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)
BYOK, fully local AI agent that tests your app/API and writes a real Playwright spec on success.
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.
FIVE46_LLM_PROVIDER, FIVE46_LLM_API_KEY, FIVE46_MCP_ALLOW_WRITES, FIVE46_MCP_ALLOW_DELETES, FIVE46_MCP_CONCURRENCYValues 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": {
"five46": {
"command": "npx",
"args": [
"-y",
"five46",
"mcp"
],
"env": {
"FIVE46_LLM_PROVIDER": "your-value",
"FIVE46_LLM_API_KEY": "your-value",
"FIVE46_MCP_ALLOW_WRITES": "your-value",
"FIVE46_MCP_ALLOW_DELETES": "your-value",
"FIVE46_MCP_CONCURRENCY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add five46 --env FIVE46_LLM_PROVIDER=your-value --env FIVE46_LLM_API_KEY=your-value --env FIVE46_MCP_ALLOW_WRITES=your-value --env FIVE46_MCP_ALLOW_DELETES=your-value --env FIVE46_MCP_CONCURRENCY=your-value -- npx -y five46 mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"five46": {
"command": "npx",
"args": [
"-y",
"five46",
"mcp"
],
"env": {
"FIVE46_LLM_PROVIDER": "your-value",
"FIVE46_LLM_API_KEY": "your-value",
"FIVE46_MCP_ALLOW_WRITES": "your-value",
"FIVE46_MCP_ALLOW_DELETES": "your-value",
"FIVE46_MCP_CONCURRENCY": "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": {
"five46": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"five46",
"mcp"
],
"env": {
"FIVE46_LLM_PROVIDER": "your-value",
"FIVE46_LLM_API_KEY": "your-value",
"FIVE46_MCP_ALLOW_WRITES": "your-value",
"FIVE46_MCP_ALLOW_DELETES": "your-value",
"FIVE46_MCP_CONCURRENCY": "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.
FIVE46_MCP_ALLOW_WRITES envFIVE46_MCP_ALLOW_DELETES envFIVE46_MCP_CONCURRENCY 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 sekharsdet, 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: FIVE46_LLM_PROVIDER, FIVE46_LLM_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 (0.2.3) reached the registry 3 months 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.
Say what should work, in plain English. An AI agent checks it against your real app or API, using your own LLM key, and hands you a real Playwright test.
You just built something and want to know whether it actually works, before writing a test. Give five46 a goal like *"log in and confirm the dashboard loads"* or *"create a user via POST, then confirm it via GET"*. An LLM (OpenAI, Anthropic, Gemini, Groq or AWS Bedrock, with your key) drives your real app or API one action at a time. It tells you honestly whether the goal was met, with a root-cause hypothesis when it wasn't. A successful run is saved as a standalone Playwright (or node:test) spec, so today's check becomes tomorrow's regression test, and running it needs no five46 or LLM.
npm install -g five46
npx playwright install chromium # one-time browser download five46 config # pick a provider and paste a key (Gemini's is free) five46 doctor # confirms the key works five46 test http://localhost:3000 --goal "log in as demo@example.com and confirm the dashboard says Welcome back"
You get a pass or fail (and a matching exit code), a report with screenshots and, for failures, a root-cause hypothesis, plus a five46-agent-*.spec.ts you can commit and run with npx playwright test. Testing an API instead? Use five46 api --goal "...". It's read-only unless you pass --allow-writes.
Status: early and actively developed. Verified end-to-end against dozens of real-world sites and APIs.
The five46 GitHub Action reads the Acceptance criteria section of a pull request's description and checks each item against the PR's preview deployment. It keeps one PR comment up to date with the verdict per criterion, why each failure failed, and a ready-to-commit spec for every criterion that passed.
on: deployment_status # Vercel, Netlify and other preview deploys
jobs: five46: if: github.event.deployment_status.state == 'success' runs-on: ubuntu-latest permissions: { contents: read, pull-requests: write } steps:
| five46 | Playwright Test Agents | playwright codegen | Cloud AI testing platforms | |
|---|---|---|---|---|
| You provide | A goal or acceptance criteria in plain English | A seed test and a request, inside an AI coding tool | Your own clicks | Test descriptions in their app |
| Runs | CLI, CI, GitHub Action or MCP tool | Inside an AI coding tool, such as VS Code | Locally, while you click | Their cloud |
| Built to give a pass/fail verdict on the app | Yes, with a root-cause hypothesis | Not its focus: it generates and repairs tests | No | Yes |
| API testing | Yes (node:test output) | Browser-focused | No | Varies |
| Proves assertions catch failures | Yes (--verify mutation check) | No built-in check | No | Varies |
| LLM and cost | Your key, any of 5 providers | Your coding agent's model | None | Their subscription |
| Your app data goes to | Only your LLM provider | Your coding agent's provider | Nowhere | Their platform |
| Output | Plain Playwright or node:test files | Plain Playwright files | Plain Playwright files | Usually their runner |
Already working in an AI coding tool and growing a Playwright suite there? Playwright's own agents are a great fit, especially the healer for keeping existing tests green. five46 is for getting a verdict: is this feature working right now, in CI or on a PR, for a browser flow or an API, with any LLM you already pay for. More detail is in Why five46.
--story splits a user story or ticket into independent scenarios and reports pass/fail per criterion.--verify-clean-session re-runs the spec cold; --verify mutates its assertions and requires them to fail.FIVE46_LLM_MODEL.--report JSON for dashboards, flaky-run detection (--repeat), video recording, and an MCP server for IDE assistants.five46 doctor, choosing modelsmode: "closed" shadow root aren't visible to the agent's page snapshot (a closed shadow root is deliberately inaccessible to external tooling in general, not just five46). *Open* shadow roots, the overwhelming majority of real-world web components, work fine, as do and content.Issues and pull requests are welcome. See CONTRIBUTING.md.
git clone https://github.com/sekharsdet/five46.git
cd five46 npm install npm run build node dist/cli.js test --goal "..." npm test
If five46 is useful to you, a ⭐ on GitHub helps other people find it.
MIT