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Pangolinfo Amazon Reviews MCP

by Pangolin-spg
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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

    A3.8/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct action on Amazon review data: fetching raw pages, extracting complaints, summarizing ratings, filtering media, and comparing products. There is little risk of selecting the wrong tool for a task.

    Naming Consistency5/5

    All tool names follow a clear lowercase verb_noun pattern with descriptive, specific verbs: get, find, summarize, filter, compare. The naming is consistent and predictable across the entire set.

    Tool Count5/5

    Five tools is well-scoped for an Amazon reviews analysis server. Each tool covers a distinct aspect of the workflow without unnecessary redundancy or bloat.

    Completeness4/5

    The tool set covers core review retrieval, analysis, and comparison workflows well. Minor gaps exist around multi-page aggregation or deeper per-review detail, but agents can accomplish the main review-analysis tasks without dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources