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Suriya-Ravichandran

Amazon India Product Research MCP

by Suriya-Ravichandran
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    TDQS

    A3.7/5.0

    Scored across 24 tools

    Disambiguation3/5

    Several tools have overlapping responsibilities, such as analyze_competition vs analyze_competitors vs analyze_review_metrics, and scrape_amazon_product vs scrape_listing_details. However, detailed descriptions clarify their distinct focuses, reducing but not eliminating ambiguity.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with lowercase and underscores (e.g., analyze_product_demand, calculate_profitability, scrape_amazon_search). Minor plural/singular variants like analyze_competition vs analyze_competitors do not break the overall predictable scheme.

    Tool Count4/5

    With 24 tools, the server is comprehensive but slightly heavy. Each tool addresses a distinct aspect of product research, and the count is justified by the breadth of the domain, though it approaches the upper boundary of ideal scope.

    Completeness5/5

    The server covers the full product research lifecycle: demand analysis, competition, profitability, keyword research, listing creation, PPC planning, scraping, review analysis, and launch planning. It also includes a health check (scraper_status) and no critical gaps are evident for its stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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