Wonderkraftz Premium Gifting Studio
LocalAbout Wonderkraftz Premium Gifting Studio
An MCP server connecting AI assistants to Wonderkraftz Premium Gifting Studio for product discovery and shopping. It supports catalog search, recommendations, cart operations, checkout links, and store policy lookups.
Key features
- 01Search products by keyword
- 02View product details and collections
- 03Get product recommendations
- 04Manage carts and checkout
- 05View store policies
Use cases
- 01Find gifts or hampers for an occasion
- 02Compare product details and recommendations
- 03Add products to a cart and get a checkout link
- 04Check shipping or return policies
MCP support
Exposes product, collection, and store-information resources along with tools for search, recommendations, cart management, checkout, and policy lookup. Supports stdio and Streamable HTTP transports.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y wonderkraftz-mcpSHOPIFY_STORE_DOMAINShopify store domain (e.g., your-store.myshopify.com)SHOPIFY_STOREFRONT_ACCESS_TOKENSecretPublic Storefront API access token from the Shopify Headless channelLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
12Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| query | string | Yes | Search query (e.g., 'corporate gifts', 'wedding hamper', 'chocolate box') |
| limit | number | No | Number of results to return (max 20) |
Details
From the project README
Wonderkraftz MCP Server
An MCP (Model Context Protocol) server that connects AI assistants to the Wonderkraftz Premium Gifting Studio. Browse products, get personalized gift recommendations, manage your cart, and checkout — all through natural language in your AI assistant.
Features
- Product Search — Search the catalog by keyword, occasion, or gift type
- Product Details — Get full product info including variants, pricing, and images
- Collections — Browse curated gift collections (Corporate Gifts, Wedding Hampers, etc.)
- Recommendations — Get product suggestions based on a product you like
- Cart Management — Create carts, add/update/remove items
- Checkout — Get a checkout URL to complete your purchase in a browser
- Store Policies — View shipping, returns, and privacy policies
Quick Start
Option 1: npx (no install needed)
SHOPIFY_STORE_DOMAIN=64cd5c-2.myshopify.com \
SHOPIFY_STOREFRONT_ACCESS_TOKEN=aeeec5ab77309d1c339d2971f56b6506 \
npx wonderkraftz-mcp
Option 2: Install globally
npm install -g wonderkraftz-mcp
Setup
Cursor IDE
Add to your project's .cursor/mcp.json:
{
"mcpServers": {
"wonderkraftz": {
"command": "npx",
"args": ["-y", "wonderkraftz-mcp"],
"env": {
"SHOPIFY_STORE_DOMAIN": "64cd5c-2.myshopify.com",
"SHOPIFY_STOREFRONT_ACCESS_TOKEN": "aeeec5ab77309d1c339d2971f56b6506"
}
}
}
}
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"wonderkraftz": {
"command": "npx",
"args": ["-y", "wonderkraftz-mcp"],
"env": {
"SHOPIFY_STORE_DOMAIN": "64cd5c-2.myshopify.com",
"SHOPIFY_STOREFRONT_ACCESS_TOKEN": "aeeec5ab77309d1c339d2971f56b6506"
}
}
}
}
ChatGPT / Grok / Remote AI Tools
Use the hosted HTTP endpoint -- no install needed:
https://wonderkraftz-mcp.onrender.com/mcp
Point your MCP client to this URL. It supports Streamable HTTP transport.
Self-Hosted HTTP (optional)
To run the HTTP transport yourself:
SHOPIFY_STORE_DOMAIN=64cd5c-2.myshopify.com \
SHOPIFY_STOREFRONT_ACCESS_TOKEN=aeeec5ab77309d1c339d2971f56b6506 \
npx wonderkraftz-mcp-http
The server starts on http://localhost:3000/mcp (or set PORT env var).
Transports
| Transport | Entry Point | Use Case |
|---|---|---|
| stdio | wonderkraftz-mcp | Cursor, Claude Desktop, local AI tools |
| Streamable HTTP | wonderkraftz-mcp-http | ChatGPT, Grok, remote/cloud AI tools |
Environment Variables
| Variable | Description | Required |
|---|---|---|
SHOPIFY_STORE_DOMAIN | Shopify store domain (e.g., your-store.myshopify.com) | Yes |
SHOPIFY_STOREFRONT_ACCESS_TOKEN | Public Storefront API access token | Yes |
PORT | HTTP server port (default: 3000, HTTP transport only) | No |
Available Tools
| Tool | Description |
|---|---|
search_products | Search the product catalog by keyword |
get_product_details | Get full details for a product by handle or ID |
get_collections | List all product collections |
get_collection_products | Browse products in a specific collection |
get_recommendations | Get product recommendations based on a product |
create_cart | Create a new shopping cart with items |
add_to_cart | Add items to an existing cart |
update_cart | Update item quantities in a cart |
remove_from_cart | Remove items from a cart |
get_cart | View cart contents and totals |
get_checkout_url | Get checkout URL to complete purchase |
get_store_policies | View store shipping, return, and privacy policies |
Available Resources
| URI | Description |
|---|---|
wonderkraftz://store/info | Store information, branding, and payment settings |
wonderkraftz://collections | List of all product collections |
Example Conversations
"Show me corporate gift options under 2000 rupees"
"I need a wedding gift hamper. What do you recommend?"
"Add the luxury gift box to my cart and give me the checkout link"
"What's your return policy?"
Development
git clone https://github.com/rachit1987/wonderkraftz-mcp.git
cd wonderkraftz-mcp
npm install
cp .env.example .env # Add your Shopify credentials
npm run build
npm start # stdio transport
npm run start:http # HTTP transport
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.