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.
Points an AI agent at a live URL and confirms publicly-served secret files by fetching the bytes — exposed .git, .env, JS source maps, backup/SQL dumps, directory listing, and dotfiles. Zero dependencies, read-only.
Real-time security framework for MCP servers that detects and blocks malicious AI agent behavior by analyzing tool call patterns and intent across multiple threat detection engines.