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MCP Url2markdown
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MCP Url2markdown

A tool based on crawl4ai that can convert web page content into formatted Markdown text, supporting use through a FastMCP server or code editor plugin.
Developer toolsKnowledge management and memory#Web page conversion#Markdown tool#FastMCP service#Content extraction.Python
2 points
6.5K
Open Site

Overview

Installation

Content Details

Alternatives

What is mcp-url2markdown?

mcp-url2markdown is an MCP server that can automatically convert the content of any web page URL into well-structured and properly formatted Markdown text. Based on crawl4ai technology, it can intelligently extract the main body of the web page and remove irrelevant elements.

How to use mcp-url2markdown?

You can obtain the converted Markdown content by providing a URL through a simple HTTP request or by integrating it into development tools. It supports running as a local service or integrating into development environments such as Cursor/VS Code.

Applicable scenarios

• Content scraping and formatting • Knowledge base content import • Research material organization • Development document conversion

Main features

Intelligent web page conversion
Automatically identify the main body of the web page, remove noise content such as advertisements and navigation, and retain the core structure such as headings, lists, and code blocks.
Development tool integration
Supports deep integration with development tools such as Cursor/VSCode/RooCode, providing a quick conversion function.
FastMCP service
Based on the FastMCP framework to implement a high-performance conversion service, supporting fast local deployment.
Advantages
Maintain the semantic structure of the original content
Output clean and readable Markdown
Simple and easy-to-use API interface
Support integration with mainstream development tools
Limitations
Complex web page layouts may affect the conversion effect
Requires a Python runtime environment
Limited support for dynamically loaded content

How to use

Installation preparation
Clone the repository and install dependencies
Start the service
Activate the virtual environment and start the FastMCP service
Access and test
Access http://127.0.0.1:6274/ in the browser for functional testing

Usage examples

API documentation conversion
Convert DeepSeek API documentation to Markdown format
Technical blog archiving
Convert technical blog articles into editable Markdown notes

Frequently asked questions

Does it need to be used online?
What types of web pages are supported?
How to integrate it into VS Code?

Related resources

GitHub repository
Project source code and the latest version
crawl4ai project
The underlying web scraping engine used
FastMCP documentation
Technical documentation for the service framework

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "url2md": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp-url2markdown",
        "run",
        "server.py"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": [],
      "alwaysAllow": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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