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)
Converts HTML to Markdown with auto-summary and section extraction. Supports Playwright.
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": {
"html2md": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/sunshad0w/html2md-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add html2md -- docker run -i --rm docker.io/sunshad0w/html2md-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"html2md": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/sunshad0w/html2md-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": {
"html2md": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/sunshad0w/html2md-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6日
注册名称已通过 GitHub 账户 sunshad0w 验证,该账户拥有此仓库
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(0.3.0)于12个月前进入注册中心。
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 Docker。
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。
MCP (Model Context Protocol) server for converting HTML webpages to clean Markdown format. Reduces HTML size by ~90-95% while preserving tables, images, and important content - perfect for AI context.
trafilatura and BeautifulSoup4 for robust extractionuv package manager (recommended) or pip# Clone the repository
git clone cd html2md
uv pip install -e .
playwright install chromium
# Clone the repository
git clone cd html2md
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -e .
playwright install chromium
The easiest way to use html2md is with Docker:
# Build the image
docker build -t html2md .
docker pull your-registry/html2md:latest
For Claude Desktop, configure with Docker:
{
"mcpServers": { "html2md": { "command": "docker", "args": [ "run", "-i", "--rm", "html2md" ] } } }
Docker Image Features:
Add the server to your Claude Desktop configuration file:
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "html2md": { "command": "uv", "args": [ "--directory", "/absolute/path/to/html2md", "run", "html2md" ] } } }
Edit %APPDATA%/Claude/claude_desktop_config.json:
{
"mcpServers": { "html2md": { "command": "uv", "args": [ "--directory", "C:\\absolute\\path\\to\\html2md", "run", "html2md" ] } } }
Edit ~/.config/Claude/claude_desktop_config.json:
{
"mcpServers": { "html2md": { "command": "uv", "args": [ "--directory", "/absolute/path/to/html2md", "run", "html2md" ] } } }
Once configured, the MCP server will be available in Claude Desktop. You can use the html_to_markdown tool:
Convert this webpage to markdown: https://example.com/article
Use the html_to_markdown tool with:
Use the html_to_markdown tool with:
Use the html_to_markdown tool with:
Note: For use_user_profile=true, make sure Chrome is closed before running.
Basic Parameters:
url (required): URL of the webpage to convertinclude_images (optional, default: true): Include images in Markdowninclude_tables (optional, default: true): Include tables in Markdowninclude_links (optional, default: true): Include links in Markdowntimeout (optional, default: 30): Request timeout in seconds (5-120)Performance Parameters:
max_size (optional, default: 10MB): Maximum size of content to download in bytes (1MB-50MB)use_cache (optional, default: false): Enable caching for faster repeated conversionscache_ttl (optional, default: 3600): Cache time-to-live in seconds (60-86400)Browser Mode Parameters:
fetch_method (optional, default: "fetch"): Fetch method - "fetch" (fast) or "playwright" (handles JS, auth)browser_type (optional, default: "chromium"): Browser to use - "chromium", "firefox", or "webkit"headless (optional, default: true): Run browser in headless modewait_for (optional, default: "networkidle"): Wait strategy - "load", "domcontentloaded", or "networkidle"use_user_profile (optional, default: false): Use your browser profile with cookies (requires Chrome closed)uv pip install -e ".[dev]"
pytest
# Format with black
black src/ tests/
ruff check src/ tests/
mypy src/
The project consists of three main modules:
converter.pyCore HTML to Markdown conversion functionality:
fetch_html(): Downloads HTML from URLclean_html(): Removes unnecessary elements with BeautifulSoupconvert_to_markdown(): Converts cleaned HTML to Markdown with trafilaturahtml_to_markdown(): Main workflow combining all stepsserver.pyMCP server implementation:
html_to_markdown toolutils.pyUtility functions:
cache.pyIn-memory caching system:
SimpleCache class with TTL supportbrowser.pyPlaywright browser automation:
fetch_html_playwright() - Async browser-based HTML fetchingclaude_desktop_config.json is absolute and correct# Verify Python version
python --version # Should be 3.10+
uv pip install --force-reinstall -e .
timeout parameterfetch_method: playwright to execute JavaScriptmax_size parameter (up to 50MB) or the page exceeds limitsuse_cache: false if you need fresh contentplaywright install chromiumuse_user_profile: truewait_for strategies:"load" - fastest, waits for page load event"domcontentloaded" - waits for DOM to be ready"networkidle" - slowest but most reliable, waits for network to be idlebrowser_type: chromium and use_user_profile: trueTypical conversion results:
MIT
Contributions are welcome! Please feel free to submit issues or pull requests.
Built with: