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DRE MCP Server
by studioKjm

DRE — Domain Reverse Engineering

Analyze the business and domain side of a reference site, platform, or product: business model, positioning, marketing, ads, tech stack, financials, and pricing history — with evidence and explicit uncertainty on every claim. The business-side counterpart to REA, which covers the technical side.

Status: pre-release. 11 MCP tools built and tested; AC-008 (independent accuracy benchmark) is still pending real user labeling. See docs/adr.yaml for the design decisions behind each feature and .harness/ouroboros/ for the spec/eval history.

Install

npx dre-agents setup

Registers the DRE MCP server with Claude Code. Open a new session and the tools below appear automatically.

Related MCP server: Brand Intelligence MCP

Tools

Tool

What it does

Blocking resistance

analyze_company

pricing + terms + tech stack + ads in one call, from just a domain

—

collect_pricing

plan/price text; auto-discovers the pricing page from a home URL

archive.org fallback on bot blocks

collect_terms

billing/refund passages, following same- and cross-origin links

medium

collect_appstore

iOS/Play in-app purchase listings

high

collect_techstack

frameworks, CMS, payment/analytics scripts from headers+HTML

very high (can't be blocked without breaking the page)

collect_ad_library

Google Ads Transparency Center ad counts

high (Google only — Meta is excluded, see below)

collect_financials

SEC EDGAR revenue/net income (US public companies)

high (free, no key)

collect_financials_kr

DART (Korean FSS) revenue/net income

high (free, needs your own API key)

collect_price_history

pricing over time via archive.org snapshots

— (REA has no equivalent)

collect_jobs

open postings via Greenhouse/Lever

very high

submit_report

validates and saves a claim-based report

—

Principles

  1. Only directly observed facts are labeled observed; the rest is inferred or estimated.

  2. Estimates are ranges with stated assumptions, never single numbers.

  3. Works with public sources and your own LLM key (BYOK). No paid data required.

  4. DRE never bypasses robots.txt, bot/CAPTCHA detection, or login walls — see docs/adr.yaml ADR-004/005 for why (and why Meta's ad library is deliberately not covered: facebook.com's robots.txt specifically disallows ClaudeBot).

  5. DRE never calls an LLM or search engine itself. When a collector is blocked, the calling agent may supplement with its own research, but must mark it source: "agent" and inferred/estimated — never observed (ADR-003).

Claim schema

Each claim has type (observed | inferred | estimated), confidence, evidence[] (each with an optional source: "dre" | "agent"), assumptions[]. Revenue-model labels are a fixed taxonomy with precise definitions — see packages/core/src/labels.ts and packages/core/src/schema.ts.

Develop

npm install
npm test
node packages/cli/dist/index.js eval reports benchmarks/gold   # AC-008 accuracy check

To rebuild the publishable dre-agents bundle after changing any package:

cd packages/dre-agents && npm run build

Optional environment variables

  • DRE_DART_API_KEY — free key from opendart.fss.or.kr, enables collect_financials_kr

  • DRE_SEC_USER_AGENT — your own "org contact@email" string for SEC EDGAR (recommended over the default)

  • DRE_CHROME_PATH — Chrome/Chromium path, for JS-rendered pages (collect_pricing with js: true)

  • DRE_ALLOW_PRIVATE_NETWORK=1 — local dev/testing only; disables the SSRF guard

Roadmap

  • Done: pricing/terms/appstore/techstack/ad-library/financials(US+KR)/price-history/jobs collectors, analyze_company orchestrator, npm packaging prep

  • Next: traffic/CPC/CTR/CVR/ROAS scenario estimates (user-supplied external API keys, stated assumptions — see non_goals in .harness/ouroboros/seeds/seed-v1.yaml for what DRE deliberately does not do)

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