Jmh108 MCP Server Readability Python
An MCP server based on Python that uses the Mozilla Readability algorithm to extract web page content and convert it into an optimized Markdown format, suitable for LLM processing.
rating : 2 points
downloads : 12
What is the MCP Server - Readability Parser?
The MCP Server - Readability Parser is a tool designed specifically for extracting the core content of web pages. It converts web pages into an easy - to - read and optimized Markdown format by removing ads, navigation bars, and other irrelevant elements, which is particularly suitable for large language model (LLM) processing.How to use the MCP Server - Readability Parser?
Simply provide the URL of the target web page, and the server will automatically extract the important content and generate a clean Markdown - formatted output.Applicable Scenarios
This tool is very suitable for scenarios where web page content needs to be cleaned, such as generating summaries, extracting knowledge bases, or pre - processing data before inputting it into large models.Main Features
Web Page Content ExtractionAutomatically identify and extract the core content of web pages, filtering out interference information such as ads and navigation menus.
Markdown FormattingConvert the extracted content into a structured Markdown format for further processing or display.
Error HandlingSupport graceful degradation for invalid URLs or unparsable pages to ensure service stability.
Dynamic Content SupportCapable of parsing content generated by JavaScript to ensure complete extraction.
Advantages and Limitations
Advantages
Focus on extracting the core content of web pages, reducing interference from useless information.
Support various complex web page structures, including dynamically loaded content.
The generated Markdown format is highly compatible with the input requirements of large models.
Lightweight design with high operating efficiency.
Limitations
Some highly customized pages may not be fully adaptable.
It depends on the network connection and is not available in offline mode.
Processing very long articles may increase the processing time.
How to Use
Installation and Startup
Clone the project code, install the dependencies, and then run the server.
Send a Request
Send a POST request containing the target URL to the server to get the Markdown - formatted result.
Usage Examples
Extract News ArticlesExtract article content from news websites and generate Markdown.
Generate Knowledge Base EntriesExtract research content from academic paper websites to provide structured input for large models.
Frequently Asked Questions
Does the MCP Server - Readability Parser support Chinese web pages?
How to stop the running MCP server?
What will happen if the URL is invalid?
Related Resources
Official GitHub Repository
View the source code and more documentation.
MCP Protocol Official Website
Learn more about the Model Context Protocol.
YouTube Tutorial Video
Quick start guide.
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