voc-amazon-reviews

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SUMMARY

MCP server + Agent Skill for Amazon review intelligence. The data layer is the moat — backed by Shulex VOC OpenAPI (industry's most stable Amazon review feed).

README.md

VOC AI

VOC Amazon Reviews

The most stable, most complete Amazon review data — wired into any AI tool via MCP.

API-grade. 10 marketplaces. Up to 1,000 reviews per ASIN. No scraper fragility. Open source.

30s Setup OpenClaw Claude Code MCP Server MIT License 10 Marketplaces

Quick StartDemoMCP ServerUsageHow It WorksRoadmap


Why this exists — the data is the moat

Most Amazon seller tools have a dirty secret: the data is the problem, not the AI. Scrapers break the day Amazon ships a CSS change. "Free" tools cap you at 10 reviews. Paid SaaS dashboards lock the raw data behind a UI you can't query from your own scripts. Multi-market support is afterthought. Updates are daily snapshots, not live.

We built this project around the opposite premise: the review data layer should be boring, reliable, complete, and AI-native. Everything else — sentiment analysis, pain-point extraction, listing copy generation, the MCP server — is downstream of that.

Typical seller-tool data layer This project
Source Web scraper or undocumented scraping API Paid OpenAPI (Shulex VOC)
Reliability Breaks when Amazon changes HTML API-grade, no DOM dependencies
Markets Usually US-only 10: US, CA, MX, GB, DE, FR, IT, ES, JP, AU
Volume 10–50 reviews per ASIN (free tier cap) Up to 1,000 per ASIN per call
Freshness Daily snapshots, sometimes cached for days Live pull
Schema Strings only — verified/helpful/variant often dropped Full schema: verified-purchase, helpful votes, vine voice, variant, dates
Non-English markets Often broken or omitted Native — JP/DE/FR/IT/ES reviews captured verbatim, then AI-translated for analysis
Access pattern Locked behind their UI curl + JSON, fully scriptable, MCP-ready

You can build any analysis layer on top. The data underneath won't be the bottleneck.


🆕 MCP Server — feed this data layer directly to Claude / Cursor / Windsurf

                Claude / Cursor / Windsurf
                          │
                          │   MCP (stdio)
                          ▼
                    mcp_server/  ←  4 tools, all powered by the data layer above
                          │
                          ├──  fetch_reviews                  ← the data, raw
                          ├──  analyze_reviews                ← data → insights
                          ├──  voc_full                       ← one-shot
                          └──  extract_listing_improvements   ← data → copyable listing edits

Self-hosted, BYO API key, open source. See mcp_server/ for the install + Claude Desktop / Code config snippets.


Demo

VOC AI Demo — ASIN to report in 5 seconds

Input an ASIN. Get deep bilingual insights in 5 seconds. Fetches real Amazon reviews via Shulex VOC API, then runs AI semantic analysis — sentiment, pain points, selling points, and listing optimization tips. Not keyword counting. Actual language understanding.

Features

Data layer (the foundation):

Feature Description
API-grade reliability Shulex VOC OpenAPI — no scrapers, no CAPTCHAs, no IP bans
10 marketplaces US, CA, MX, GB, DE, FR, IT, ES, JP, AU — full coverage
Up to 1,000 reviews / ASIN Configurable per call; most tools cap at 10–50
Full review schema Rating, body, verified-purchase, helpful votes, vine voice, variant, dates
Live, not cached Every call hits the live API — no stale daily snapshots
Zero browser deps curl + python3 only. No Selenium, no proxy farm, no Docker

Analysis layer (built on top):

Feature Description
Sentiment Analysis Positive / neutral / negative breakdown with percentages
Pain Points Top 5 customer complaints with real quotes and mention counts
Selling Points Top 5 things buyers love with real quotes and mention counts
Listing Optimization Actionable copy suggestions backed by review data
Bilingual Output Every insight in both English and Chinese
AI-native via MCP Plug into Claude Desktop / Code / Cursor / Windsurf in one config block
Free to Start 8 reviews = 5 credits. New accounts include starter credits

Quick Start

Step 1 — Get your free API key (30 seconds):

👉 apps.voc.ai/openapi

Step 2 — Clone and run:

git clone https://github.com/mguozhen/voc-amazon-reviews.git
cd voc-amazon-reviews
export VOC_API_KEY="your-key"
bash voc.sh B08N5WRWNW

That's it. No Docker. No npm install. No config files.

Usage

# Quick analysis — 8 reviews (5 credits)
bash voc.sh B08N5WRWNW

# Deep analysis — 100 reviews (50 credits)
bash voc.sh B08N5WRWNW --limit 100

# Japan marketplace
bash voc.sh B08N5WRWNW --market JP

# Save report to file
bash voc.sh B08N5WRWNW --limit 100 --output report.md

Options

Flag Default Description
--limit N 8 Number of reviews to fetch
--market CODE US Amazon marketplace (US CA MX GB DE FR IT ES JP AU)
--output FILE stdout Save report to markdown file
--help Show help

Cost Guide

Reviews Credits Use Case
8 (default) 5 Quick competitor check
50 25 Product validation
100 50 Deep analysis
200 100 Comprehensive audit

Sample Output

╔══════════════════════════════════════════════════════════════╗
║          VOC AI 分析报告 / VOC AI Analysis Report           ║
║  ASIN: B099Z93WD9  |  analyzed: 8 reviews                   ║
║  Market: US  |  Generated: 2026-04-19                        ║
╚══════════════════════════════════════════════════════════════╝

📊 情感分布 / Sentiment Distribution
─────────────────────────────────────────
  正面 Positive  ████████░░░░░░░░░░░░  37%
  中性 Neutral   ██░░░░░░░░░░░░░░░░░░  13%
  负面 Negative  ██████████░░░░░░░░░░  50%

🔴 Top 5 痛点 / Pain Points
═══════════════════════════════════════════════════════════════
1. 充电口故障 / Charging port moisture glitch(2 条提及)
   「充电口提示有水分,已知bug,一周都没恢复」
   "Moisture in charging port — known glitch, can't charge"

2. 视频卡顿 / Video stalling and weak connection(2 条提及)
   「看视频经常卡顿暂停,给小孩看的时候很烦」
   "Stalls out, pausing videos, really annoying"

🟢 Top 5 卖点 / Selling Points
═══════════════════════════════════════════════════════════════
1. 性价比高 / Great value for money(3 条提及)
   「价格实惠,功能齐全,看电影看书玩游戏都行」
   "Budget friendly, entertainment on the go"

2. 便携尺寸 / Perfect portable size(2 条提及)
   「尺寸刚好,放包里轻松带上飞机看电影」
   "Perfect size, light and easy to fit in my purse"

💡 Listing 优化建议 / Optimization Suggestions
═══════════════════════════════════════════════════════════════
1. Highlight budget-friendly and portability in title
2. Add charging port care instructions in A+ Content
3. Guide users to sideload popular apps

How It Works

┌─────────────┐     ┌──────────────────┐     ┌─────────────────┐
│  Input ASIN │────▶│  Shulex VOC API  │────▶│  AI Analysis    │
│             │     │                  │     │                 │
│  B099Z93WD9 │     │  • Real reviews  │     │  • Sentiment    │
│  --market US│     │  • 10 markets    │     │  • Pain points  │
│  --limit 8  │     │  • 5s response   │     │  • Sell points  │
│             │     │  • No scraping   │     │  • Optimization │
└─────────────┘     └──────────────────┘     └────────┬────────┘
                                                      │
                                                      ▼
                                            ┌─────────────────┐
                                            │ Bilingual Report │
                                            │   (EN + ZH)     │
                                            └─────────────────┘

File Structure

voc-amazon-reviews/
├── SKILL.md        # Skill definition (Claude/OpenClaw)
├── voc.sh          # Main entry point
├── fetch.sh        # Shulex VOC API client
├── analyze.sh      # AI analysis + report renderer
├── scraper.sh      # Legacy browser scraper (deprecated)
├── tests/
│   ├── test_unit.sh        # 50 unit tests
│   └── test_regression.sh  # 17 regression tests (live API)
├── demo/
│   ├── voc-demo.gif        # Demo recording
│   └── demo.sh             # Demo script
└── docs/
    ├── GTM.md        # Go-to-market strategy
    ├── ROADMAP.md    # Product roadmap
    └── STORY.md      # Project narrative

FAQ

Where does the review data come from?

Reviews are fetched via the Shulex VOC API — a legitimate data provider with proper Amazon data licensing. No scraping. No browser automation. Just a clean API call.

How much does it cost?
Component Cost
VOC API (8 reviews) 5 credits
VOC API (100 reviews) 50 credits
AI analysis Depends on your OpenClaw model

New accounts include starter credits — enough for multiple analyses. Get your free API key.

Is this against Amazon's Terms of Service?

No. This tool uses the Shulex VOC API, which is a licensed data provider. It does not scrape Amazon directly.

What about API keys and security?

VOC_API_KEY is read from environment variables — never written to disk or printed to stdout.

Related

License

MIT

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