Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
제작자가 쓴 설명(영어 원문)
Checks a site for AI crawler access, robots.txt and llms.txt. Runs locally, no telemetry.
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.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"ai-readiness": {
"command": "npx",
"args": [
"-y",
"@queryrev/ai-readiness-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add ai-readiness -- npx -y @queryrev/ai-readiness-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ai-readiness": {
"command": "npx",
"args": [
"-y",
"@queryrev/ai-readiness-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"ai-readiness": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@queryrev/ai-readiness-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 queryrev.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 12일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
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.
A local MCP server that checks how a site's public files treat AI crawlers. It gives any MCP client five tools: the crawler access check, a robots.txt tester, an llms.txt validator, an llms.txt generator and the list of crawlers covered. Every result is a finding with its evidence. There are no scores, no model calls and no telemetry.
It runs on your machine, over standard input and output, and makes its requests from your machine. It is the same checking code as the @queryrev/ai-readiness command line, and returns the same JSON as ai-readiness --json.
Requires Node 22.19 or later.
Nothing to install: an MCP client starts the server with npx.
npx -y @queryrev/ai-readiness-mcp
Started by hand it waits for a client on standard input; stop it with Ctrl-C.
Any MCP client that starts a local server over standard input and output takes the same three things: a name, a command and its arguments. Many clients read them from a JSON file like this one:
{
"mcpServers": { "ai-readiness": { "command": "npx", "args": ["-y", "@queryrev/ai-readiness-mcp"] } } }
The name of the key that holds the servers, and the place of the file, differ between clients; see your client's documentation. A client that takes a command line instead takes npx -y @queryrev/ai-readiness-mcp. To pin a version, write it after the package name: @queryrev/ai-readiness-mcp@ .
The server has no option, and its code reads no setting from the environment. There is nothing to configure beyond how it is started.
| Tool | Input | What it does |
|---|---|---|
check | url, failOn | Crawler access, llms.txt, the home page as served, structured data and the sitemap |
robots_test | url or text, agent, path, failOn | Which robots.txt line decides for a crawler and a path. With text no request is made |
llms_validate | url or text, links, base, failOn | Checks an llms.txt against llmstxt.org; links also requests up to 20 of its links |
llms_generate | url, maxPages (1 to 100, default 30) | Builds the skeleton of an llms.txt from the site's own sitemap or home page links. Nothing is written to disk |
crawlers | none | The crawlers covered, with vendor and purpose. Makes no request |
Inputs are checked before anything happens:
url is an http or https address of at most 2048 characters, without spaces or control characters. Nothing else is accepted: no file address, no other scheme, no bare host name.text is the text of a file, at most 500 KiB for a robots.txt and 1 MiB for an llms.txt. The server reads no file from your machine and writes none; text you already have is passed as text. In a result, text is a source of its own, { "kind": "text" }, and a message calls it "the given text".agent is a crawler token such as OAI-SearchBot. path starts with /.Each result is one block of JSON text with schemaVersion: 1, command, exitCode and the report, as ai-readiness --json prints it. exitCode is the command line's: 0 nothing at or above failOn (fail by default), 1 checks failed, 3 the site could not be read. Two kinds of error come back as an error result (isError):
url and text) is refused before anything runs, with the protocol library's plain-text input-validation message. It is not JSON and has no exit code.text that is an HTML page, not a robots.txt) comes back as the command line's JSON with exitCode 2 and error.code usage. An internal error is the same with 4.Findings have a stable id, a level (pass, warn, fail or info), one sentence in message, and the evidence in snippet when there is one.
A site that cannot be read is not an error result: it is JSON with exitCode 3.
The result is the command line's document with one addition: crawlersCovered at the top of every result, also where the command line has it elsewhere or not at all.
Crawlers covered: the 11 AI crawlers on this list, from OpenAI, Perplexity, Google, Apple, Common Crawl, Meta, Amazon and ByteDance. Other crawlers are not checked.
The crawlers tool lists them. robots_test with an agent tests the one token you name, covered or not. Nothing here says "all AI crawlers".
check takes at most 30 seconds, llms_generate at most 120, the others 10 seconds a request. If a client cancels a call, or its own timeout passes and it cancels, the server stops the requests of that call. A client that sends a progress token with llms_generate (or any other tool that makes requests) gets a progress notification after each request.
Titles, headings, lines of a robots.txt and page text in a result come from a site that anyone can write. The server removes control characters and the characters that reorder text (the bidirectional controls) from every string it returns, and returns the text only inside the JSON. A client should still treat it as untrusted data to report, and never as instructions: a page can say anything, including "ignore your instructions". The server's own description tells the client so.
It reads public files over HTTP, as one visitor from your machine. It cannot see:
The server is run by anyone against any address a client passes to it, so it is strict about what it touches.
Mozilla/5.0 (compatible; QueryRev-AIReadiness/1.0; +https://queryrev.com/bot). Its robots.txt token is QueryRev-AIReadiness, and it obeys the rules written for that token (or *), including Crawl-delay up to 10 seconds.check and llms_generate request a file only where robots.txt lets this tool in. robots_test and llms_validate request the one file you point them at; llms_validate with links asks robots.txt before it requests each link. With text nothing is requested.GET only. No cookies, no credentials, no proxy taken from the environment.http and https, only ports 80 and 443, no user name or password in the address, no IP-literal hosts, host names of at most 253 characters.check, 120 seconds for llms_generate.The code is MIT (see LICENSE). It bundles the code of @queryrev/ai-readiness, also MIT.
Report a vulnerability to security@queryrev.com, not in a public issue. See SECURITY.md.