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youtube-music-mcp

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    • yt-music-mcp

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    • ytmusic-mcp

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      Enables natural-language management of a YouTube Music account, including playlist creation and editing, song search, ratings, and library organization through a local MCP server.
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    • youtube-music-mcp

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    • YouTube MCP Server

      CreatorGeetansh
      A
      license
      Not graded
      quality
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      maintenance
      Enables MCP clients to search and read YouTube data and safely manage playlists, including creating private playlists from ranked song matches with preview-before-commit playlist mutations.
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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

    A3.6/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: authentication status, listing liked songs, listing playlists, fetching a specific playlist, searching, summarizing, and exporting. There is no meaningful overlap; even similar-sounding tools like list_liked_songs and summarize_liked_library serve different functions (enumeration vs. aggregation).

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (list_, get_, search_, summarize_, export_). The exception is auth_status, which lacks a verb and disrupts the otherwise uniform style. This minor deviation prevents a perfect score but the pattern is still highly readable.

    Tool Count5/5

    Seven tools is well within the ideal range for a library-oriented MCP server. Each tool addresses a core function (authentication, listing, searching, exporting, summarizing) without redundancy or bloat. The count feels appropriately scoped for the server's purpose.

    Completeness5/5

    The server covers the full lifecycle of interacting with a user's YouTube Music library: authenticate, list liked songs, list playlists, fetch playlist contents, search, summarize, and export. There are no obvious dead ends for typical workflows like browsing, analyzing, or exporting favorites. Minor operations like adding/removing likes are outside the apparent scope, so no gaps are evident.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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