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Extract clean URL text for LLMs and show token savings.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.AIMento/lean-reader" MCP server from askskill: Run: claude mcp add 'io-github-aimento-lean-reader' -- npx -y lean-reader
Read this URL and return clean body text suitable for LLM summarization, preserving the title, paragraph structure, and token savings stats: https://example.com/article
Returns the article body with navigation and ads removed, plus token savings information for original versus cleaned content.
Fetch this documentation page, extract the main instructional content, remove the header, footer, and sidebar, and provide text ready for a QA model: https://example.com/docs
Outputs clearly structured documentation text suitable as context for question answering or retrieval-augmented generation.
Read this webpage and generate the cleaned result, then list token counts for the raw page and cleaned text, the savings percentage, and a brief explanation: https://example.com/news
Returns the plain text content and a token savings receipt to help evaluate LLM cost optimization for webpage inputs.
Convert any public web page into clean Markdown and structured AI-ready content.
Convert web pages into LLM-ready Markdown for reading, summarizing, and analysis.
Lets AI read web pages through bot walls and return clean Markdown.
Analyze and compress Markdown to reduce tokens and improve AI efficiency.
Convert web URLs into token-efficient Markdown for LLM workflows.
Fetch, render, and extract readable web content into clean Markdown outputs.