Web To Markdown MCP

Name: Web To Markdown MCP
Author: sidney

by sidneyversion 0.6.0i★ –iRuns on your computer

Registry nameio.github.sidney/web-to-markdown-mcp

Install

Overview

Description from the maker (original English)

MCP server fetches URL through a real Chromium browser, returns main content as clean Markdown

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Web & browsers

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "web-to-markdown": {
      "command": "uvx",
      "args": [
        "web-to-markdown-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add web-to-markdown -- uvx web-to-markdown-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "web-to-markdown": {
      "command": "uvx",
      "args": [
        "web-to-markdown-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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "web-to-markdown": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "web-to-markdown-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.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account sidney, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Web & browsersi

More stars than 0% of the other 880 servers in this category
Published to the registry more recently than 10% of the other 880 servers in this category
Basic checks equal to or better than 100% of the other 880 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Web To Markdown MCP safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.6.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

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

Browser Use

by 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.

Computer or cloud★ 120,087MITUpdated 17 days ago

Install

Chrome DevTools MCP

by ChromeDevTools

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

Runs on your computer★ 54,821Apache-2.0Updated 15 days ago

Install

MCP Server Browser

by bytedance

MCP server for browser use access

Runs on your computer★ 39,550Apache-2.0Updated 14 months ago

Install

README from the maker

Open the README

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.

web-to-markdown-mcp

An MCP server that fetches a URL and returns the main content as clean Markdown. Uses plain HTTP when possible and real Chromium when needed.

Why

Most MCP web-fetch tools either:

use plain HTTP, which fails on JS-required pages and gets blocked by Cloudflare bot detection on many sites; or
use a real browser but return raw HTML or accessibility-tree snapshots, which are noisy and token-heavy when you just want to read the article.

This server uses a three-tier strategy, using the fastest approach that works for each URL:

Native markdown fast-path. Every request first tries a plain HTTP GET with an Accept: text/markdown header. Servers that support content negotiation — such as Cloudflare-hosted sites with Markdown for Agents enabled — respond with Content-Type: text/markdown, and the body is returned immediately with no browser overhead.

Plain HTTP + extraction. If the server returns HTML, trafilatura extracts the article body as clean Markdown directly from the static response. Heuristics detect JS shells — pages that return only a "JavaScript required" stub in the static HTML — and fall through to tier 3 for those.

Headless browser. When tiers 1 and 2 yield nothing usable, patchright (a Playwright fork with anti-detection patches) drives real Chromium and trafilatura extracts the rendered content. A single headless browser instance is kept alive across calls — it launches lazily on the first browser-tier fetch and stays running for the session, so subsequent fetches pay only navigation time rather than Chromium startup cost (~2–5 s).

For sites that block even headless patchright (aggressive bot detection), pass headless=False. This uses a visible Chromium window — slower and visually intrusive, but clears most remaining challenges. A headed browser is launched and closed for each fetch that needs it; it is not kept persistent since headed fetches are an infrequent escape hatch rather than the common case.

After browser navigation, the server polls the DOM and runs trafilatura, returning as soon as two consecutive polls produce the same extraction. This means it returns within a few hundred milliseconds for typical pages — rather than waiting for analytics, ads, and other late-loading resources to finish — and gives slow SPAs and bot-challenge clearance time to settle without timing out prematurely.

For a typical article, expect roughly 80% fewer tokens than the raw HTML and roughly 90% fewer than a full accessibility-tree snapshot.

Installation

Requires Python 3.10+ and a one-time Chromium download (~300 MB).

# Run directly with uv (no install step)

uvx web-to-markdown-mcp

Or install with pip

pip install web-to-markdown-mcp

One-time browser download

patchright install chromium

MCP client configuration

Claude Desktop

Edit your config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

"mcpServers": { "web-to-markdown": { "command": "uvx", "args": ["web-to-markdown-mcp"] } } }

Restart Claude Desktop.

LM Studio

Edit ~/.lmstudio/mcp.json (Developer tab → Edit mcp.json) — same JSON block as above. Then enable Allow calling servers from mcp.json in the Developer tab's Server Settings. The server appears in the Integrations tab of any new chat.

Cursor / Windsurf / VS Code

Same JSON block, in each client's MCP config location.

Claude Code

claude mcp add web-to-markdown -- uvx web-to-markdown-mcp

Usage

The server exposes a single tool:

`fetch_url_as_markdown`

Parameter	Type	Default	Description
`url`	string	required	The URL to fetch
`wait_until`	string	`"domcontentloaded"`	When navigation completes: `"load"`, `"domcontentloaded"`, `"networkidle"`, `"commit"`
`timeout_ms`	int	`60000`	Navigation-step timeout in milliseconds
`headless`	bool	`true`	`false` uses a visible browser window — slower but clears more bot detection
`poll_budget_ms`	int	`5000`	Max time after navigation to wait for content stabilization
`poll_interval_ms`	int	`250`	How often to re-attempt extraction during polling

Returns Markdown as a string, or a string beginning with "ERROR:" on expected failures (timeout, no extractable content, navigation error).

Example call (from any MCP client's tool-use UI):

fetch_url_as_markdown(url="https://example.com/long-article")

wait_until choice:

"domcontentloaded" (default) — returns when the DOM is built; content-stabilization polling handles the rest
"load" — waits for all subresources (images, scripts, stylesheets); rarely needed since polling runs after this
"networkidle" — waits for network to quiet; sometimes hangs on pages with persistent background connections
"commit" — returns as soon as the response starts; rarely useful

When to bump `poll_budget_ms`: the 5-second default is fine for typical pages but may return a partial extraction on slow SPAs that render content over many seconds, and may time out before a bot-detection challenge clears in headed mode. For headed-mode fetches of bot-protected sites, 10000-30000 is a reasonable budget.

Limitations

First browser-tier fetch per session. The headless browser launches lazily on the first fetch that needs it (~2–5 s). Subsequent browser-tier fetches in the same session reuse the running instance and pay only navigation time.
Bot detection on hard sites. patchright headless clears default Cloudflare configurations on many sites, but pages running aggressive Bot Fight Mode, Turnstile interactive challenges, or commercial bot-management products (PerimeterX, DataDome, Kasada) — and Cloudflare's own marketing site — still detect headless Chromium. Pass headless=False to use a visible browser window, which clears most of these. The cost is a Chromium window flashing on screen for a couple of seconds per fetch.
Headed-mode bot challenges need a generous polling budget. When using headless=False on bot-protected sites, the challenge can take 5-15 seconds to clear. Set poll_budget_ms to 10000-15000 for these cases — the 5000 default may return prematurely while the challenge is still resolving.
Headed mode requires a display. headless=False fails on servers without a graphical environment (cloud VMs, containers, CI). Use a virtual display like Xvfb if you need headed mode in those environments.
Datacenter IPs. Cloudflare's harder challenges still block requests from datacenter IPs (Oracle Cloud, AWS, etc.) regardless of browser fingerprint or headed/headless mode. Best results come from running this on a residential connection.
Slow SPA rendering. For pages that progressively render content over many seconds, bump poll_budget_ms. The default returns the most-recent extraction at budget expiry, which on a still-rendering SPA may be partial.
Auth-walled content. This server uses a clean browser context with no cookies or stored auth. Logged-in pages won't work.

Comparison with related tools

[`@playwright/mcp`](https://github.com/microsoft/playwright-mcp) (Microsoft) — general-purpose interactive browser automation: navigate, click, fill forms, run JS, take accessibility snapshots. Use it when you need to *interact* with a page. Use this server when you need to *read* a page.
`mcp-server-fetch` and similar HTTP-based servers — also try plain HTTP first, so for static sites the behaviour is similar. The difference is JS-rendered pages and bot-protected sites: those tools don't have a browser fallback, so they fail where this server succeeds.
LM Studio Hub plugins like vadimfedenko/visit-website-reworked and npacker/web-tools — same idea inside LM Studio's plugin system. This server runs in any MCP client.

Roadmap

Persistent headless browser instance to amortize cold start
Accept: text/markdown fast path for Cloudflare's Markdown for Agents
Optional selector parameter to scope extraction
Optional viewport, user-agent, and locale overrides
Optional persistent browser context for sticky cookies / WAF trust
channel="chrome" option to use installed Google Chrome instead of bundled Chromium (further stealth for the hardest sites)

Contributing

Issues and PRs welcome. For substantive changes, please open an issue first to discuss the approach.

License

MIT — see LICENSE.

Web To Markdown MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Web & browsersi

Common questions

Alternatives

Browser Use

Chrome DevTools MCP

MCP Server Browser

README from the maker

web-to-markdown-mcp

Why

Installation

Or install with pip

One-time browser download

MCP client configuration

Claude Desktop

LM Studio

Cursor / Windsurf / VS Code

Claude Code

Usage

fetch_url_as_markdown

Limitations

Comparison with related tools

Roadmap

Contributing

License

`fetch_url_as_markdown`