This project provides a comprehensive toolkit for Amazon e-commerce professionals, enabling in-depth market research, competitor analysis, and product selection. By integrating the Sorftime MCP data service with Claude Skills, it offers advanced analytical capabilities for users aiming to make data-driven decisions on Amazon.

How It Works

The project leverages the Sorftime MCP (Model Context Protocol) server, a cross-border e-commerce data service, and enhances it with five core Claude Skills. These skills automate complex analyses, including competitor listing deep dives, category-wide product selection, keyword research, user review analysis, and LLM-driven product research, providing actionable insights.

Quick Start & Requirements

• Prerequisites: Claude Code CLI, a valid Sorftime API Key, and a Bash shell environment.
• Setup: Obtain an API key from Sorftime MCP and update the .mcp.json configuration file with the provided key.
• Usage: Execute commands like /amazon-analyse {ASIN} {SITE} for listing analysis or /category-select "{Category}" {SITE} for category selection.
• Links: Sorftime Website: https://www.sorftime.com, Claude Code Documentation: https://claude.ai/code.

Highlighted Details

• Five Core Skills: Offers dedicated tools for amazon-analyse, category-selection, keyword-research, review-analysis, and product-research.
• Multi-Format Reporting: Generates detailed reports in Markdown, Excel, and interactive HTML dashboards.
• LLM-Driven Product Research: The product-research skill utilizes Large Language Models for in-depth analysis, insight generation, and decision support.
• Advanced Keyword Analysis: Features an 8-dimensional intelligent classification model for keywords, aiding advertising strategy.
• Comprehensive Review Analysis: Employs a 6-dimensional pain point framework and service dimension breakdown to identify product improvement areas.
• Category Scoring Model: A 5-dimensional model evaluates market size, growth potential, competition, entry barriers, and profit margins for category selection.

Maintenance & Community

The project was last updated on March 19, 2026 (v2.6). No specific community channels (e.g., Discord, Slack) or notable contributors are detailed in the provided README.

Licensing & Compatibility

The project is released under the MIT License, which generally permits commercial use and integration into closed-source projects.

Limitations & Caveats

ASIN lookups may fail if the product is not present in the Sorftime database; users are advised to verify ASINs and consider using keyword-based searches if direct lookups are unsuccessful. Potential UTF-8 encoding issues might arise if the Python environment is not properly configured.