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)
Read any public web page as a clean AIDocument (Markdown + structure) through Lyrenth.
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": {
"lyrenth": {
"command": "npx",
"args": [
"-y",
"lyrenth-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add lyrenth -- npx -y lyrenth-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"lyrenth": {
"command": "npx",
"args": [
"-y",
"lyrenth-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": {
"lyrenth": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"lyrenth-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 lyrenth.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(0.1.7)于5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。
Read the web through Lyrenth's index from any MCP client.
Exposes three tools:
Reads resolve through Lyrenth's cross-caller cache, and for verified domains they return the site's canonical version.
Every tool declares all four MCP tool annotations (read-only, non-destructive, idempotent, and open or closed world) as explicit booleans, and the HTTP transport ships with a test suite covering its security posture.
If your MCP client supports remote HTTP servers with a custom header (Claude and Cursor remote connectors do), there is nothing to run:
https://api.lyrenth.com/mcpAuthorization: Bearer aiwk_your_key_hereSame three tools, same key. The npx path below is for clients that speak MCP over stdio, and for anyone who prefers a local process.
Download lyrenth-mcp.mcpb from the latest release and open it. Claude Desktop installs the server and asks for your API key; there is no config file to edit. The bundle carries the same code as the npm package.
To build it yourself: ./scripts/build-mcpb.sh.
Add to your MCP config (Claude Desktop: claude_desktop_config.json):
{
"mcpServers": { "lyrenth": { "command": "npx", "args": ["-y", "lyrenth-mcp"], "env": { "LYRENTH_API_KEY": "aiwk_your_key_here" } } } }
claude mcp add lyrenth -e LYRENTH_API_KEY=aiwk_your_key_here -- npx -y lyrenth-mcp
Then ask your assistant to read a page, for example: *"Read https://example.com/article and summarize it."* It will call read_url and get the cleaned AIDocument back.
| Tool | Arguments | Returns |
|---|---|---|
read_url | url (string, required), fresh (boolean, optional), max_tokens (integer, optional) | The page as a clean AIDocument: a short provenance header (token count + how much smaller than raw HTML) plus the Markdown body. fresh: true forces a fresh fetch instead of the cached copy; max_tokens caps the body to your context budget, trimmed at a clean paragraph or sentence boundary. |
read_urls | urls (array of 1-20 strings, required), fresh (boolean, optional), max_tokens (integer, optional) | Up to 20 pages in one call, each as a clean AIDocument, with per-URL error isolation (a failed URL is reported and doesn't block the others). Billed one credit per successfully-read URL. |
check_usage | none | Your plan tier, credits used against your monthly limit, credits remaining, and the reset date. |
| Env var | Required | Default | Notes |
|---|---|---|---|
LYRENTH_API_KEY | yes | none | Free key at https://lyrenth.com/signup |
LYRENTH_API_URL | no | https://api.lyrenth.com | Override for staging or self-host |
The server sends exactly two things to Lyrenth's API (api.lyrenth.com): the URLs you ask it to read, and your API key to authenticate and meter the call. Nothing else leaves your machine: no page content you hold locally, no conversation context, no telemetry. How Lyrenth handles fetched pages and account data is covered by the privacy policy: https://www.lyrenth.com/privacy.
MIT. See LICENSE.
npm install
npm run build LYRENTH_API_KEY=aiwk_... node dist/index.js # speaks MCP over stdio
Part of the Lyrenth project. The AIDocument format is an open contract; see https://lyrenth.com/llms-full.txt.