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⇱ How to find or generate YouTube video transcripts | Glama

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How to find or generate YouTube video transcripts

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  • Why this server?

    This server uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol, perfectly aligning with the request for YouTube transcripts.

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    Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
    Last updated
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    MIT

  • Why this server?

    This server enables AI language models to interact with YouTube content, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

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    Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.
    Last updated
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    MIT

  • Why this server?

    A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.

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    A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.
    Last updated
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    MIT

  • Why this server?

    A Model Context Protocol server that provides retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.

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    A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.
    Last updated
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  • Why this server?

    Allows Large Language Models to retrieve and reference Jewish texts through a standardized interface, which could be useful for research related to YouTube transcripts.

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    A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.
    Last updated
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  • Why this server?

    Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.

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    Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.
    Last updated
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  • Why this server?

    A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers.

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    A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.
    Last updated
    28
    MIT

  • Why this server?

    Simple MCP server that returns the transcription of a Youtube video using url and desired language.

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    Simple MCP server that returns the transcription of a Youtube video using url and desired language.
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  • Why this server?

    An MCP server that generates structured notes from Bilibili videos by automatically downloading audio, transcribing with Whisper, and processing through LLM, similar to getting YouTube transcripts.

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    An MCP server that generates structured notes from Bilibili videos by automatically downloading audio, transcribing with Whisper, and processing through LLM.
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