Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
Converts HTML to Markdown with auto-summary and section extraction. Supports Playwright.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"html2md": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/sunshad0w/html2md-mcp"
]
}
}
}Run this in your terminal
claude mcp add html2md -- docker run -i --rm docker.io/sunshad0w/html2md-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"html2md": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/sunshad0w/html2md-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"html2md": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/sunshad0w/html2md-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account sunshad0w, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 12 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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