概要
Ralph Wiggum is a production-ready Model Context Protocol (MCP) server that empowers AI agents to continuously refine and enhance their output through systematic, iterative development loops. Named after Ralph Wiggum from *The Simpsons*, it embodies persistent iteration despite setbacks. This v2.0 release introduces robust features like iteration history tracking with progress metrics, seamless Git integration for automatic change tracking, external tool integration for test runners and linters, pre-built loop templates, stagnation detection, and comprehensive performance analytics, providing a powerful framework for self-referential AI development.