Description
Matrixify MCP is a remote Model Context Protocol (MCP) server that connects AI assistants and agents like Claude Cowork to the Matrixify app installed on a Shopify store.
Export, Import, and manage Shopify store data in bulk through Matrixify with your favorite AI agent. Programmatically creating and monitoring jobs, mapping data, and accessing Matrixify’s documentation – all without requiring the user to open the Matrixify app directly or manually work on the file’s contents.
Features
Export Shopify data – Create export jobs for any data entity supported in the Matrixify app. Configure which columns and groups to include, apply filters, and export to Excel or CSV format. Supports scheduled and recurring automated export creation.
Import Shopify data – Import data from local file uploads or remote URLs (HTTP, HTTPS, FTP, SFTP). Matrixify auto-detects entities from file and sheet names. Supports creating new items, updating existing ones, and deleting store data for any importable data entity, such as Products, Collections, Orders, Discounts, Customers, and more.
Migrate to Shopify – Import data from other e-commerce platforms directly into Shopify without manual file conversion. Migrations from WooCommerce, WordPress, BigCommerce, Magento and LightSpeed are supported by the Matrixify app directly, where the Matrixify app will convert other platforms’ files to an importable file structure. Migrate from any other e-commerce platform or supplier-provided files by using your connected AI Agent to convert the source data to the Matrixify import format.
Monitor and manage Import and Export jobs – List all or specific Matrixify app Import/Export jobs. Check job status, setup, and other details. Follow the progress of running exports and imports, download result files, and cancel jobs.
Search Matrixify documentation – Query the Matrixify knowledge base to look up column formats, template structure, import commands, supported values, and other reference information. Used by the AI agent to confirm correct data formatting and to understand Matrixify app features and functionality.
Set up and connection instructions
- Install the Matrixify app on your Shopify store from the Shopify App Store.
- In Claude Desktop or Claude Cowork, in Customize -> Connectors section, add Matrixify as an MCP connector with
https://mcp.matrixify.app/mcpas the Remote MPC Server URL. - In the Matrixify app -> Settings -> AI Agent MCP Tokens section, generate a new MCP Token.
- Use the generated Token to connect your AI Agent to the Matrixify MCP.
Usage examples
Example 1: Import Shopify Products from a supplier file
Upload a supplier-provided file to Claude and ask it to update your Shopify products. Claude will read the file, map the supplier columns to Matrixify’s import format, build the import file, and push it to your store.
User prompt:
Update my Shopify Products from my supplier file using the Matrixify app. Update Products based on the provided barcode and add 20% to the prices.
What happens:
Claude AI will read the user-provided file for its contents, such as data structure and column names.
Uses Matrixify MCP to look up the correct import structure and ask specific questions for import logic on how to identify and update Products by Barcode.
Claude AI writes a Python code to extract data from the user-provided PDF file and write it into a CSV file in the Matrixify import template.
Once the Matrixify template CSV file is ready, the AI uses Matrixify MCP to upload a file to the Matrixify app and create an import job.
After confirming the import job setup, the import is started, and AI polls the job until it completes.
When the import job finishes, a summary is returned on how many products were updated, if there were any failures in the imported and a short description of what actions were done.
Also, the Excel spreadsheet file that was constructed and imported is returned.
Example 2: Generate custom data reports
Generate custom reports based on data from your Shopify store.
User prompt:
Generate a report from my Shopify Orders data on quantity and value sold each month this year for Product “Summer Hat”. Use Orders Processed At date for monthly report.
What happens:
Claude AI uses Matrixify MCP to understand the Export setup and available data filters.
Creates the Export job with the specified columns, filters, and CSV format. Once the job finishes, the exported file is downloaded.
The exported file is analyzed and processed with Python code to generate the custom data report.
The generated report is returned as a summary in the Claude Cowork thread and as a downloadable Excel XLSX file.
Example 3: Bulk update Product data using export-edit-import workflow
Bulk edit existing data in your Shopify store. Claude can run an export to get the current data, modify it, and import the edited file with Matrixify.
User prompt:
Some Products in my Shopify store do not have descriptions. Update those Products with realistic descriptions generated based on their Titles and Tags.
What happens:
Connects to the Matrixify MCP, looks up the export job setup, and uses help search to learn Matrixify functionality.
Creates a Matrixify Export job with a “Body HTML is empty” filter. Once the export finishes, the file is downloaded and processed.
Reads the exported data and generates new descriptions in the Body HTML column based on each Product’s Title and Tags.
Uploads the file to Matrixify, creates an Import job, and starts the import.
The import job is monitored to get real-time feedback on the job progress.
Final confirmation with the Import job status and completed task is returned once the import has finished.
Tool descriptions
The tools listed below are the MCP server endpoints available to the connected AI agent. They are the underlying operations that Claude (or any other MCP-compatible AI agent) calls automatically when processing your requests.
You do not need to use or reference these tools directly; they are documented here for technical transparency.
| Matrixify MCP Tool | Description |
|---|---|
| matrixify_export_create | Create an Export job. |
| matrixify_export_get_setup | Get details about the Export job setup – sheets, columns, options, etc. |
| matrixify_export_get_setup_filters | Get details about available Export filters for each exportable data entity. |
| matrixify_import_create_from_url | Create an import job where the import file is uploaded from a URL. |
| matrixify_import_get_setup | Get details about the Import job setup – sheets, columns, options, etc. |
| matrixify_import_get_supported_formats | Get details about supported Import formats. |
| matrixify_import_get_upload_url | Get a pre-signed secure URL to upload a file for import and a URL to call after uploading to start an Import estimate. |
| matrixify_import_update | Update Import Mapping |
| matrixify_import_start | Start an Import job after the estimate and all updates on it are done. |
| matrixify_job_get | Get details about a specific Import or Export job by its ID. |
| matrixify_job_cancel | Cancel a specific job by its ID. |
| matrixify_job_results_download | Download the result file from a specific Export or Import job by its ID. |
| matrixify_jobs_list | List recent jobs in the Matrixify app. Allows pegination. |
| matrixify_help_search | Search Matrixify help documentation by sending specific questions. |
