General
odoo-shopify-integration - Claude MCP Skill
Connect Odoo with Shopify: sync products, inventory, orders, and customers using the Shopify API and Odoo's external API or connector modules.
SEO Guide: Enhance your AI agent with the odoo-shopify-integration tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to connect odoo with shopify: sync products, inventory, orders, and customers using the shopify api and... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# Odoo ↔ Shopify Integration
## Overview
This skill guides you through integrating Odoo with Shopify — syncing your product catalog, real-time inventory levels, incoming orders, and customer data. It covers both using the official Odoo Shopify connector (Enterprise) and building a custom integration via Shopify REST + Odoo XMLRPC APIs.
## When to Use This Skill
- Selling on Shopify while managing inventory in Odoo.
- Automatically creating Odoo sales orders from Shopify purchases.
- Keeping Odoo stock levels in sync with Shopify product availability.
- Mapping Shopify product variants to Odoo product templates.
## How It Works
1. **Activate**: Mention `@odoo-shopify-integration` and describe your sync scenario.
2. **Design**: Receive the data flow architecture and field mapping.
3. **Build**: Get code snippets for the Shopify webhook receiver and Odoo API caller.
## Data Flow Architecture
```
SHOPIFY ODOO
-------- ----
Product Catalog <──────sync────── Product Templates + Variants
Inventory Level <──────sync────── Stock Quants (real-time)
New Order ───────push──────> Sale Order (auto-confirmed)
Customer ───────push──────> res.partner (created if new)
Fulfillment <──────push────── Delivery Order validated
```
## Examples
### Example 1: Push an Odoo Sale Order for a Shopify Order (Python)
```python
import xmlrpc.client, requests
# Odoo connection
odoo_url = "https://myodoo.example.com"
db, uid, pwd = "my_db", 2, "api_key"
models = xmlrpc.client.ServerProxy(f"{odoo_url}/xmlrpc/2/object")
def create_odoo_order_from_shopify(shopify_order):
# Find or create customer
partner = models.execute_kw(db, uid, pwd, 'res.partner', 'search_read',
[[['email', '=', shopify_order['customer']['email']]]],
{'fields': ['id'], 'limit': 1}
)
partner_id = partner[0]['id'] if partner else models.execute_kw(
db, uid, pwd, 'res.partner', 'create', [{
'name': shopify_order['customer']['first_name'] + ' ' + shopify_order['customer']['last_name'],
'email': shopify_order['customer']['email'],
}]
)
# Create Sale Order
order_id = models.execute_kw(db, uid, pwd, 'sale.order', 'create', [{
'partner_id': partner_id,
'client_order_ref': f"Shopify #{shopify_order['order_number']}",
'order_line': [(0, 0, {
'product_id': get_odoo_product_id(line['sku']),
'product_uom_qty': line['quantity'],
'price_unit': float(line['price']),
}) for line in shopify_order['line_items']],
}])
return order_id
def get_odoo_product_id(sku):
result = models.execute_kw(db, uid, pwd, 'product.product', 'search_read',
[[['default_code', '=', sku]]], {'fields': ['id'], 'limit': 1})
return result[0]['id'] if result else False
```
### Example 2: Shopify Webhook for Real-Time Orders
```python
from flask import Flask, request
app = Flask(__name__)
@app.route('/webhook/shopify/orders', methods=['POST'])
def shopify_order_webhook():
shopify_order = request.json
order_id = create_odoo_order_from_shopify(shopify_order)
return {"odoo_order_id": order_id}, 200
```
## Best Practices
- ✅ **Do:** Use Shopify's **webhook system** for real-time order sync instead of polling.
- ✅ **Do:** Match products using **SKU / Internal Reference** as the unique key between both systems.
- ✅ **Do:** Validate Shopify webhook HMAC signatures before processing any payload.
- ❌ **Don't:** Sync inventory from both systems simultaneously without a "master system" — pick one as the source of truth.
- ❌ **Don't:** Use Shopify product IDs as the key — use SKUs which are stable across platforms.Signals
Information
- Repository
- arlenagreer/claude_configuration_docs
- Author
- arlenagreer
- Last Sync
- 6/7/2026
- Repo Updated
- 6/4/2026
- Created
- 4/10/2026
Reviews (0)
No reviews yet. Be the first to review this skill!
Related Skills
CLAUDE
Claude-Mem: AI Development Instructions
cursorrules
CrewAI Development Rules
firecrawl-build-interact
Integrate Firecrawl `/interact` into product code for dynamic pages and browser actions after scraping. Use when a feature needs clicks, form fills, pagination, authentication-aware flows, or other multi-step interactions that plain `/scrape` cannot complete.
firecrawl-build
Integrate Firecrawl into application code whenever a product, agent, or workflow needs web data inside the app — web search, live search results, page scraping, structured extraction, or browser interaction. Use when building any feature that needs data from the web in code, even if the user does not mention Firecrawl explicitly and only describes wanting web data, website content, search, scraping, or interaction in an application. Trigger for Firecrawl requests, "fire girl" shorthand, and generic app-level web-data needs that should map to `/scrape`, `/search`, or `/interact`. Do not use this skill for one-off terminal-only web tasks during the current session; use `firecrawl/cli` for those.
Related Guides
Bear Notes Claude Skill: Your AI-Powered Note-Taking Assistant
Learn how to use the bear-notes Claude skill. Complete guide with installation instructions and examples.
OpenAI Whisper API Claude Skill: Complete Guide to AI-Powered Audio Transcription
Learn how to use the openai-whisper-api Claude skill. Complete guide with installation instructions and examples.
Mastering the Oracle CLI: A Complete Guide to the Claude Skill for Database Professionals
Learn how to use the oracle Claude skill. Complete guide with installation instructions and examples.