amazon-sorftime-research-MCP-skill

by liangdabiao · HTML · ★ 385

亚马逊选品之 Listing全维度穿透分析报告加上全品类分析，关键词分析，差评分析，市场调研等等。OpenClaw /claude code agent skill, amazon sorftime research MCP 智能体skill.基于 Sorftime MCP 服务和 Claude Skills 的亚马逊竞品分析工具集。

#agent

Install

git clone https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "amazon-sorftime-research-mcp-skill": {
      "command": "npx",
      "args": [
        "-y",
        "github:liangdabiao/amazon-sorftime-research-MCP-skill"
      ]
    }
  }
}

From the README

基于 Sorftime MCP 服务和 Claude Skills 的亚马逊分析工具集。本项目配置了 Sorftime 跨境电商数据服务的 MCP (Model Context Protocol) 服务器，并开发了六个核心技能： | 技能 | 分析对象 | 命令 | 用途 | |------|----------|------|------| | | 单个Listing | | 竞品Listing全维度穿透分析 | | | 整个品类 | | 品类自动化选品分析 | | | 关键词词库 | | 关键词深度调研与8维智能分类 | | | 用户评论 | | 评论深度分析与痛点挖掘 | | | 选品深度调研 | | LLM驱动的选品深度调研与决策 | | | 综合电商研究 | | 基于Sif MCP的亚马逊市场验证、竞品分析、流量诊断、关键词策略、广告审查、发布评估与增长优化 | - **竞品Listing分析**: 自动获取产品详情、评论、关键词、趋势数据 - **关键词分析**: 流量来源、竞品布局、长尾词挖掘 - **评论情感分析**: 优势聚类、痛点识别、改进建议 - **跨平台分析**: TikTok带货视频、达人分析、1688采购成本 - **市场大盘分析**: Top100产品数据 + 统计指标 - **五维评分模型**: 市场规模、增长潜力…

Read full README on GitHub →

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