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)
Chrome over CDP for AI agents. Blind benchmark vs agent-browser: -33% tokens, -33% cost, -32% time
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": {
"public-browser": {
"command": "npx",
"args": [
"-y",
"public-browser"
]
}
}
}Run this in your terminal
claude mcp add public-browser -- npx -y public-browserPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"public-browser": {
"command": "npx",
"args": [
"-y",
"public-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": {
"public-browser": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"public-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 7, 2026
The registry name was verified with the GitHub account Silbercue, 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 (3.0.0) reached the registry 43 days 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.
Lets Claude Code, Cursor and any MCP client drive Chrome. In a blind benchmark on a 30-test page, five runs each, Public Browser 3.0 passed 30/30 in every run and used a median of 3.0M session tokens where agent-browser 0.38.1 used 4.5M — a third fewer tokens, a third less cost, a quarter fewer tool calls and 48% faster (261 s against 386 s) (Benchmarks, including where it loses). Measured 2026-09-23/24 with Claude Code 2.1.281, driver Claude Opus 5 and Chrome 153; agent-browser ran through its CLI with its official skill file, and the test page is our own. Direct CDP, a11y-tree refs, several steps per call with run_plan — 2,700+ TypeScript tests, 280+ Python tests.
Built for Claude Code, Cursor, and any MCP-compatible client — and, without an LLM in the loop, for decision models like Jev.
Looking for an alternative to agent-browser, Playwright MCP, Chrome DevTools MCP or Browser MCP? Public Browser is an MCP server that talks to Chrome directly over the DevTools Protocol — no Playwright dependency, no extension bridge, no shell command per step. One command to install, zero config. See the benchmark comparison below.
run_plan executes several actions with variables and conditions in one call, and since 3.0 the responses carry less repetition — diffs show only what changed, text the parent line already shows is not repeated, a tip appears once per session.stale ref instead of clicking whatever node now has that number. drag answers Drag not confirmed when nothing reacted, and a click that opens a tab names the new tab.createSession()) and a Python client (pip install publicbrowser) run the same tool handlers as the MCP server.What agent-browser does better: it can copy your Chrome profile so its logins come along (Public Browser's profile mode does not carry site logins on macOS, see Chrome Profiles), records HAR files and intercepts requests, saves PDFs and video, and drives iOS Safari. If your agent works from the shell rather than through an MCP client, it is a strong choice.
| Blind benchmark, median of 5 runs each | Public Browser 3.0 | agent-browser 0.38.1 (CLI) |
|---|---|---|
| Passed (30 scored tests) | 30/30 in 5 of 5 runs | 29/30 in 5 of 5 runs — misses T5.2, a navigator.webdriver check |
| Session tokens, whole run | 3.02M (2.47–3.15M) | 4.53M (4.40–5.33M) |
| Cost per run, Opus 5 list price | $2.40 | $3.56 |
| Tool calls | 79 | 104 |
| Time to finish, wall clock | 261 s | 386 s |
| Tool-response volume | 78.9k chars | 84.4k chars |
| Average tool response | 1,040 chars | 754 chars |
2026-09-23/24, Claude Code 2.1.281, driver claude-opus-5, Chrome 153.0.8010.53. Method, per-run table and the rest of the field: Benchmarks.
One command — installs globally for all projects:
claude mcp add --scope user public-browser -- npx -y public-browser@latest
Important: after claude mcp add you must fully quit and reopen Claude Code. /mcp reconnect is not enough — Claude Code reads the mcpServers config only at session start and caches it. After the restart, the first tool call auto-launches Chrome visible (no headless, no port setup). Done.
To enable parallel Python Script API access, add
--scriptto the args:
claude mcp add --scope user public-browser -- npx -y public-browser@latest -- --script
Add to ~/.cursor/mcp.json:
{
"mcpServers": { "public-browser": { "command": "npx", "args": ["-y", "public-browser@latest"] } } }
For parallel Python Script API access, use
"args": ["-y", "public-browser@latest", "--", "--script"]
Add to your cline_mcp_settings.json:
{
"mcpServers": { "public-browser": { "command": "npx", "args": ["-y", "public-browser@latest"] } } }
Any client that supports stdio MCP servers: npx -y public-browser@latest with no arguments.
After installing, paste this into your AI coding assistant:
Open mcp-test.second-truth.com, read the page, and fill the contact form with Name "Test User" and Email "test@example.com".
This exercises three core tools in sequence: navigate loads the page, view_page reads the accessibility tree with stable element refs, and fill_form fills multiple fields in one call. You should see Chrome open, the page load, and the form filled — all without writing a single line of code.
claude mcp remove --scope user public-browser
By default, Public Browser starts Chrome with a fresh temp profile — no cookies, no logins, no extensions. You can also start Chrome with one of your own Chrome profiles.
npx public-browser profiles
Three ways — pick whichever fits your setup:
# CLI flag
npx public-browser --profile "Work"
PUBLIC_BROWSER_PROFILE="Work" npx public-browser
configure_session({ profile: "Work" })
Chrome refuses remote control on its default data directory, so Public Browser creates a lightweight wrapper directory with a symlink to your profile folder and starts Chrome on that. The wrapper is removed when Public Browser closes Chrome, and wrappers left behind by a crash are removed on the next start; your profile folder itself is never deleted.
What carries over, and what does not. Bookmarks, history, extensions and Chrome's own Google sign-in come along, so Google sites are signed in. Other sites are not, at least on macOS: current Chrome (tested with 153) does not load the profile's cookies through the symlink — the sandbox of Chrome's network service only allows paths below the wrapper — so sites start logged out, and logins made during the session are not saved to your profile. Linux and Windows are untested. Copying the profile at start, as agent-browser does, is planned.
No open debugging port. A real profile is driven over --remote-debugging-pipe: CDP runs through a pipe that only Public Browser holds, and nothing listens on a TCP port — other programs on your machine cannot take over your browser. The flip side: --attach and the Script API escape hatch (page.cdp) do not work with a real profile. Should Chrome ever refuse the pipe, Public Browser restarts it with a random debugging port (never 9222) and says so on stderr and once in the next tool response: while that Chrome runs, the profile is reachable for local programs.
Public Browser detects this via lock-file inspection. If Chrome is running with remote debugging enabled, it attaches via CDP. If not, it shows a clear error asking you to close Chrome first. A profile can be open in only one Public Browser at a time: a second instance stops with an error naming the PID of the Chrome that holds it.
Jev (TypeSafe AI, announced 15 September 2026, early access) is not a chat model. It takes program state plus a bounded set of options and returns one typed choice with calibrated probabilities in 70–500 ms, at $0.042 per million input tokens with free output — it cannot produce free text, so it cannot invent a selector that does not exist. TypeSafe calls this a "System One model". Two browser agents already run on it: browser-use/jev-ultrafast (Google Flights search in 7.1 s, $0.0039, 91% fewer browser-protocol calls) and jev-browser (1.5× faster and 1.6× cheaper than Playwright MCP on a 12-task suite, 97% autonomous success at ~$0.0005 per task).
Every one of those loops needs the same three things from the browser side, and they are exactly what Public Browser is built around:
| Jev needs | Public Browser delivers |
|---|---|
| A bounded menu of actions, not a screenshot or a raw DOM | view_page (filter: "interactive") — the a11y-tree elements an agent can act on, each with a stable e-ref. Ø 1.2–1.3k chars per view in the September benchmark, well inside Jev's ~32k-token page budget and 255-option choice cap. |
| Refs that survive the action so the chosen option can be executed and verified | e-refs are cached across calls and survive scrolls and DOM re-renders; click/type/fill_form return a DOM diff (NEW/REMOVED/CHANGED) that serves as the deterministic verification signal Jev-style loops use instead of a second model call. |
| A programmatic driver without an LLM in the loop | The [Script API (Python)](#script-api-python--perfect-for-jev
Only the beginning is shown; read the rest in the repo