Voc Amazon Reviews
About
Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout
Details
- Author
- mguozhen
- Downloads
- 312
- Categories
- Cloud Service
Jump to
- Real OpenAPI access, not DOM scraping
- Verified-purchase, Vine, and helpful-vote signals included
- Proprietary listing rubric trained on 2B+ reviews
- Agent-first design with optimized tool schemas
- Fetch up to 1000 reviews per ASIN
- Generate standalone HTML dashboards
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Voc Amazon ReviewsCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Add the server to your MCP client config (e.g., Claude Code, Cursor, Cline) as shown in the README, setting VOC_API_KEY and ANTHROPIC_API_KEY environment variables. Install uv first; the server exposes five tools: fetch_reviews, analyze_reviews, voc_full, extract_listing_improvements, analyze_csv, and render_dashboard.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"voc amazon reviews": {
"voc-amazon-reviews": {
"command": "uvx",
"args": [
"voc-amazon-reviews-mcp"
],
"env": {
"VOC_API_KEY": "your-shulex-key",
"ANTHROPIC_API_KEY": "your-anthropic-key"
}
}
}
}
}McpServers
{
"voc-amazon-reviews": {
"command": "uvx",
"args": [
"voc-amazon-reviews-mcp"
],
"env": {
"VOC_API_KEY": "your-shulex-key",
"ANTHROPIC_API_KEY": "your-anthropic-key"
}
}
}VOC Amazon Reviews — Agent-Native Review Intelligence
Fetch and analyze verified Amazon reviews from 10 marketplaces (US, CA, MX, GB, DE, FR, IT, ES, JP, AU) via real Shulex OpenAPI — not scrapers. Built for AI agents running Amazon-seller workflows.What it does
| Tool | What it does | |---|---| |fetch_reviews | Pull verified Amazon reviews for any ASIN, up to 1000 per call |
| analyze_reviews | Turn raw reviews into structured VOC reports (themes, sentiment, complaints) |
| voc_full | One-shot fetch + analyze for ad-hoc seller questions |
| extract_listing_improvements | Generate copy-ready title, 5 bullets, description — grounded in real customer language. Uses Claude Opus 4.7 + proprietary rubric distilled from Shulex's 2B-review corpus |
| analyze_csv | Run VOC analysis on any CSV/Excel (Walmart, Shopify, support tickets) |
| render_dashboard | Generate standalone HTML dashboards |
Why it's different
- Real OpenAPI access, not DOM scraping — won't break when Amazon changes HTML - Verified-purchase, Vine, helpful-vote, variant signals included in every review - Proprietary listing rubric trained on 2B+ historical Amazon reviews (data indexed before Amazon's access restrictions; cannot be replicated by buying API access today) - Agent-first design — tool schemas, error codes, and metadata optimized for LLM router selectionInstallation (one line)
Add this to your MCP client config (Claude Code, Cursor, Cline): ``json
{
"mcpServers": {
"voc-amazon-reviews": {
"command": "uvx",
"args": [
"voc-amazon-reviews-mcp"
],
"env": {
"VOC_API_KEY": "your-shulex-key",
"ANTHROPIC_API_KEY": "your-anthropic-key"
}
}
}
}
`
Requires uv (install). First run pulls the repo and resolves deps in ~10s; subsequent runs are instant.
Get a free Shulex API key (100 calls/month, no credit card): apps.voc.ai/openapi
Example workflows
Listing rewrite: "Pull reviews of my ASIN and the top 3 competitors. Rewrite my listing to attack their weak points." → agent calls fetch_reviews × 4 → analyze_reviews × 4 → extract_listing_improvements → complete listing draft.
Daily monitoring: Schedule voc_full × 10 ASINs daily via cron; alerts on new negative theme clusters.
Competitor gap analysis: "What do customers complain about in this category that no top seller addresses?" → fetch_reviews × 5 → analyze_reviews` → list of unaddressed pain points.
License
MITSign in to leave a review
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