Amazon Sorftime Research MCP Skill

Skill by ara.so — MCP Skills collection.

This skill enables AI agents to perform comprehensive Amazon product research, competitor analysis, category selection, keyword research, and review analysis using the Sorftime MCP service. It provides seven core skills for cross-border e-commerce decision-making: listing analysis, category selection, keyword research, review analysis, product research, Sif research, and Xiyou insight.

Overview

The project integrates three MCP services (Sorftime, Sif, Xiyou) and provides Python-based analysis tools for:

• Single Listing Analysis: Deep-dive into competitor products with keyword, review, and trend analysis
• Category Selection: Market analysis of Top 100 products with five-dimension scoring
• Keyword Research: 8-dimension intelligent classification of 1500+ keywords with ad strategy guidance
• Review Analysis: 6-dimension pain point analysis with service risk warnings
• Product Research: LLM-driven deep research workflow from data collection to decision
• Sif Research: Market validation, competitor growth paths, keyword layout, and traffic diagnostics
• Xiyou Insight: 7 scenario workflows for ad monitoring, traffic gap, competitor analysis, new product launch, ad budget transparency, and keyword database building

Installation