Asset Factory

Agentic pipeline that transforms ideas to revenue — for solo founders and bootstrappers.

npx -y asset-factory-mcp

Why Asset Factory?

Most MCP servers give you one tool. A GitHub integration. A database query. A Slack bot.

Asset Factory gives you 42 tools that work as a pipeline — the entire playbook from raw idea to validated revenue, running inside the AI client you already use.

• No more blank-page paralysis. Start with scout and the system tells you exactly what to do next, every step of the way.

• Every stage feeds the next. Buyer research flows into offer design. Offer design flows into campaign copy. Campaign copy flows into validation. Nothing is wasted.

• Math before assets. Unit economics are validated before you build anything. You'll never spend weeks building an offer that can't work at your budget.

• Test ideas for $50, not $5,000. rapid_test gives you signal in 3-5 days with a landing page and paid traffic — before you commit to the full pipeline.

• Your AI becomes a co-founder, not a chatbot. It doesn't just answer questions. It executes a structured business system with you.

Related MCP server: MIDAS

Install

npm install -g asset-factory-mcp

Or run directly without installing:

npx -y asset-factory-mcp

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "asset-factory": {
      "command": "npx",
      "args": ["-y", "asset-factory-mcp"],
      "env": {
        "ASSET_FACTORY_PROJECT_DIR": "/path/to/your/project"
      }
    }
  }
}

Cursor

Add to your MCP settings (.cursor/mcp.json):

{
  "mcpServers": {
    "asset-factory": {
      "command": "npx",
      "args": ["-y", "asset-factory-mcp"],
      "env": {
        "ASSET_FACTORY_PROJECT_DIR": "/path/to/your/project"
      }
    }
  }
}

From Source

git clone https://github.com/ZionHopkins/asset-factory-mcp.git
cd asset-factory-mcp
npm install
npm run build
node dist/index.js

How It Works

Asset Factory is a two-layer tool system:

Layer A — 42 SOP Tools (read-only): Each tool validates prerequisites against pipeline-state.json, loads upstream context from previous stages, checks learnings.json for patterns, and returns full SOP instructions enriched with that context. Your AI executes the instructions.

Layer B — 3 Utility Tools (mutations): update_pipeline_state, save_asset, capture_learning. These handle all state writes and file creation. Your AI calls them after executing each SOP.

The Pipeline

Five entry points:

1. scout            → Full pipeline (research → offer → build → deploy → validate)
2. rapid_test       → Quick $50-100 test (signal in 3-5 days)
3. passive_deploy   → Marketplace assets (after research)
4. tournament       → Batch-evaluate 3-5 ideas through Layer 1 simultaneously
5. portfolio_triage → Rank existing pipelines by profit velocity, select top N

Full Pipeline Flow

LAYER 1 (Strategist):
  scout → autonomy → market_intel → research → build_blocks → stress_test → unit_economics

LAYER 2 (Builder):
  name_lock → platform + product → deploy → qa → validate_prep

LAYER 3 (Validator):
  validate_check (daily) → validate_decide → feedback → iterate

TRAFFIC (Paid):
  traffic_strategy → channels → creative_test → funnel_optimize → scale

ORGANIC GROWTH (runs parallel with paid):
  content_engine → content_repurpose → seo_check (monthly)

BOLD ACTION (post-QA):
  bold_action → credibility compression playbook

REVENUE PHASE MANAGEMENT (optional overlay):
  portfolio_triage → revenue_review (weekly)
  Phases: Signal → Cash → Repeat → Scale

CROSS-CUTTING:
  status | daily_check | lessons | voice_extract | dream_100 | tournament

Each tool checks prerequisites automatically. If you try to run research before completing market_intel, you'll get a clear STAGE_BLOCKED message telling you exactly what to run first.

Tools Reference

SOP Tools (42)

Utility Tools (3)

Project Directory Structure

Asset Factory creates and manages files in your project directory:

your-project/
├── pipeline-state.json      # Pipeline progress tracking
├── learnings.json            # Pattern library across pipelines
└── assets/
    └── [market-name]/
        ├── research/         # Scout reports, buyer research, market intel
        ├── building-blocks/  # The 7 Building Blocks
        ├── product/          # Product Architecture Blueprint
        ├── copy/             # Sales letters, email sequences
        ├── campaigns/        # Landing pages, ad copy
        ├── traffic/          # Traffic strategy, creative tests, analytics
        ├── validation/       # Deployment packages, daily checks, verdicts
        ├── voice/            # Brand voice calibration
        ├── passive-portfolio/ # PADA outputs
        ├── rapid-test/       # Rapid test assets
        ├── bold-action/      # Bold Action playbook
        └── content/          # Organic growth engine outputs
            ├── pillar/       # 2,000-4,000 word guides
            ├── spokes/       # 1,000-2,000 word pages
            ├── repurposed/   # Multi-platform assets per source
            ├── schema/       # JSON-LD files
            ├── seo-config/   # robots.txt, sitemap, brand signals
            └── audits/       # Monthly SEO/GEO audit reports

Configuration

The project directory is resolved in order:

1. ASSET_FACTORY_PROJECT_DIR environment variable

2. --project-dir= CLI argument

3. Current working directory

First Use

When you run status with no existing pipeline, you'll see:

Three paths available:

1. rapid_test — $50-100 paid traffic test in 3-5 days

2. scout — Full active pipeline with deep research and validation

3. passive_deploy — Marketplace assets (requires research first)

Best Practices

Getting Started

• Start with status — always run this first. It reads your pipeline state and tells you exactly where you are and what to do next.

• New idea? Use rapid_test first — don't run the full pipeline on an unvalidated idea. Spend $50-100 to get signal in 3-5 days. If it graduates, then run scout.

• One pipeline at a time — you can run multiple rapid tests in parallel, but focus on one full pipeline at a time. Context switching kills momentum.

During the Pipeline

• Follow the order — the prerequisite system exists for a reason. Each stage feeds the next. Skipping market_intel means research has no competitive context. Skipping stress_test means you might build assets for a broken offer.

• Don't skip qa — it catches promise-product misalignment, unattributed statistics, and persona drift. Every asset that touches a buyer must clear the QA gate.

• Run daily_check every day during validation — it takes 60 seconds and catches problems before they burn budget.

• Use lessons after every major decision — verdicts (ADVANCE/KILL), graduated rapid tests, creative test winners. The pattern library makes every future pipeline smarter.

Working with the AI

• Let the AI execute the full SOP — each tool returns complete instructions. Don't interrupt midway. Let it finish the research, generate the deliverables, and save the files.

• Review Tier 3/4 decisions carefully — the system will pause and ask for your input on market selection, pricing, kill decisions, and anything involving real money. These pauses are intentional.

• Trust the math — unit_economics will tell you if the numbers work at your budget. If the verdict is NON-VIABLE, don't try to force it. Move on or adjust the offer.

Scaling

• Validate before you scale — scale requires proven creative winners with 30+ conversions. Scaling unvalidated campaigns is the fastest way to burn money.

• Compound your learnings — passive assets that reach ANCHOR status should trigger passive_compound. One proven asset can spawn 5-10 related assets.

• Run traffic_analytics weekly — attribution drift happens. What worked last week may not work next week. Stay on top of the data.

Common Mistakes to Avoid

• Don't build assets before stress_test passes — a GO verdict means the offer is structurally sound. REVISE or REBUILD means fix the foundation first.

• Don't skip name_lock — changing the business name after assets are built means rebuilding everything. Lock it early.

• Don't ignore KILL signals — if rapid test metrics hit kill thresholds, kill it. If validation says KILL, capture the lessons and move on. Sunk cost is not a strategy.

• Don't publish without qa clearance — unvetted copy with unattributed claims or persona misalignment damages trust and conversion rates.

• Don't run the full pipeline for every idea — that's what rapid_test is for. Test 5-10 ideas cheaply, then invest the full pipeline in the winner.

Revenue Phase System (New in v1.2.0)

Optional overlay that tracks revenue progression through four phases:

How to enable: Run portfolio_triage to select active pipelines. Selected pipelines get revenue_phase: "signal". Run revenue_review weekly to track progress.

scout now includes a Sales Cycle Reality Check that estimates days-to-first-sale per market (GREEN <=14d, YELLOW 15-30d, RED >30d). This feeds into the Profit Velocity Score used by portfolio_triage.

Automated QA Test Suite (New in v1.1.0)

The pipeline includes an automated QA test suite that runs at 3 points:

Test modules in qa-tests/:

• test_landing_page.py — HTML structure, CTA presence, secret detection

• test_campaign_assets.py — Email/ad validation, brand consistency

• test_research_report.py — Section completeness, citation density, contradiction detection

• test_unit_economics.py — Margin positivity, CAC/LTV ratio, math verification

Requires: Python 3.10+

Listings

Listed on MCP Server Hub | MCP Registry

License

MIT