MCP Server Readability Parser (Python / FastMCP)

what is MCP Server Readability Parser?

MCP Server Readability Parser is a Python implementation of the Model Context Protocol (MCP) server that extracts and transforms webpage content into clean, LLM-optimized Markdown.

how to use MCP Server Readability Parser?

To use the parser, clone the repository, set up a virtual environment, install dependencies, and start the server. You can then send a POST request with the URL of the webpage you want to parse.

key features of MCP Server Readability Parser?

• 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.

use cases of MCP Server Readability Parser?

1. Extracting content from news articles for summarization.
2. Converting blog posts into Markdown for easier editing.
3. Preparing web content for LLM training.

FAQ from MCP Server Readability Parser?

• Can this parser handle all types of web pages?

Yes! It is designed to handle complex web pages with dynamic content.

• Is there a limit to the number of requests?

No, but performance may vary based on server resources.

• What is the license for this project?

The project is licensed under the MIT License.