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oxilytics-mcp

Official
by oxisoft
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Python
Remote

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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 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: overview summarizes overall state, list_apps and list_products enumerate entities, metrics provides totals, timeseries gives time-bucketed data, top_countries ranks by country, reviews returns user feedback, and sync_runs/sync_run_log cover data collection. Even the overlapping filter-heavy tools (metrics, timeseries, top_countries) are unambiguously differentiated by their output shape and descriptions.

    Naming Consistency4/5

    All tool names use snake_case and are concise, but they mix conventions: list_apps and list_products use verb_noun, while others are bare nouns (metrics, timeseries, reviews) or compound nouns (top_countries, sync_run_log). The style is internally consistent and readable, but not strictly uniform.

    Tool Count5/5

    With 9 tools, the server is well-scoped for a read-only analytics and monitoring domain. Each tool serves a distinct analytical or operational need, and none feel redundant or superficial. This is squarely within the ideal 3–15 range.

    Completeness5/5

    The tool surface covers the full lifecycle of the server's purpose: high-level health (overview), entity discovery (list_apps, list_products), data analysis (metrics, timeseries, top_countries), qualitative feedback (reviews), and operational diagnostics (sync_runs, sync_run_log). There are no obvious gaps for a read-only analytics tool—write operations are intentionally out of scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources