This article outlines the architecture for building an AI-ready SaaS discovery engine using Next.js, PostgreSQL, and the Model Context Protocol (MCP). The author emphasizes the need for a unified data model to serve diverse consumers, including human users, search engines, and AI assistants. The proposed system stores product facts once and generates all representations from this canonical record, ensuring consistency across different interfaces like public pages, APIs, and MCP for AI clients. AI
IMPACT Provides a blueprint for creating structured data platforms that can serve both human users and AI systems.
RANK_REASON Article describes a technical approach to building a specific type of software application.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
