TailorKit MCP
@sellersmith
About TailorKit MCP
TailorKit MCP is a powerful product customization framework for e-commerce that enables merchants to create interactive personalization experiences. Features template management, layer control, and Shopify integration for offering customizable products with minimal development ef
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"tailorkit-mcp": {
"command": "node",
"args": [
"path/to/your/dist/index.js"
],
"env": {
"HOST": "https://your-api-host.com",
"ACCESS_TOKEN": "your-access-token"
}
}
}
}Tools
4List of templates with their details
Detailed template information including layers and settings
Confirmation of template creation with template ID
List of all layers in the template with their properties
Overview
What is TailorKit MCP?
TailorKit MCP is a Model Context Protocol server that connects AI assistants like Claude to the TailorKit API. It enables merchants to manage customizable product templates for e-commerce platforms by creating, retrieving, and manipulating templates and their layers through natural language conversations.
How to use TailorKit MCP?
Configure the server in your claude_desktop_config.json with the tailorkit-mcp command pointing to the built index.js, and set the environment variables HOST (your TailorKit API host URL) and ACCESS_TOKEN (generated in TailorKit Settings → Preferences). You can also install from npm via npm install @sellersmith/tailorkit-mcp or build from source.
Key features of TailorKit MCP
- List product templates with pagination and filtering
- Retrieve detailed information about a specific template
- Create new templates with custom dimensions and layers
- List all layers of a given template
- Integrates with Shopify stores (requires .myshopify.com domain)
- Uses natural language to manage templates via AI assistants
Use cases of TailorKit MCP
- Allow merchants to create new customizable product templates using a chat interface
- Quickly browse and inspect existing templates without leaving the AI conversation
- Manage template layers for complex product personalization workflows
- Integrate product customization into Shopify stores with minimal manual API calls
FAQ from TailorKit MCP
What does TailorKit MCP do?
It provides AI assistants with tools to list, retrieve, create, and inspect templates and their layers via the TailorKit API, enabling natural-language management of customizable product offerings.
What are the runtime requirements?
Node.js is required to run the server. You must also provide a valid HOST URL and an ACCESS_TOKEN (generated from TailorKit Settings → Preferences) as environment variables.
How is authentication handled?
The server uses an ACCESS_TOKEN environment variable for API authentication. The token can be generated in TailorKit under Settings → Preferences.
Does TailorKit MCP store any data locally?
No. All operations interact with the TailorKit API; the server itself does not persist data.
What transports are supported?
The server communicates via standard input/output (stdio) using the Model Context Protocol, as shown in the Claude Desktop configuration example.
Frequently asked questions
What does TailorKit MCP do?
It provides AI assistants with tools to list, retrieve, create, and inspect templates and their layers via the TailorKit API, enabling natural-language management of customizable product offerings.
What are the runtime requirements?
Node.js is required to run the server. You must also provide a valid `HOST` URL and an `ACCESS_TOKEN` (generated from TailorKit Settings → Preferences) as environment variables.
How is authentication handled?
The server uses an `ACCESS_TOKEN` environment variable for API authentication. The token can be generated in TailorKit under Settings → Preferences.
Does TailorKit MCP store any data locally?
No. All operations interact with the TailorKit API; the server itself does not persist data.
What transports are supported?
The server communicates via standard input/output (stdio) using the Model Context Protocol, as shown in the Claude Desktop configuration example.
Basic information
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