Clean raw HTML into LAG-ready text and reduce wasted model tokens.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Refinery MCP" MCP server from askskill: Run: claude mcp add 'io-github-cameronlares-refinery-mcp' -- npx -y @larelabs/refinery-mcp
Clean the following raw HTML into LLM-ready plain text. Remove scripts, styles, navigation, and ads, while preserving headings, body content, and list structure: {{html}}Structured plain text that can be directly passed to an LLM for summarization or Q&A.
Extract the main article content from this HTML, remove template noise, and output it in paragraphs for downstream vector indexing: {{html}}Cleaned main-body text suitable for chunking, embedding, and retrieval-augmented generation.
Preprocess scraped webpage HTML into concise text, keeping link text and heading hierarchy while removing irrelevant tags and duplicate content: {{html}}A cleaner, shorter text output ready for downstream analysis, classification, or information extraction.
Search official library docs and return clean text ready for LLM use.
Clean AI-generated Markdown and export shareable HTML, PDF, DOCX, or PNG documents.
Convert URLs into lean LLM-ready text with token and cost savings receipts.
Convert webpages into clean Markdown for archiving, extraction, and AI workflows.
Lets agents extract clean web text and send full HTTP requests efficiently.
Scrape static HTML pages and extract structured content for AI analysis.