Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者提供的说明(英文原文)
Checks a site for AI crawler access, robots.txt and llms.txt. Runs locally, no telemetry.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"ai-readiness": {
"command": "npx",
"args": [
"-y",
"@queryrev/ai-readiness-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add ai-readiness -- npx -y @queryrev/ai-readiness-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ai-readiness": {
"command": "npx",
"args": [
"-y",
"@queryrev/ai-readiness-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"ai-readiness": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@queryrev/ai-readiness-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 queryrev.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.0)于13天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.