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storelift-mcp

by vom-core
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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

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct data resource: apps, AI visibility, keyword ranks, rivals, rank history, store listing, reviews, and charts. Even the two ranking-related tools are clearly separated as current vs historical, and get_rivals vs get_charts have unique purposes.

    Naming Consistency5/5

    Seven tools use get_<resource> and one uses list_apps, a natural exception for enumerating all apps. All names are snake_case verb_noun pairs that are consistent and predictable.

    Tool Count5/5

    8 tools is well-scoped for an app store analytics server; each tool covers a distinct measurable signal and none feels redundant. The set is neither too thin nor overloaded.

    Completeness5/5

    The surface covers the core Storelift workflow: enumerate apps, then inspect keyword ranks, history, rivals, store page, reviews, charts, and AI visibility. As a read-only analytics server, the lack of create/update/delete operations is not a gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources