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OP3 MCP

by thenavidm
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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

    A4.1/5.0

    Scored across 22 tools

    Disambiguation5/5

    Each tool targets a distinct analytical dimension (downloads, unique listeners, geography, apps, devices, retention, overlap, raw rows), and the descriptions explicitly say when to prefer one over another. The few superficially similar tools (op3_show_downloads vs op3_query_downloads vs op3_episode_downloads, or op3_app_share vs op3_benchmark_apps vs op3_global_app_share) are clearly differentiated by scope and intent.

    Naming Consistency5/5

    All 22 tools use a consistent snake_case verb_noun pattern uniformly prefixed with op3_. No camelCase, no mixed conventions, and the names read predictably.

    Tool Count4/5

    22 tools is on the heavier side but justified by a genuinely broad analytics domain spanning downloads, listeners, geography, apps, devices, retention, and raw verification surfaces. Each tool earns its place rather than being redundant.

    Completeness5/5

    The surface covers the full analytic lifecycle: identifier resolution, show/episode metadata, aggregate metrics, audience composition, breakdowns, trends, cohort retention, raw escape hatches, and a diagnostic verification tool. No obvious dead ends for the stated podcast-analytics purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources