Compress.new
MCP ServerFreeConvert any webpage to clean markdown and feed it directly into AI agent workflows. Why This Matters? Adding webpages to LLM conversations usually means dumping raw HTML, bloated with ads, scripts, and formatting noise. This MCP integrates compress.new into MCP-compatible AI agents to extract only
Capabilities3 decomposed
webpage-to-markdown conversion
Medium confidenceThis capability extracts content from a given webpage URL and converts it into clean markdown format. It utilizes a combination of HTML parsing and content filtering techniques to remove unnecessary elements like ads and scripts, ensuring that only the essential text is retained. The integration with MCP-compatible AI agents allows for seamless feeding of this markdown content into workflows, optimizing for lower token costs and better context comprehension.
Utilizes a specialized content extraction algorithm that prioritizes semantic relevance while stripping away non-essential HTML elements, ensuring high-quality markdown output.
More efficient than traditional scraping tools as it focuses solely on content extraction without the overhead of full HTML processing.
automatic ad and script removal
Medium confidenceThis capability automatically identifies and removes ads, sidebars, and other non-essential elements from the HTML content before conversion to markdown. It employs a set of heuristics and predefined rules to parse the DOM structure effectively, ensuring that the extracted content is clean and focused on the main text. This results in a more streamlined and relevant output for AI processing.
Incorporates a dynamic filtering engine that adapts to various webpage structures, improving the accuracy of content extraction compared to static filters.
More effective than generic HTML parsers as it specifically targets and removes advertising content, yielding cleaner results.
seamless integration with ai workflows
Medium confidenceThis capability allows for the direct integration of the markdown output into AI agent workflows via the Model Context Protocol (MCP). By adhering to MCP standards, it ensures that the markdown content can be easily consumed by various AI models without additional formatting or processing steps. This reduces the friction typically encountered when incorporating external content into AI systems.
Designed specifically for MCP compatibility, ensuring that markdown content is readily usable by AI agents without additional transformation steps.
More streamlined than traditional content integration methods, which often require multiple conversion steps before use.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with Compress.new, ranked by overlap. Discovered automatically through the match graph.
markdownify-mcp
A Model Context Protocol server for converting almost anything to Markdown
markdownify-mcp
A Model Context Protocol server for converting almost anything to Markdown
Firecrawl
** - Extract web data with [Firecrawl](https://firecrawl.dev)
Skrape MCP Server
Get any website content - Convert webpages into clean, LLM-ready Markdown.
@tavily/ai-sdk
Tavily AI SDK tools - Search, Extract, Crawl, and Map
Crawl4AI
AI-optimized web crawler — clean markdown extraction, JS rendering, structured output for RAG.
Best For
- ✓developers integrating web content into AI workflows
- ✓content creators needing clean article extraction
- ✓developers needing clean content for AI models
- ✓researchers gathering data from multiple sources
- ✓AI developers looking to enhance model context
- ✓teams building AI-driven applications
Known Limitations
- ⚠May not handle complex JavaScript-heavy sites well, leading to incomplete content extraction
- ⚠Limited to publicly accessible URLs; does not support authentication
- ⚠Heuristics may not cover all ad types, leading to potential remnants in the output
- ⚠Performance may degrade with very large or complex pages
- ⚠Requires adherence to MCP standards; incompatible with non-MCP systems
- ⚠Limited to markdown output; other formats may need additional conversion
Requirements
Input / Output
UnfragileRank
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About
Convert any webpage to clean markdown and feed it directly into AI agent workflows. Why This Matters? Adding webpages to LLM conversations usually means dumping raw HTML, bloated with ads, scripts, and formatting noise. This MCP integrates compress.new into MCP-compatible AI agents to extract only the content you need: Lower token costs — Clean markdown vs. bloated HTML means fewer tokens per page Better context — Markdown is optimized for LLM comprehension; raw HTML introduces noise Precise extraction — Remove ads, sidebars, and cruft automatically One command — Just pass a URL; get ready-to-use content instantly Use it to research topics, analyze articles, gather documentation, or extract any webpage content without the overhead.
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