Extract webpage content into clean, LLM-optimized Markdown by removing ads, navigation, and non-essential elements. Retrieve article title, main content, excerpt, byline, and site name using Mozilla's Readability algorithm.
Extract clean main article text from any URL using browser automation and fallback logic. Handles dynamic JavaScript rendering and includes structured content retrieval for GitHub repositories. Ideal for articles and blog posts.
Execute code, manage files, and automate Git workflows using natural language prompts. Generate, analyze, refactor code; perform file operations; handle Git tasks; and run CLI commands for streamlined development.
Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
A Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.