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mohamdben-yahia

YouTube MCP Server

by mohamdben-yahia
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Python
Hybrid

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    • YouTube MCP Server

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      F
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      quality
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      Enables AI assistants to search videos, retrieve transcripts and metadata, analyze channels, and access trending and engagement analytics for YouTube content.
      20 npm
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    • mcp-server-youtube

      vaporif
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to search videos, read channels, browse playlists, fetch comments, and get transcripts from YouTube using the YouTube Data API v3 and InnerTube API for captions.
      2
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    • youtube-mcp

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      license
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      D
      maintenance
      Enables AI tools to access YouTube content, including transcript extraction, video/channel info, and search.
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    • YouTube Content Management MCP

      NastyRunner13
      A
      license
      Not graded
      quality
      F
      maintenance
      Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.
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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 33 tools

    Disambiguation2/5

    Many tools occupy overlapping conceptual territory: audit_channel_strategy and reverse_engineer_channel both deconstruct the same channel metrics, hooks, monetization, and comments, while scout_niche_channels, find_breakout_growth_channels, find_viral_outliers, and find_content_gaps all target channel/niche opportunity discovery. Descriptions help, but the boundaries are blurred enough that an agent could regularly misselect.

    Naming Consistency5/5

    All tool names consistently follow a snake_case verb_noun pattern with no mingled conventions. Even where verbs are broad, the naming style is predictable and readable.

    Tool Count2/5

    33 tools is excessive for a coherent server, especially given the number of overlapping strategy/analysis tools. Many could be consolidated into fewer composite research or optimization tools without losing real capability.

    Completeness4/5

    For a creator-research and content-strategy server, the coverage is strong: retrieval, transcripts, comments, channel audits, trend discovery, ideation, SEO metadata, and monetization planning are all represented. It lacks write/management operations like uploading or moderating content, but those appear out of scope for this toolset.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources