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Создание обзоров серверов для аудитории СНГ на YouTube

  • Why this server?

    Allows retrieving transcripts from YouTube videos, which can be translated and used for creating content accessible to a broader, including the target audience.

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    A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.
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    JavaScript
    MIT License
  • Why this server?

    Connects yt-dlp with LLMs to download YouTube content. This would allow downloading videos, which would be beneficial for showcasing content creation or educational material.

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    Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
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    JavaScript
    MIT License
    • Apple
  • Why this server?

    Searches YouTube videos and saves the results to Google Sheets, helpful for curating video lists or doing research on specific topics for content ideas.

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    Provides functionality to search YouTube videos and automatically save the results to Google Sheets.
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    JavaScript
    MIT License
  • Why this server?

    Provides general YouTube support as an MCP server.

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    A Model-Context Protocol Server for YouTube in Jp
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    44
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    Enables AI to work with YouTube content, by retrieving channel information, managing transcripts, and handling playlists.

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    This server allows AI language models to interact with YouTube content through a standardized interface, providing features such as video and channel information retrieval, transcript management, and playlist operations.
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    TypeScript
    • Linux
    • Apple
  • Why this server?

    Integrates APIs from Youtube-Summarizer, useful for creating summaries of YouTube content that may be useful for users in the target region.

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    The MCP Server integrates APIs from the Youtube-Summarizer as tools within the MCP protocol, allowing for local AI application interaction and tool utilization through natural language queries.
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  • Why this server?

    Enables control of YouTube Music playback, potentially useful to explore music content popular in the target region.

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    An MCP server that allows AI models to control YouTube Music playback through Google Chrome by searching and playing songs using song and artist names.
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    JavaScript
    MIT License
    • Apple
  • Why this server?

    Retrieves transcripts for YouTube videos, allowing for translations and adaptations to be created for your target audience.

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    This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.
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    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    While not directly YouTube related, Zoom transcripts could be repurposed into video content, making it relevant for content creation targeting the mentioned user group.

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    An MCP server that enables users to list, download, search, and manage Zoom meeting transcripts through a structured interface.
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    JavaScript
    MIT License
  • Why this server?

    Enables downloading and parsing Substack posts. This can be helpful to access and summarize information on topics relevant to the target audience.

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    A Model Context Protocol server that enables downloading and parsing Substack posts directly through the Claude desktop app, allowing users to access and summarize Substack content.
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    JavaScript
    • Apple