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youtube-studio-mcp

by Dhananjayrbiraris
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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

    A3.9/5.0

    Scored across 8 tools

    Disambiguation3/5

    There are several analytics tools with overlapping parameters and outputs: get_channel_analytics can group by day, which overlaps with get_analytics_by_dimension, and get_top_performing_videos overlaps with list_channel_videos in returning video statistics. However, each tool's detailed description clarifies the intended focus (summary vs dimension vs ranked list), so agents can generally disambiguate.

    Naming Consistency4/5

    All tools use snake_case and nearly all start with get_, with list_channel_videos as the only list_ exception. The pattern is easily predictable, though get_top_performing_videos and get_analytics_by_dimension are phrase-style names rather than clean verb_noun resource names.

    Tool Count5/5

    Eight tools is a well-scoped size for a YouTube Studio analytics server; each tool covers a distinct reporting need without redundancy or bloat. This is within the ideal range and doesn't overwhelm an agent.

    Completeness4/5

    The toolset provides solid read-only coverage of channel analytics, video metadata/performance, and comments, supporting common creator reporting workflows. Notable gaps exist for video-level dimension breakdowns beyond traffic source and any management actions, but given the analytics-focused descriptions, these are minor.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources