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目录 / voc-amazon-reviews

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voc-amazon-reviews

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

接入信息

传输形态
http
鉴权方式
鉴权未知
端点
https://voc-amazon-reviews--mguozhen02.run.tools
鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段
{
  "mcpServers": {
    "voc-amazon-reviews": {
      "url": "https://voc-amazon-reviews--mguozhen02.run.tools"
    }
  }
}

能力清单

工具说明
fetch_reviewsFetch raw Amazon reviews for an ASIN via the Shulex VOC API. No analysis — returns the raw review array plus metadata. Use this when you want to plug reviews into your own analysis pipeline, or when you plan to call `analyze_reviews` later (avoids paying the Shulex API twice). Args: asin: 10-character Amazon product ID (e.g. "B08N5WRWNW"). market: Market code (US, GB, DE, FR, IT, ES, JP, AU, CA, MX) or amazon.* domain ("amazon.co.uk"). Default: US. limit: Number of reviews to fetch (1-1000). Default: 100. Returns: { "reviews": [{rating, title, body, date, verified, ...}, ...], "meta": {asin, market, total_available, fetched} }
analyze_reviewsRun AI analysis on reviews you already have. Useful when you fetched reviews via `fetch_reviews` (or your own scraper) and want the VOC report — sentiment breakdown, pain points, selling points, listing tips — without re-paying the Shulex API. Args: reviews_json: Either fetch.sh's `{reviews, meta}` envelope, or a bare list of review objects. asin: 10-character ASIN that the reviews belong to (for the report header). Returns: {asin, market, report_markdown, sentiment, pain_points, selling_points, tips, summary_zh, summary_en}
voc_fullOne-shot: fetch reviews AND run AI analysis. The default tool for "give me a VOC report on this ASIN" style requests. Internally equivalent to `bash voc.sh ASIN` — calls fetch.sh and analyze.sh in sequence. Args: asin: 10-character ASIN. market: Market code or amazon.* domain (default: US). limit: Number of reviews to fetch (default 100, max 1000). Returns: Same shape as `analyze_reviews`.
extract_listing_improvementsDifferentiator tool — derive specific, copyable listing improvements from the VOC report, grounded in actual customer language. Instead of raw search-volume tables (Data Dive style), Claude reads the full VOC report and produces a title, 5 bullets, a description paragraph, and missing keywords — each suggestion citing the pain point it preempts or selling point it amplifies. Requires ANTHROPIC_API_KEY. Costs ~$0.05-0.20 per call (claude-opus-4-7).
analyze_csvAnalyze any review CSV / Excel — not just Amazon. Drag in a Helium 10 export, an eBay / AliExpress scrape, or your own Shopify export. The loader fuzzy-matches column names (`内容` / `评价` / `body` / `review` / `content` all detected automatically) so you don't have to reformat the file. Use this when: - The product is NOT on Amazon (eBay / AliExpress / D2C) - You already have a reviews file from another source - You want to bypass the Shulex VOC API entirely Args: csv_path: Local path or HTTP(S) URL to a .csv / .xls / .xlsx file. product_name: Optional friendly name for the report header. market: Optional marketplace tag (US / GB / OTHER, etc.). Returns: Same shape as `analyze_reviews`, with `meta.columns_detected` showing which columns the loader matched.
render_dashboardRender a VOC report as a standalone black-gold HTML dashboard. The output is single-file HTML — no external dependencies, opens directly in any browser. Includes sentiment bar, pain-point / selling-point panels, executive summary, and (if `improvements` provided) a copy-ready listing optimization card. Args: report: Output from `analyze_reviews` / `voc_full` / `analyze_csv`. improvements: Optional output from `extract_listing_improvements`. product_name: Friendly product name for the headline. output_path: Optional file path to write the HTML to. Returns: {html, bytes, output_path}
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