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Compress.new vs AWS KB Retrieval
Side-by-side comparison of two Model Context Protocol servers. Pick the right one for Claude Desktop, Claude Code, or Cursor.
Compress.new
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
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Comparison
| Feature | Compress.new | AWS KB Retrieval |
|---|---|---|
| Pricing | Free | Free |
| Installs | — | — |
| Rating | — | — |
| Verified | — | |
| Hosted | Hosted | — |
| Tools | — | — |
| Category | ai | ai |
| Author | compress-new | modelcontextprotocol |
| Repo | smithery-ai/cli | modelcontextprotocol/servers-archived |
When to pick Compress.new
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.
When to pick AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Looking for something else? Browse all MCPs or check trending this week.