
Wonderkraftz - Premium Gifting Studio
io.github.rachit1987Published by GitHub account rachit1987v1.0.0Updated Oct 24, 2026
Browse and shop Wonderkraftz premium gifts. Recommendations, cart, and checkout via AI.
Overview
Lets an assistant browse the Wonderkraftz gift catalog, get recommendations, manage a shopping cart, and produce a checkout link.
- What you can do
- Connects an assistant to the Wonderkraftz Premium Gifting Studio storefront. Tools cover product search, product details, collections, recommendations, cart creation and updates, cart viewing, checkout URL generation, and store policies. Two resources expose store information and the collection list.
- When to use it
- Useful when someone wants to shop for premium or corporate gifts conversationally: finding items by occasion or keyword, comparing options, building a cart, and getting a link to finish the purchase in a browser.
- Requirements
- Runs as a local process via npx or a global npm install, so Node.js is needed. Requires the environment variables SHOPIFY_STORE_DOMAIN and SHOPIFY_STOREFRONT_ACCESS_TOKEN. A hosted HTTP endpoint is also described for remote clients. Desktop only.
Installation
In SourceWeft
- Open Wonderkraftz - Premium Gifting Studio in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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)
Option 2: Install globally
Setup
Cursor IDE
Add to your project's .cursor/mcp.json:
Claude Desktop
Add to claude_desktop_config.json:
ChatGPT / Grok / Remote AI Tools
Use the hosted HTTP endpoint -- no install needed:
Point your MCP client to this URL. It supports Streamable HTTP transport.
Self-Hosted HTTP (optional)
To run the HTTP transport yourself:
The server starts on http://localhost:3000/mcp (or set PORT env var).
Transports
Environment Variables
Available Tools
Available Resources
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
License
MIT
Source: README.md at commit 4854687
Tools
0Version history
1- v1.0.0LatestSep 16, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Declare a license in the repository or the registry entry.