads a caller-selected text excerpt and chooses between up to three caller-approved URLs, handoff, or human takeover. The browser navigates only to a URL the caller supplied, and its normal destination checks still apply. On handoff, your callback receives the current page evidence and Jev's request IDs, token counts, and costs; your application invokes its chosen reasoning model to write, analyze, or continue browsing. Jev returns decisions, not prose or visual judgments, so screenshots and complex page interactions belong to that selected model or the human watching the live browser.
import os
from aether_browser import AgentBrowser, session from aether_browser.jev import HumanTakeover, JevWebAgent, NavigationOption, OpenRouterJev
browser = AgentBrowser(controller_token=os.environ["AGENT_BROWSER_CONTROLLER_TOKEN"]) with session(browser) as live: first_page = live.navigate("https://example.com") result = JevWebAgent(OpenRouterJev(os.environ["OPENROUTER_API_KEY"])).run( live, goal="Read the site's documentation", initial_page=first_page, options_for=lambda page: ( [NavigationOption("https://example.com/docs", "Official documentation")] if page["final_url"] == "https://example.com/" else [] ), excerpt_for=lambda page: page"readable_text", selected_model=lambda handoff: your_model(handoff), # Supply your own model callback. ) if isinstance(result, HumanTakeover): print("Take control at", result.view_url) input("Press Enter when the human is done to close this session: ") else: print(result)
The example's your_model is an application-defined function, not part of this package. The excerpt_for callback explicitly chooses text sent to OpenRouter, and options_for explicitly chooses candidate URLs. Never return private page content or signed URLs unless your application intends to send them to that provider. The OpenRouter key stays in the calling process; the browser server does not store it. No Jev request occurs unless you call this optional layer. If Jev fails or returns an invalid decision, the selected-model callback receives a handoff with reason="jev_unavailable" and the browser takes no additional action. Recognized authentication or payment pages prompt human takeover before Jev receives their text. The session remains owned by your code; keep it open while the human takes over. See docs/JEV.md for the complete contract and limitations.
Only the beginning is shown; read the rest in the repo