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.
Reviews a plan for what's missing — unstated assumptions, omitted technical risks, and execution blind spots (a structured pre-mortem). pip install road-poneglyph-mcp
Software estimation server for AI agents: PERT, COCOMO II, Monte Carlo, sprint forecasting, token-to-time and cost mapping, and schedule-risk tools.