Launch Engine — Business Execution OS

Asset Factory

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

npx -y asset-factory-mcp

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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.

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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 w