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youtube-studio-mcp

by ujorgeleite
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Python
Local

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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

    A3.9/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct resource or analytical view: channel overview, channel analytics, video list, retention curve, and pillar aggregation. Even the two channel-level tools are clearly separated by cached current stats vs. date-range analytics.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern: get_ for single retrievals, list_ for collections, and analyze_ for derived analysis. All names use snake_case and clearly communicate their action.

    Tool Count5/5

    Five tools is a well-scoped size for an analytics-focused YouTube Studio server. Each tool serves a distinct part of the workflow without unnecessary redundancy or sprawl.

    Completeness3/5

    The set covers channel-level stats, video listing, retention, and pillar analysis, but there are notable gaps such as per-video performance metrics, video metadata updates, and any management actions. It works well for read-only analytics but is not a complete YouTube Studio surface.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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