MCP Url2markdown

@sungithubid

Repository

Basic information

About MCP Url2markdown

url to markdown mcp server

#mcp-url2markdown#markdown-converter #web-content

MCP Url2markdown config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-url2markdown": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

MCP Url2markdown tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is mcp-url2markdown?

mcp-url2markdown is an MCP server that converts webpage content into clean, formatted Markdown using the crawl4ai library. It is designed for developers who need to extract and reformat web page text for use in AI coding assistants or other tools.

How to use mcp-url2markdown?

Clone the repository and run uv sync to install dependencies. Start the server with fastmcp dev server.py to run in development mode on http://127.0.0.1:6274, or configure it as an MCP tool in Cursor, cline, or roo code using the provided JSON config.

Key features of mcp-url2markdown

Converts web pages to clean, structured Markdown.
Powered by the crawl4ai library.
Works with MCP-compatible AI coding tools.
Easy local setup with uv and FastMCP.
Provides a development server for testing.

Use cases of mcp-url2markdown

Convert API documentation pages into Markdown for reference.
Extract content from any URL for use in LLM prompts.
Integrate with AI coding assistants to fetch and format web data.

Frequently asked questions

What does mcp-url2markdown do?

It takes a URL, fetches the webpage, and returns the main content as clean, formatted Markdown.

How do I run the server locally?

Run `fastmcp dev server.py` after installing dependencies. The server will be available at `http://127.0.0.1:6274`.

What are the runtime requirements?

The server requires Python, uv, and the crawl4ai library, which are installed via `uv sync`. It uses FastMCP for the MCP interface.

Can I use mcp-url2markdown with Cursor or roo code?

Yes. Configure it by adding the provided JSON block to your MCP settings, specifying the correct path to the cloned repository.

Does the server require authentication or network access?

No authentication is mentioned. The server fetches public URLs, so a working internet connection is needed to access web pages.

Comments

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