Buildability™ — AI Property Intelligence

Six Weeks, Two People, One MCP Server

Data version: Q2 2026 · Last updated 2026-05-15

TL;DR. How we built the Buildability™ MCP server in six weeks with a two-person team. Tech stack, tradeoffs, and lessons learned.

Summary

The Buildability™ MCP server went from idea to production in six weeks with a two-person team. Stack: Node.js, TypeScript, Supabase edge functions, Claude Opus for analysis, GPT-4o for cross-validation, Gemini for structured extraction. Tradeoffs: we chose correctness over speed on ambiguous cases (flag and explain instead of guess). Biggest lesson: real government APIs are messy and inconsistent — the hardest work was data normalization, not AI.

About Buildability™

Buildability™ is an AI-powered property intelligence platform that tells homeowners, investors, developers, lenders, and brokers what they can build on any U.S. property in about 20 seconds. It replaces $3,500+ in consultant fees and 2-8 weeks of waiting with an instant Buildability™ Report powered by 20+ government data sources and multi-tier Claude reasoning (Opus 4.7, Sonnet 4.6, Haiku 4.5) routed by complexity.

Related pages

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  • Buildability Score

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