Readability Parser
Extracts and transforms webpage content into clean, LLM-optimized Markdown using the Readability algorithm.
MCP Server Readability Parser (Python / FastMCP)
Credits/Reference
This project is based on the original server-moz-readability implementation of emzimmer. (For the original README documentation, please refer to the original README.md.)
This Python implementation adapts the original concept to run as python based MCP using FastMCP
Mozilla Readability Parser MCP Server
A Python implementation of the Model Context Protocol (MCP) server that extracts and transforms webpage content into clean, LLM-optimized Markdown.
Table of Contents
Features
- Removes ads, navigation, footers and other non-essential content
- Converts clean HTML into well-formatted Markdown
- Handles errors gracefully
- Optimized for LLM processing
- Lightweight and fast
Why Not Just Fetch?
Unlike simple fetch requests, this server:
- Extracts only relevant content using Readability algorithm
- Eliminates noise like ads, popups, and navigation menus
- Reduces token usage by removing unnecessary HTML/CSS
- Provides consistent Markdown formatting for better LLM processing
- Handles complex web pages with dynamic content
Installation
- Clone the repository:
git clone https://github.com/jmh108/MCP-server-readability-python.git
cd MCP-server-readability-python
- Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activate
- Install dependencies:
pip install -r requirements.txt
Quick Start
- Start the server:
fastmcp run server.py
- Example request:
curl -X POST http://localhost:8000/tools/extract_content \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com/article"}'
Tool Reference
extract_content
Fetches and transforms webpage content into clean Markdown.
Arguments:
{
"url": {
"type": "string",
"description": "The website URL to parse",
"required": true
}
}
Returns:
{
"content": "Markdown content..."
}
MCP Server Configuration
To configure the MCP server, add the following to your MCP settings file:
{
"mcpServers": {
"readability": {
"command": "fastmcp",
"args": ["run", "server.py"],
"env": {}
}
}
}
The server can then be started using the MCP protocol and accessed via the parse tool.
Dependencies
- readability-lxml - Content extraction
- html2text - HTML to Markdown conversion
- beautifulsoup4 - DOM parsing
- requests - HTTP requests
License
MIT License - See LICENSE for details.
관련 서버
Bright Data
스폰서Discover, extract, and interact with the web - one interface powering automated access across the public internet.
TheirStack
Search job postings, companies, and technology stacks across 10M+ companies.
Playwright Record MCP
Browser automation using Playwright with video recording. Enables LLMs to interact with web pages through structured accessibility snapshots.
Fetch
Fetch web content in various formats like HTML, JSON, plain text, and Markdown.
Horse Racing News
Fetches horse racing news from the thoroughbreddailynews.com RSS feed.
Firecrawl MCP
Adds powerful web scraping and search capabilities to LLM clients like Cursor and Claude.
MCP360
MCP360 is a unified gateway and marketplace that provides 100+ external tools and custom MCPs through a single integration for AI agents.
Playwright MCP
Automate web interactions and perform web scraping tasks using the Playwright framework.
MCP Chrome Server
A server for browser automation using Google Chrome, based on the MCP framework.
Playwright MCP Server
An MCP server using Playwright for browser automation and webscrapping
Hacker News
Fetches and parses stories from Hacker News, providing structured data for top, new, ask, show, and job posts.