Voc Amazon Reviews
@mguozhen
关于 Voc Amazon Reviews
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
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"voc-amazon-reviews": {
"command": "uvx",
"args": [
"voc-amazon-reviews-mcp"
],
"env": {
"VOC_API_KEY": "your-shulex-key",
"ANTHROPIC_API_KEY": "your-anthropic-key"
}
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Voc Amazon Reviews?
Voc Amazon Reviews is an MCP server that fetches and analyzes verified Amazon reviews from 10 marketplaces (US, CA, MX, GB, DE, FR, IT, ES, JP, AU) via the real Shulex OpenAPI—not scrapers. It is built for AI agents running Amazon-seller workflows.
How to use Voc Amazon Reviews?
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.
Key features of Voc Amazon Reviews
- 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
Use cases of Voc Amazon Reviews
- Rewrite a product listing by analyzing reviews of your ASIN and three competitors.
- Schedule daily VOC monitoring for a set of ASINs with alerts on new negative themes.
- Discover unaddressed customer pain points in a category that no top seller covers.
FAQ from Voc Amazon Reviews
How does Voc Amazon Reviews differ from scraping?
It uses the real Shulex OpenAPI, so it won't break when Amazon changes HTML and includes verified-purchase and variant signals.
What runtime dependencies are required?
You need uv installed, plus an MCP client capable of running MCP servers. The first run resolves dependencies in about 10 seconds.
How many reviews can I fetch per call?
Up to 1000 reviews per ASIN per call using the fetch_reviews tool.
Where does the review data come from?
All data comes from the Shulex OpenAPI, which provides access to historic Amazon reviews indexed before recent access restrictions.
What authentication is needed?
You must provide a Shulex API key (VOC_API_KEY) and an Anthropic API key (ANTHROPIC_API_KEY). A free Shulex key (100 calls/month) is available at apps.voc.ai/openapi with no credit card.
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