#Mental Models MCP Servers

AI gives surface analysis. Restates the question, misses hidden assumptions, uses single-lens thinking. This tool forces multi-model depth: First Principles decomposition, Second-Order cascades (3 levels), Steelmanning (Ideological Turing Test), Inversion, and Premortem risk mapping.

LLMs reason by analogy, copying industry norms. This engine is a 6-pivot cognitive trap that forces the agent to discard jargon and derive original solutions exclusively from physical, mathematical, or logical axioms.

Charlie Munger spent 60 years proving that a man with one model is a man with a hammer. Every problem looks like a nail. An AI proposed a strategy without inverting it, without tracing second-order effects, without mapping incentive conflicts, without admitting what it does not know, and without a margin of safety for being wrong. That is not analysis. That is a first draft dressed as a final answer. This tool forces five Munger-level mental models: inversion, second-order effects, incentive architecture, circle of competence, and margin of safety.