amazon-sorftime-research-MCP-skill

An Amazon product selection and competitor analysis tool offering comprehensive penetration reports, keyword analysis, and more.

Agent SkillBusinessOpen source

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Type: Agent Skill
Transport: http
Open source: Yes
GitHub Stars: ★ 1.0k
Source: skill-github
Repository: github.com/liangdabiao/amazon-sorftime-research-MCP-skill

Overview

This is a set of Amazon cross-border e-commerce analysis tools based on MCP services such as Sorftime, Sif, Xiyu Insight, and SellerSprite. It provides nine core capabilities, including competitor Listing analysis, automated category-based product selection, in-depth keyword research, detailed review analysis, deep-dive product selection research, Sif Amazon research, Xiyu Insight analysis, and full-chain SellerSprite investigation. These capabilities help AI perform market validation, competitor analysis, traffic diagnostics, keyword strategy development, ad review, listing evaluation, and growth optimization.

Capabilities

▪Comprehensive competitor Listing penetration analysis
▪Automated category-based product selection analysis
▪In-depth keyword research with 8-dimensional intelligent categorization
▪Detailed review analysis and pain point identification
▪LLM-driven deep-dive product selection and decision-making

Use cases

Amazon product selection analysisCompetitor monitoring and analysisKeyword research and optimizationMarket research and trend analysis

Setup

Requires: API Key

Please refer to the installation and configuration instructions in the project README.

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

How to get the API Key?

Please visit the official website of the relevant MCP service provider to register and obtain the API Key.

Which marketplaces are supported?

Supports multiple Amazon marketplaces; please refer to the specific command parameters.

How to use these capabilities?

Call the corresponding commands and pass in the required parameters; see the project README for details.

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