product-chart-get

Automate fetching product data from MCP by running the end-to-end workflow to retrieve raw items, apply AI-screening, and output two formatted Excel reports. It uses reusable CLI scripts to process data and assemble final outputs.

Filter non-viable products and detect seasonality automatically using the built-in AI-driven title normalization and screening. The workflow applies these filters during data retrieval to ensure only viable items remain in the final chart.

The workflow supports both merged input processing and per-page data retrieval from MCP. This flexibility allows you to handle either accumulated datasets or retrieve targeted product information page by page.

Avoid duplicate products across multiple runs by reusing previously screened-out items. The workflow accumulates a record of filtered products to automatically exclude them from subsequent data pulls and final Excel outputs.

You need the openpyxl dependency installed to generate the final product selection chart. It is required by the CLI scripts to write the curated product data into the two Excel report files.

The best way to run the end-to-end product data retrieval workflow is to execute the provided CLI scripts. They sequentially fetch raw data via mcporter, apply AI filters, and assemble the final selection Excel files.