Browser Use
by 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.
Computer or cloud★ 120,087MITUpdated 16 days ago
Install
Thinkrun
Overview
Description from the maker (original English)
Browser control + session recording MCP for AI coding agents (Claude Code, Cursor) — real Chrome.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Web & browsers
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
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": {
"thinkrun": {
"command": "npx",
"args": [
"-y",
"@thinkrun/mcp"
]
}
}
}Run this in your terminal
claude mcp add thinkrun -- npx -y @thinkrun/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"thinkrun": {
"command": "npx",
"args": [
"-y",
"@thinkrun/mcp"
]
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"thinkrun": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@thinkrun/mcp"
]
}
}
}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.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account dundas, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Web & browsersi
- More stars than 0% of the other 875 servers in this category
- Published to the registry more recently than 92% of the other 875 servers in this category
- Basic checks equal to or better than 100% of the other 875 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Thinkrun safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
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).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.3.14) reached the registry 3 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Alternatives
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
Chrome DevTools MCP
by ChromeDevTools
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
Runs on your computer★ 54,821Apache-2.0Updated 15 days ago
Install
MCP Server Browser
by bytedance
MCP server for browser use access
Runs on your computer★ 39,550Apache-2.0Updated 14 months ago
Install
README from the maker
Open the README
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.
ThinkRun — Screen Recorder for AI Coding Agents
Stop screenshotting bugs and typing paragraphs to explain them. ThinkRun records any browser session — or lets your agent record what it built — and turns it into structured context your AI coding agent can act on: every click, the console, network requests, your voice narration, and screenshots, all time-synced. Not just a screenshot. Not just a video.
Works with Claude Code, Cursor, Cline, Windsurf, and any MCP client.
Install
npx @thinkrun/mcpOr install the CLI globally:
npm install -g @thinkrun/cliThe CLI automatically installs the native host binary, which lets AI tools control Chrome.
Add to your MCP config
{"mcpServers": { "thinkrun": { "command": "npx", "args": ["@thinkrun/mcp"] } } }
Config location:
- Claude Code:
~/.claude/settings.json - Cursor:
.cursor/mcp.json - Cline: VS Code settings → Cline MCP Servers
Then ask your agent: *"navigate to localhost:3000 and screenshot the checkout page"* — or record the bug yourself and hand the agent the result.
Why ThinkRun
Other tools give your agent eyes. ThinkRun gives it structured sight — context it can parse in one pass instead of you re-explaining the page.
| ThinkRun | Playwright MCP | |
|---|---|---|
| Records a session into structured, replayable context | ✅ | ❌ drive-only |
| Turns a recording into an AI-ready report (clicks, console, network) | ✅ | ❌ |
| Shareable link, also as LLM-ready Markdown / JSON | ✅ | ❌ |
| Uses your real Chrome — your cookies & sessions | ✅ | ❌ headless only |
| Runs alongside your browser, no profile conflict | ✅ | ❌ fights for Chrome profile |
Agent skills for Claude Code, Cursor, Codex & Gemini CLI
Six portable agent skills ship in this repo, mirrored for every major harness (.claude/skills/, .cursor/skills/, .codex/skills/, .gemini/skills/):
- prove-it — the prove step of a software-factory workflow: named test targets in, a pass/fail table with a screenshot, console and network capture per target out, posted to the PR; any non-pass row sends the change back to build.
- before-after — the ship step: two captures at the same viewport, one
| Before | After |table for the PR, no public paste host. - web-browse — browse the web programmatically: drive a real or cloud browser to navigate, interact, extract, and screenshot.
- ux-audit — walk through a product UI as a real user, screenshot every step, and produce a structured UX report with a prioritized fix list.
- thinkbrowse-cli — drive the browser from shell scripts via the
thinkrunCLI. - thinkbrowse-mcp — drive the browser through the ThinkRun MCP server's tools.
Install without cloning — the repo is served as a live MCP server that auto-updates on every commit:
{ "mcpServers": { "thinkrun-skills": { "url": "https://mcp.skillsovermcp.com/mcp/dundas/thinkrun" } } }Trigger accuracy is measured, not claimed. Every skill ships a 20-query trigger-eval fixture, and evals/BENCHMARK.md publishes the results: with the six-skill catalog (v4, 2026-09-18), 120/120 on GPT-5.6-terra and Claude Fable 5 and 113/120 on Claude Sonnet 5 (its documented strict-MCP reading, not a crash); the earlier four-skill matrix scored 79–80/80 on 12 of 16 model configurations. Catalog-ablation runs show the browsing skills absorb each other's traffic when installed as a subset, and that prove-it fills a gap rather than duplicating a sibling (before-after folds into prove-it when absent). Reproduce with bun evals/run-eval.ts build.
Manual binary install
If you need to install the native host without the CLI, download the binary for your platform from the latest release and run:
chmod +x thinkbrowse-host-* && ./thinkbrowse-host-* --installThe native host binary keeps the
thinkbrowse-hostfilename for now — it's the same signed binary, unchanged by the rename.
FAQ
How do I give Claude Code (or Cursor) access to my browser?
Add ThinkRun as an MCP server — npx @thinkrun/mcp — and your agent can drive and read a real Chrome session, your cookies and logins included. See "Add to your MCP config" above.
How do I show Cursor a UI bug instead of pasting a screenshot?
Record the bug with ThinkRun. Instead of a flat image, your agent gets a structured artifact — the steps you took, the console errors, the failing network requests, and the DOM state at the moment it broke — so it fixes the actual problem instead of guessing from a picture.
Is there an MCP server that uses my real Chrome cookies and sessions?
Yes. ThinkRun runs against your real Chrome via a native host, so authenticated pages just work — no headless re-login, no separate profile, no fighting your browser for the Chrome profile.
How do I record a browser session for an AI coding agent?
Run npx @thinkrun/mcp (or npm i -g @thinkrun/cli) and record any session — or let the agent record what it built. ThinkRun turns it into an AI-ready report (clicks, console, network, narration, screenshots, all time-synced), available as a shareable link and as LLM-ready Markdown/JSON.
How do I give my AI coding agent context about what went wrong?
Hand it a ThinkRun recording. The structured "what happened" — actions, first bad signal, expected vs actual, and the element state — is exactly the context an agent needs to land a fix on the first try.