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.
@mguozhen
基本信息
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
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"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.
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.
It uses the real Shulex OpenAPI, so it won't break when Amazon changes HTML and includes verified-purchase and variant signals.
You need `uv` installed, plus an MCP client capable of running MCP servers. The first run resolves dependencies in about 10 seconds.
Up to 1000 reviews per ASIN per call using the `fetch_reviews` tool.
All data comes from the Shulex OpenAPI, which provides access to historic Amazon reviews indexed before recent access restrictions.
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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