Show HN: Boardroom MCP - Multi-advisor governance engine for AI agents

**Show HN: Boardroom MCP - Multi-advisor governance engine for AI agents**

Hey HN,I noticed a recurring issue when building autonomous agents: they're great at execution but terrible at nuanced judgment. When faced with ambiguity, they just hallucinate the most statistically probable path without considering second-order effects.Instead of trying to fix this with massive system prompts, I built an MCP (Model Context Protocol) server that offloads decisions to a multi-advisor "boardroom."How it works: 1. Agent encounters a decision -> calls the `analyze()` MCP tool. Server routes the query to relevant advisors (from 38 domains, 450+ profiles). This is the core mechanic: if advisors agree too quickly, the system flags it...

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