A
licenseNot graded
qualityB
maintenanceEnables Amazon sellers and researchers to retrieve sales estimates for ASINs, search the Amazon product database by keyword or category, and access keyword search volume and ranking data.
167 npm
MIT
AMZScout Skill + MCP
Server Details
Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
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- Status
- Unhealthy
- Uptime
- 0.0% over the last 24 hours
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- amzscout-corp/amzscout-skill-mcp
- GitHub Stars
- 1
- Server Listing
- AMZScout Skill + MCP
- ChatGPT
- –
- Claude
- AMZScout Skill + MCP
TDQS
A4.3/5.0
Scored across 14 tools
Disambiguation4/5
The descriptions do heavy lifting to separate near-neighbors: analyze_product (numbers) vs advanced_product_data (listing facts), analyze_niche vs search_products (aggregates vs raw rows), and analyze_product vs reseller_amazon (private-label vs reseller). The analysis family (analyze_niche, search_products, analyze_product_set, compare_niches) is large and thematically overlapping, but each is scoped by cardinality (single/multi) and output type, so boundaries are mostly clear.
Naming Consistency4/5
All tools share the amzscout_ prefix and a largely verb_noun pattern (analyze_product, compare_niches, get_keywords, search_products). A few entries are noun-only (advanced_product_data, reseller_amazon, usage), which are minor deviations but still predictable.
Tool Count5/5
14 tools sit in the well-scoped range for an Amazon-seller research suite, and each tool maps to a distinct resource or operation. No redundant or filler tools are apparent.
Completeness4/5
The surface covers product/niche analysis, comparison, keyword/SEO/PPC, brand lookup, reseller buy-box data, marketplace location, knowledge search, tool recommendation, and usage—broad lifecycle coverage for a read-only research domain. Minor gaps like explicit profit/fee calculation or bulk export are workable around via the returned data and reasoning.
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