Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown while preserving links. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching.
Content extraction with Mozilla ReadabilityHTML to Markdown conversion with GitHub Flavored Markdown supportSmart caching using SHA-256 hashed URLsPolite crawling with robots.txt support and rate limitingConcurrent fetching with configurable depth and concurrencyStream-first design for low memory usage
Search tool with required 'query' and optional 'search_depth' parametersReturns AI responses along with URIs and titlesSupports integration with Claude Desktop and CursorCan be run locally using Docker ComposeLogs stored locally for debugging and auditing