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MCP server · Scraping

Urltomarkdown MCP

MCP server for converting URLs and HTML to clean Markdown

34Low

Scored 6 months ago · breakdown

About Urltomarkdown MCP

Urltomarkdown MCP is an MCP server in the Scraping category: mCP server for converting URLs and HTML to clean Markdown.

Install

From source
git clone https://github.com/SapienEx-AI/urltomarkdown-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (2)

convert_html_to_markdownConvert raw HTML to clean Markdown

Parameters not published.

convert_url_to_markdownFetch a URL and convert its web page content to clean Markdown

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

urltomarkdown-mcp

npm version

An MCP server that converts URLs and raw HTML to clean Markdown. Built on top of urltomarkdown.

Give any MCP-compatible AI assistant the ability to read web pages — just point it at a URL and get structured Markdown back, ready for summarization, analysis, or ingestion into your workflow.

Tools

convert_url_to_markdown

Fetches a URL and converts the web page to clean Markdown.

Parameter Type Required Default Description
url string (URL) yes - URL to fetch and convert
inline_title boolean no true Prepend page title as H1
ignore_links boolean no false Strip hyperlinks
readability boolean no true Use Readability for cleaner output

convert_html_to_markdown

Converts raw HTML to clean Markdown (no network request needed).

Parameter Type Required Default Description
html string yes - Raw HTML to convert
url string (URL) no - Source URL for relative links and domain filters
inline_title boolean no true Prepend page title as H1
ignore_links boolean no false Strip hyperlinks
readability boolean no true Use Readability for cleaner output

Use cases

  • Research — Have your AI assistant read and summarize articles, documentation, or blog posts
  • Data extraction — Pull structured content from web pages for analysis
  • Documentation ingestion — Convert API docs or reference pages into Markdown for context
  • Content migration — Bulk convert web content to Markdown format
  • RAG pipelines — Feed clean web content into retrieval-augmented generation systems

Installation

Using npx (no install needed)

{
  "mcpServers": {
    "urltomarkdown": {
      "command": "npx",
      "args": ["-y", "urltomarkdown-mcp"]
    }
  }
}

Global install

npm install -g urltomarkdown-mcp

Then add to your MCP config:

{
  "mcpServers": {
    "urltomarkdown": {
      "command": "urltomarkdown-mcp"
    }
  }
}

From source

git clone https://github.com/SapienEx-AI/urltomarkdown-mcp.git
cd urltomarkdown-mcp
npm install
{
  "mcpServers": {
    "urltomarkdown": {
      "command": "node",
      "args": ["/path/to/urltomarkdown-mcp/src/index.js"]
    }
  }
}

Where to put the config

Client Config file
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Claude Code ~/.claude/settings.local.json or project .mcp.json
Cursor .cursor/mcp.json in your project root
Windsurf ~/.codeium/windsurf/mcp_config.json

How it works

This server wraps the urltomarkdown library and exposes it over the Model Context Protocol via stdio transport. Under the hood it uses:

  • Turndown for HTML-to-Markdown conversion
  • Mozilla's Readability for content extraction and noise removal
  • JSDOM for DOM parsing

The Readability pass strips navigation, sidebars, ads, and other non-content elements before conversion, producing clean output suitable for LLM consumption.

Testing

npm test

License

MIT


SapienEx — AI strategy and consulting

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Urltomarkdown MCP

How do I install Urltomarkdown MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Urltomarkdown MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Urltomarkdown MCP still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.