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.
Gives AI agents self-awareness about their cognitive state. Monitors token utilization, context quality degradation, and session fatigue. Returns health scores (0-100) and recovery recommendations based on model-specific degradation curves.
Local-first codebase intelligence engine. Gives coding agents structured context packets, indexed code/schema facts, and diagnostics over MCP, backed by a local SQLite store — so agents stop rediscovering your repo with raw grep. Optional Postgres/Supabase awareness and a bundled Claude Code plugin.