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.
Best people search engine that reduces the time spent on talent discovery
Quality signal
53/100 (Fair)
39/100 (Emerging)
Install path
npx · high
pip · high
Engagement
1 0 0 157
0 0 0 8
Tools
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
Natural-language search for people with profile scoringSearch for companies and leads within them (B2B)Supports masked sample results with test API keyConfigurable API key for full unmasked dataCompatible with multiple MCP clients (Cursor, Claude Desktop, VS Code)Exposes Streamable HTTP endpoint for remote access