Overview
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?
- Extracting content from news articles for summarization.
- Converting blog posts into Markdown for easier editing.
- 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.