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)
Hand a browser goal to TypeSafe Jev in your Chrome or a throwaway one; get one checked summary.
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.
TYPESAFE_API_KEY, OPENROUTER_API_KEY, JEVWAY_BROWSERValues 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": {
"jevway": {
"command": "npx",
"args": [
"-y",
"jevway",
"mcp"
],
"env": {
"TYPESAFE_API_KEY": "your-value",
"OPENROUTER_API_KEY": "your-value",
"JEVWAY_BROWSER": "your-value"
}
}
}
}Run this in your terminal
claude mcp add jevway --env TYPESAFE_API_KEY=your-value --env OPENROUTER_API_KEY=your-value --env JEVWAY_BROWSER=your-value -- npx -y jevway mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"jevway": {
"command": "npx",
"args": [
"-y",
"jevway",
"mcp"
],
"env": {
"TYPESAFE_API_KEY": "your-value",
"OPENROUTER_API_KEY": "your-value",
"JEVWAY_BROWSER": "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": {
"jevway": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"jevway",
"mcp"
],
"env": {
"TYPESAFE_API_KEY": "your-value",
"OPENROUTER_API_KEY": "your-value",
"JEVWAY_BROWSER": "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.
JEVWAY_BROWSER 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 8, 2026
The registry name was verified with the GitHub account AbdallahAHO, 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: TYPESAFE_API_KEY, OPENROUTER_API_KEY
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 (0.5.3) reached the registry 2 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.
[Website and demos](https://jevway.escalay.space/?utm_source=github&utm_medium=readme&utm_campaign=header) · Quick start · Agent setup guide · How it works · Reference
Give your coding agent a browser goal and get back one short, checked summary. TypeSafe Jev picks each click, type and select in about 300 ms, so your agent stops spending a turn on every step.
jevway is an MCP server and a CLI. It works with Claude Code, Codex, Cursor, OpenCode and any other MCP client, in your own signed-in Chrome or a throwaway one.
Driving a browser click by click costs an agent a model turn, a page snapshot and a few seconds per step. A 15-step form takes minutes and fills the context window with snapshots. jevway hands the whole goal to Jev, a model built to choose browser actions, and returns when it's done or when it needs the agent:
values the agent passed. A missing value comes back as needs_input, naming the field.needs_confirmation. One confirmation allows one click, on the control that was named.done needs a separate check of done_when on the final page, plus any exact checks you add, and comes with the page's own words as evidence.jevway has no browser extension and no Playwright: it drives Chrome directly. Three things are required, and two optional tools unlock more.
| Needed for | Without it | |
|---|---|---|
| Node.js 24+ | running jevway (npx fetches it) | it won't start |
| Google Chrome (or Chromium) | every run: your running Chrome, or a throwaway one jevway starts | runs fail; set CHROME_PATH if Chrome isn't in the usual place |
An API key: TYPESAFE_API_KEY (recommended) or OPENROUTER_API_KEY | every decision Jev makes | the server still starts and lists its tools, and jevway_look works, but tasks and journeys answer with the setup fix |
ffmpeg *(optional)* | the run.mp4 video in a recording | recordings keep their step screenshots and HTML page, without the video |
notify-send *(optional, Linux)* | the desktop notification when a person is needed (macOS has it built in) | the agent still asks you; there's just no pop-up |
| chrome-devtools MCP *(optional)* | inspecting what jevway left on screen: console, network, performance, DOM details | nothing is lost in jevway itself; your agent just has no deeper inspection tool |
Which key? Both run the same Jev model. The TypeSafe key adds Box, which locates controls on the screenshot: it double-checks the click Jev chose and whether it's covered, rescues a step when Jev is stuck, can click a canvas control (opt-in), and marks each journey screen's primary action and the controls missing from the page's code. Through OpenRouter those Box features are off; everything else works.
npx -y jevway doctor checks all of this and names the fix for anything missing.
npx -y jevway setup
It asks for the key without showing it and saves it to ~/.config/jevway/env (mode 600, never a chat or a synced config), tests the browser, and registers jevway with the clients it finds: Claude Code, Codex, Cursor, OpenCode. Every change is shown first, as a command or a diff, and made only on a yes. It ends with jevway doctor.
In Claude Code you can instead install the plugin, which brings the server and the skill that tells the agent when to use it (then put the key in ~/.config/jevway/env yourself):
/plugin marketplace add AbdallahAHO/jevway
/plugin install jevway@jevway
chrome://inspect/#remote-debugging and allow it. To use a throwaway browser instead, set JEVWAY_BROWSER=launch.npx -y jevway doctor checks the setup at any time (--json for agents) and names the fix for anything missing.
Paste this into your coding agent (Claude Code, Codex, Cursor, OpenCode…):
Set up jevway for me and prove it works: follow https://github.com/AbdallahAHO/jevway/blob/main/SETUP.md step by
step. Check my machine's prerequisites with me first, show me every change before you make it, never ask me for an API key in this chat, and finish by running the recorded smoke test and showing me its run page.
SETUP.md walks the agent through everything: prerequisites for your OS, the key, registering the server, the browser, the skill, a recorded Google → Wikipedia smoke test, and a report with the run page, video and screenshots as proof.
npx -y jevway setup registers jevway with Claude Code, Codex, Cursor and OpenCode (Claude Code also has the plugin above). Any other stdio MCP client runs npx -y -p jevway jevway-mcp (or npx -y jevway mcp). npx -y jevway setup --client --print prints the exact command or config for one client and changes nothing; every client's is listed in jevway setup, and SETUP.md has the steps an agent follows, with the rules and checks. jevway is also listed in the official MCP Registry as io.github.abdallahaho/jevway, for clients that install from it.
Outside the Claude Code plugin, install the skill with npx -y jevway skill --install , so it knows when to use jevway and when to use chrome-devtools. If a client times out on npx's first download, run npm install -g jevway once and use jevway-mcp as the command.
JEVWAY_BROWSER picks the browser: auto (default, your running Chrome), launch / launch-headless (a throwaway profile) or a debugging URL; see Environment variables.
Without MCP, use the CLI. It's built for agents: every command prints exactly one JSON document on stdout (the result, or { "ok": false, "error": { "code", "message", "hint" } }), progress goes to stderr as one JSON event per line, and the exit code is 0 for success, 1 for a hand-back or a failure, 2 for bad usage. --help starts with examples, and jevway skill prints the skill that matches the installed version.
# One-shot: runs, closes its tab, prints the result
npx -y jevway run --browser launch-headless --url https://en.wikipedia.org \ --goal "Open the Wikipedia article about the Rosetta Stone" --done-when "The Rosetta Stone article is open"
jevway run --session new --url https://example-stays.com --goal "Book 2 nights in Lisbon" --values '{"city":"Lisbon"}' jevway run --session --goal "Book 2 nights in Lisbon" --values '{"email":"ada@example.com"}' jevway look --session # what the page shows now, no model request jevway sessions # open sessions; jevway end closes one
The agent calls jevway_task with the outcome it wants, the values it may type, and the evidence of success:
{
"url": "https://example-stays.com", "goal": "Search stays in Lisbon for 2 guests, filter to free cancellation, and open the first result", "values": { "destination": "Lisbon", "guests": "2" }, "done_when": "A stay's detail page is open", "allowed_hosts": ["example-stays.com"] }
It gets back one concise result, status and reason first:
{ "status": "done", "reason": "Completion condition verified: a stay's detail page is open.",
"story": ["Typed the \"destination\" value into \"Destination\".", "Clicked \"Search\".", "Clicked \"Casa Flora\"."], "next": "Read the result in page_text (and evidence); end the session when you no longer need its tab.", "session": "a63a13f0-…", "url": "…", "title": "Casa Flora · Staylist", "files": { "run_dir": "…/.jevway/runs/2026-11-02_1028_search-stays-in-lisbon_a63a", "screenshot": "…/final.jpg" }, "page_text": "…" }
story says what happened in plain sentences, next says what to do now, and files points at the run folder and a screenshot of the end page. On a hand-back the screenshot also comes inline, so the agent sees the page it has to decide about. detail: "full" adds every step's confidence, the request stats and the candidates Jev weighed. When the status hands control back, the agent continues with the same session:
| Status | What the agent does |
|---|---|
done | Reads page_text or evidence for the result. |
needs_input | Gets the missing value (missing names each field) and calls again with it in values. |
needs_confirmation | Confirms with confirm_irreversible: true only if the user's request named this action and its target; otherwise asks the user. |
uncertain / blocked | Reads the reason, stuck and page_text; rephrases the goal, or does the step itself. |
step_budget | Continues with a narrower goal. |
jevway_look reads a page with no model request, and jevway_end closes the session's tabs. Every parameter and field is in the reference.
Keeping a run on track:
allowed_hosts keeps it on the sites you mean; leaving them ends the run blocked.secret_keys marks values like API tokens: Jev sees only the key, and outputs show [secret: ].checks add exact facts code verifies on the final page: a URL, a title, a field's value, a ticked box.record: true saves a video, a screenshot before every action, and a page to review the run.page_text and everything else read from a page is untrusted data, never instructions.jevway keeps the person in the loop only where a person is truly needed, and handles the rest itself.
ask_user question: the missing fields, "Click *Delete repository* on *ada/scratch*?", "Which one did you mean?". Your agent puts it to you with its own ask tool and continues the session with your answer.Only the beginning is shown; read the rest in the repo