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.
An open-source observability layer for AI coding. Silently tracks dev tokens/time and auto-codifies AI deviations into persistent project rules.
Semantic code index that extracts domain concepts, naming conventions, and behavioral similarity from codebases. One tool call instead of 19, 20x fewer tokens for codebase understanding queries.