autonomy
Agent Autonomy Score — scores a market across 7 dimensions for AI-buildable product viability.
LABSCO SUMMARY
The prerequisite chain is the product — you cannot generate assets before the economics check passes.
Most of these tools are read-only: they return instructions enriched with what earlier stages produced, and your model does the work. That makes the sequencing enforced rather than suggested — asking for buyer research before market intelligence returns a blocked message naming what to run first. Whether that helps depends entirely on whether you want to follow this particular playbook.
What it is
An MCP server that turns a go-to-market playbook into a sequence of tools. Each one checks that its prerequisites are done, loads what the earlier stages produced, and returns the instructions for the current step; three separate tools handle all state and file writes.
What you get
- Entry points for different appetites: scout for the full pipeline, rapid_test for a cheap signal test, tournament to evaluate several ideas at once, portfolio_triage to rank what you already have, passive_deploy for marketplace assets
- Research and offer: autonomy, market_intel, research, build_blocks, stress_test, unit_economics — with the economics gate before any asset is built
- Build and launch: name_lock, platform, product, deploy, qa, validate_prep
- Validation: validate_check for the daily read, validate_decide for the end-of-window verdict, feedback to route fixes
- Traffic: traffic_strategy, channels, creative_test, funnel_optimize, scale, traffic_analytics, dream_100
- Organic growth: content_engine, content_repurpose, seo_check
- Ongoing: status, daily_check, lessons, voice_extract, bold_action, revenue_review, rapid_check, rapid_graduate, rapid_status, passive_check, passive_compound, passive_portfolio
- State and output: update_pipeline_state, save_asset and capture_learning are the only tools that write anything
Requirements
Node. A project directory holds the pipeline state, the learnings file and the generated assets; it is set through your client config or falls back to the working directory. Some of the packaged quality checks are Python scripts.
Setup effort
One command — npx -y asset-factory-mcp
USE CASES
01
Deciding whether an idea is worth any effort
Run the market scan first; it comes back with a verdict on whether to investigate further at all.
02
Testing an idea cheaply before committing
Run the compressed research-and-landing-page pass, check the daily metrics against thresholds, and promote it only if it earns the full pipeline.
03
Checking the maths before building anything
Model acquisition cost, lifetime value and break-even against your budget, and stop if the verdict is that it cannot work.
04
Producing campaign copy that matches the buyer
Generate the sales pages, emails and ads, then run the persona-alignment check over all of it before publishing.
05
Knowing where you left off
Read the pipeline status for the current stage, what is already done, and what to run next.
06
Choosing between several live pipelines
Rank them by profit velocity, then review actual revenue against projections each week.
45 tools
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
bold_action
Bold Action Playbook — identifies the single highest-leverage irreversible move for credibility compression and ICP surface area expansion.
build_blocks
3-Part Promotion Invention — builds the 7 Building Blocks from buyer research.
capture_learning
Capture a reusable learning/pattern to learnings.json. Called after key decisions, verdicts, and pipeline milestones.
channels
Channel Deployment Engine — sets up and configures selected traffic channels.
content_engine
Organic Content & SEO/GEO Engine — topic cluster research, pillar/spoke content generation, schema markup, AI visibility baselines.
content_repurpose
Single-Pass Content Repurposing — takes one pillar page and generates 7+ platform-native assets (YouTube, short-form, Reddit, LinkedIn, newsletters, social).
creative_test
Creative Testing Protocol — generates and manages ad creative variations.
daily_check
Daily Operations Pulse — 5-minute daily check for any stage with live campaigns.
deploy
Campaign Deployment Engine — generates sales pages, email sequences, and ad copy.
dream_100
Dream 100 Relationship Strategy — entity discovery and outreach sequences.
feedback
Optimizer Feedback Loop — diagnoses performance issues and routes fixes.
funnel_optimize
Funnel Optimization Engine — CRO testing across the conversion funnel.
lessons
Pattern Library & Learnings Engine — capture and retrieve patterns across pipelines.
market_intel
Market Intelligence OS — deep market research with competitive analysis and scoring.
name_lock
Name Lock Gate — locks the business/product name before any assets are built.
passive_check
Passive Asset Validation Check — scheduled performance checks at Day 14/30/45/60/90.
passive_compound
Anchor Compounding Engine — deploys related assets around proven anchors.
passive_deploy
Passive Asset Deployment Agent (PADA) — marketplace asset scoring and build specs.
passive_portfolio
Portfolio Feedback Report — quarterly review of all passive assets.
platform
Platform Engine — scores and selects the tech stack for product delivery.
portfolio_triage
Portfolio Triage — ranks all pipelines past unit-economics by Profit Velocity Score and enforces active pipeline cap.
product
Product Architecture Engine — designs the product/service delivery structure.
qa
Persona Alignment Gate — 7-check QA ensuring all copy aligns with buyer persona.
rapid_check
Rapid Test Daily Check — reviews metrics against decision thresholds.
rapid_graduate
Graduate Rapid Test to Full Pipeline — creates pipeline entry from rapid test data.
rapid_status
Rapid Test Portfolio Status — dashboard of all active/graduated/killed rapid tests.
rapid_test
Rapid Idea Test — compressed research + landing page + ads in a single pass.
research
Therapeutic Buyer Engine — deep buyer persona research with 25-35 web searches.
revenue_review
Weekly Revenue Review — compares actual revenue vs projections for selected pipelines and manages revenue phase transitions.
save_asset
Save a file to the assets/[market-name]/ directory. Use for all pipeline outputs: research, building blocks, copy, campaigns, etc.
scale
Scale Protocol — systematic scaling of validated traffic channels.
scout
Preliminary market scanning. Takes a raw idea and determines if it's worth deeper investigation.
seo_check
Monthly SEO/GEO Audit — content health, AI citation tracking, competitive gaps, technical SEO, content freshness scoring.
status
Pipeline Status Report — shows current pipeline stage, completed steps, and next actions.
stress_test
Offer Stress Test — scores the offer across 10 dimensions, returns GO/REVISE/REBUILD.
tournament
Parallel Portfolio Tournament — batch-evaluates 3-5 business ideas through Layer 1 simultaneously with comparison gates. ~50-60% faster than sequential scout runs.
traffic_analytics
Traffic Analytics & Attribution — performance reporting and attribution.
traffic_strategy
Traffic Strategy Engine — researches and scores traffic channels.
unit_economics
Unit Economics Gate — models CPA, LTV, break-even, and budget requirements.
update_pipeline_state
Update pipeline-state.json. Use dot-notation paths to set values. Can create new pipelines and rapid tests.
validate_check
Daily 60-Second Health Check — quick metrics review during validation window.
validate_decide
Validation Verdict Engine — end-of-window decision: ADVANCE, ITERATE, or KILL.
validate_prep
Validation Deployment Package — generates the deployment checklist for real-world testing.
voice_extract
Brand Voice Extraction — generates brand voice calibration docs from QA-passed content.
BEFORE YOU INSTALL
What to know first
Tools you get
45 tools when we connected. The README's 42 counts only the read-only SOP tools; update_pipeline_state, save_asset and capture_learning are the three write tools.
Requires
npx on PATH
Where it runs
Both documented clients run the server on your machine.
CONTEXT COST
Moderate Standing cost
Rated by the size of the 45 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
Connect your client
Server setup
TERMINAL
npx -y asset-factory-mcpMCP Clients
Claude Desktop, Cursor
JSON
{
"mcpServers": {
"asset-factory": {
"command": "npx",
"args": [
"-y",
"asset-factory-mcp"
],
"env": {
"ASSET_FACTORY_PROJECT_DIR": "<YOUR_ASSET_FACTORY_PROJECT_DIR>"
}
}
}
}
