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Accelerated Build Plan (MCP + Xano)

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Tools & Protocols

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Shopify Model Context Protocol (MCP)

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Storefront MCP

Purpose: Customer-facing AI agent access to catalog, cart, policies, and order interactions Capabilities:

• Product discovery
• Cart operations (add/remove/update)
• Policy retrieval (shipping, returns)
• Order-related interactions
• Conversational shopping with streaming responses

Endpoint: https://your-store.myshopify.com/api/mcp Limitations: Does NOT provide store setup/configuration mutations

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Dev MCP Server

Purpose: Development assistance - search docs, explore schemas, API guidance Requirements:

• Node.js 18+
• MCP-enabled client (e.g., Cursor)

Exposed Domains:

• Admin GraphQL API
• Customer Account API
• Functions
• Liquid
• Partner API
• Polaris components
• Storefront API

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MCP UI Extension

Purpose: Allow MCP servers to return interactive UI components Delivery Modes:

• Inline HTML
• Remote resources
• Remote DOM

Example Components: Product selectors, variant pickers, cart flows, product cards

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Xano MCP Server

Status: Experimental Purpose: Agentic backend manipulation via Xano Metadata API Tool Categories:

• Authentication
• Agents
• APIs
• Data sources
• Functions
• Middleware
• Realtime
• Table management

Example Tools: createAPI, updateAPI, createFunction, createTableSchema, addTableContent

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Architecture Pattern

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Example Workflows

• Product creation via productCreate
• Variant creation via productVariantsBulkCreate
• Collection creation via collectionCreate
• Metaobject creation and linking
• AEO artifacts generation (llms.txt, JSON-LD)
• Dosing calculator API

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Benefits

1. Centralized automation control
2. Repeatable provisioning scripts
3. Natural-language orchestration inside Cursor
4. Keeps Shopify admin logic off the client

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Build Strategy

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Step 1: Store Setup & Domain

Objectives:

• Create/configure Shopify store
• Configure subdomain and SSL
• Install baseline theme and apps

Actions:

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Step 2: Model Product Catalog

Objectives:

• Create product and variants programmatically
• Create species collections
• Store structured data via metafields/metaobjects

API Mutations:

• productCreate - Creates base product with initial variant
• productVariantsBulkCreate - Adds remaining variants

Product Model: Collections:

• horse-supplements
• cattle-supplements
• sheep-alpaca-supplements
• pet-supplements
• poultry-supplements

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Step 3: Subscription Strategy

Primary Path: ReCharge Alternative: Shopify Purchase Options API (native)

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Step 4: Dosing Calculator

Approach A: Calculator app (e.g., Calconic)

• Pros: Fastest implementation, minimal custom code
• Cons: Third-party dependency

Approach B: Custom Xano Data Model: Endpoint Contract:

• Input: species, weight, context (maintenance/show/stress)
• Output: dose_amount, unit, recommended_variant, cost_per_dose

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Step 5: AEO Implementation

llms.txt:

• Path: shop.anitone.com.au/llms.txt
• Sections: Brand overview, product specs, benefits, dosing

Schema Markup:

• Product, Offer, AggregateRating, Review
• Organization, founder, certifications

Direct Answer Blocks:

• “What is Anitone and how does it work?”
• “How much Anitone should I give my horse?”
• “Is Anitone suitable for organic farming?”

robots.txt: Allow GPTBot, ClaudeBot, PerplexityBot

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Step 6: Conversion & Adoption Barriers

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Step 7: Agentic Commerce & AI Chat

Storefront MCP Chat:

• Natural-language product discovery
• Cart management
• Policy Q&A
• Checkout support

Cursor Agentic Dev Setup:

• Connect Xano MCP with streaming URL and bearer token
• Generate endpoints that call Shopify Admin GraphQL
• Automate product/collection provisioning

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Implementation Timeline

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Key Principles

1. Storefront MCP for customer-facing conversational commerce, not store setup
2. Shopify Admin GraphQL API for provisioning catalog/collections/subscriptions
3. Xano as programmable orchestration layer for agentic build speed
4. Prioritize AEO foundations early (llms.txt, schema, direct answers)
5. Reduce conversion friction by addressing smell/price/dosing/trust with clear UX

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Implementation Logic (Venture OS)

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Core Principles

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Strategic Objectives

1. Eliminate manual PO-to-Invoice administration
2. Automate AR collection and ‘gentle nudges’
3. Sync multi-entity product/inventory with Shopify
4. Push invoices to Xero automatically

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Fastest Path Summary