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Amazon MCP Server

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.4/5.0

Scored across 5 tools

Disambiguation5/5

Each tool targets a clearly different resource: product details by ASIN, reviews by ASIN, search results by keyword, seller profile by sellerId, and seller catalog by sellerId. There is no meaningful overlap or ambiguity between them.

Naming Consistency5/5

All tool names follow the same structured pattern: hasdata_amazon_<section>_get<Resource>. The consistent snake_case prefix and get-verb naming make the API surface predictable and easy to navigate.

Tool Count5/5

With only 5 tools, the server is tightly scoped to core Amazon data retrieval needs: search, product, reviews, seller, and seller products. Each tool earns its place and the small count avoids bloat.

Completeness4/5

The tool set covers the main Amazon research workflow: discover products via search, fetch product details, pull reviews, and investigate sellers. A browse-category or advanced-filtering tool could be a minor gap, but the core surface is coherent and usable.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources