Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
제작자가 쓴 설명(영어 원문)
Reliable web access for AI agents: smart HTTP, rotating proxies, and full-browser rendering.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
FOURA_API_KEY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.foura.ai/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"foura": {
"command": "npx",
"args": [
"-y",
"@fouradata/mcp"
],
"env": {
"FOURA_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http foura https://mcp.foura.ai/mcpclaude mcp add foura --env FOURA_API_KEY=your-value -- npx -y @fouradata/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"foura": {
"url": "https://mcp.foura.ai/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"foura": {
"command": "npx",
"args": [
"-y",
"@fouradata/mcp"
],
"env": {
"FOURA_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"foura": {
"type": "http",
"url": "https://mcp.foura.ai/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"foura": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@fouradata/mcp"
],
"env": {
"FOURA_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.foura.ai/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 foura.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: FOURA_API_KEY
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.8.3)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Browser Use, Chrome DevTools MCP, MCP Server Browser
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
FourA MCP
Reliable web access for AI agents.
Give your agent a public URL. FourA returns the content, whether the page needs a fast HTTP request, proxy rotation, or a full browser session.
Start with foura_auto: one URL in, typed content out. It chooses the appropriate fetch method and handles common blocks for you. Use foura_single, foura_proxy, or foura_browser when you want explicit control over the request path.
| Start simple | Reach difficult pages | Build predictable agent flows |
|---|---|---|
| One default tool for most URLs | HTTP, proxy rotation, and full-browser rendering | Typed outputs, stable error codes, and six ready-made prompts |
The included workflows cover product extraction, article cleanup, price monitoring, endpoint checks, and bulk URL fetching.
Use it from Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, or any MCP client. Run the npm package locally or connect to the hosted Streamable HTTP endpoint with the same FourA API key.
[Get an API key](https://foura.ai/dashboard/#api-keys) | [Read the MCP docs](https://foura.ai/docs/mcp/server) | [See the package on npm](https://www.npmjs.com/package/@fouradata/mcp)
One-click install:
Both buttons pre-fill the config with a YOUR_FOURA_API_KEY placeholder - replace it with your key. Or by hand: claude mcp add foura -- npx -y @fouradata/mcp (set FOURA_API_KEY in env first). Full per-client setup below.
Create or reveal an API key at foura.ai/dashboard/#api-keys (format pk_live_...). Then drop this into your MCP client's config:
{
"mcpServers": { "foura": { "command": "npx", "args": ["-y", "@fouradata/mcp"], "env": { "FOURA_API_KEY": "pk_live_..." } } } }
Claude Desktop gotcha: fully quit Claude Desktop (
Cmd+Qon macOS) before editing the config file. If the app is still running, it will overwrite your edits with its in-memory config on exit.
The npx command downloads the package on first launch and runs it as a subprocess of your MCP client. No global install needed. The same JSON works across MCP clients; only the config-file location changes:
| Client | Where the config lives |
|---|---|
| Claude Desktop (macOS) | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Claude Desktop (Windows) | %APPDATA%\Claude\claude_desktop_config.json |
| Claude Code | claude mcp add foura -- npx -y @fouradata/mcp (set FOURA_API_KEY in env first) |
| Cursor | ~/.cursor/mcp.json |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| VS Code (MCP extension) | .vscode/mcp.json in your workspace |
Restart the client and foura_auto, foura_single, foura_proxy, foura_browser show up in your tool list, plus six prompts under /prompts.
If your client supports the Streamable HTTP transport, point it at the hosted endpoint instead of running a local subprocess:
{
"mcpServers": { "foura": { "url": "https://mcp.foura.ai/mcp", "headers": { "Authorization": "Bearer pk_live_..." } } } }
For Claude Desktop, use the stdio config above. You can also bridge the hosted endpoint through mcp-remote:
{
"mcpServers": { "foura": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.foura.ai/mcp", "--header", "Authorization: Bearer pk_live_..."] } } }
foura_auto is the default - give it a URL and it returns the content, choosing the fetch method for you. The other three tools give you direct control over HTTP, proxy rotation, and browser rendering.
All four are marked readOnlyHint: true and openWorldHint: true per the MCP specification. Clients can use those annotations when deciding how to present or approve tool calls.
Every response carries human-readable text (content) plus a typed structuredContent JSON object validated against the tool's outputSchema. Your agent gets a predictable response contract instead of parsing prose.
foura_auto - smart fetch (the default)Give it a URL and get the content back. Use this first when you don't want to choose between HTTP, proxy rotation, and browser rendering. It handles common bot challenges and keeps the client surface small, with no proxy-attempt tuning required.
{
"url": "https://example.com", // optional: a substring the real page must contain, so auto can tell a // real page from a challenge page on protected targets "validate": { "data": { "accept": ["Example Domain"] } } }
The client surface is intentionally minimal: url (required), plus optional method, headers, data, validate, returnSession (default true), forceProxy (default true), timeout_ms (5000-180000, default 120000), ignoreProxies, exitClass (standard or premium, as on foura_proxy).
structuredContent shape: {status, headers, data, meta, session}. meta is always present - {rung, solved, attempts, credits} - so your agent can see how the request completed and how many credits it used. session ({proxy, cookies, userAgent}) is returned by default for follow-up requests (pass session.proxy into the proxy field). Send returnSession: false to omit it. There is no total_time field on auto.
exitClass: "premium" lets auto escalate to a premium exit once the standard pool cannot reach the page, and the result's exitClass says which class delivered. The standard pool goes first; once the premium traffic in your plan is spent the call goes on in the standard pool and reports standard. Neither class is an error. On a plan without premium exits the call is refused with code: "plan_limit_premium". exitClass: "standard" keeps auto off premium exits.
foura_single - fast HTTPOne HTTP request, response back. Use it for static pages, JSON APIs, and server-rendered HTML. unblocker defaults to true, so the request already carries a full browser header set; set it to false for a plain HTTP request.
{
"method": "GET", "url": "https://example.com" }
Supports custom headers, a body, per-stage timeouts, redirect controls, JSON auto-parse, a binary-buffer mode, and built-in response validation (validate.status.accept, validate.data.fail, and so on). If foura_single comes back blocked - status 403/429, a captcha page, challenge response headers, or a known challenge title - try a different browser profile (below), then escalate to foura_proxy. Start with maxTries: 5; protected targets may need 25-30. If the page also needs JavaScript to render, pass foura_proxy's returned proxy ID to foura_browser.proxy.
structuredContent shape: {status, headers, data, total_time, ...}. When the target ran a bot check, the response also carries defense; defense.solved: false means the body may be a challenge page rather than the content you asked for.
By default a request presents the latest Google Chrome. Some targets accept one browser and refuse another, so foura_single and foura_proxy let you pick:
{
"method": "GET", "url": "https://example.com", "browser": "Firefox", "os": "Windows" }
browser - Chrome, Edge, Safari, Firefox, or Tor.os - Windows, macOS, Android, or iOS. A family name accepts any of its versions; the exact labels in the catalogue narrow further.version - any version the catalogue lists for that browser. The newest match wins when several fit.profile - an exact id from the catalogue, when you already have one.The full catalogue is public at api.foura.ai/api/profiles, no key required, and its default field names the profile a request gets when you ask for nothing. Selection needs unblocker on, which is the default. A combination that does not exist returns an error listing what is available, so a request is never quietly sent as a browser you did not choose.
foura_proxy - rotating proxies with retrySame target shape as foura_single, but routed through rotating proxies with automatic retry on failure. Use it when a direct request is blocked or when the target requires a specific exit country.
{
"maxTries": 5, "exitCountries": ["CZ", "GB"], "request": { "method": "GET", "url": "https://example.com/pricing", "browser": "Chrome", "os": "Windows" } }
structuredContent adds proxy (the encoded ID of the proxy that succeeded) and total (outer timing including selection and retries). When the rotation had to move to another browser to get an answer, profile names the catalogue profile it settled on; pass it as profile to present the same browser on the next call. exitCountries is optional: values are trimmed, uppercased, and deduplicated; proxies with unknown exits are excluded; the request never falls back to an unrequested country. Selection uses the latest available country metadata, normally updated within ten minutes, and a scoped success returns that value as exitCountry. If no eligible proxy matches, the result uses code: "no_eligible_proxy".
The inner request takes the same browser-profile fields as foura_single: browser, os, version, or an exact profile.
`exitClass` - for a target the standard pool cannot reach. Set exitClass: "premium" and the request may escalate to a premium exit instead of only rotating within the standard pool. It is an allowance, not an instruction: the standard pool still races for the answer and usually wins, and a request it answers before any premium exit is tried costs no premium traffic. Once a premium exit has been tried, the traffic it carried counts toward your premium allowance even if that attempt failed; an attempt still running when another exit answered is stopped and not count
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