MCP Discovery - Intelligent MCP Recommendation Engine

Overview

Purpose: Provide quantitative, domain-driven MCP server recommendations using tier-based prioritization. Transform domain percentages (from spec-analysis) into actionable MCP setup strategies with health checking, fallback chains, and setup instructions.

Key Innovation: Only framework with quantitative domain-to-MCP mapping (not guesswork).

Anti-Rationalization (From Baseline Testing)

CRITICAL: Agents systematically rationalize vague MCP recommendations without structured analysis. Below are the 5 most common rationalizations detected in baseline testing, with mandatory counters.

Rationalization 1: "You might want these MCPs..."

Example: User asks for MCPs → Agent responds "You might want Puppeteer, PostgreSQL, GitHub..."