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A tool for extracting video script content

  • Why this server?

    This server extracts and transcribes audio content from videos across 1000+ streaming websites, which is a crucial step in extracting video captions. It supports 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.
    5
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    This server enables interaction with YouTube data, allowing users to search videos and retrieve detailed information. While not directly related to caption extraction, it is helpful for finding the target videos.

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    A server that enables interaction with YouTube data through the Model Context Protocol, allowing users to search videos, retrieve detailed information about videos/channels, and fetch comments.
    12
    6
    JavaScript
  • Why this server?

    While this server seems unrelated on the surface (Quran focused), it indicates the potential for an MCP server to work with audio or video through speech-to-text conversion, which might be a path towards extracting video captions, but needs further investigation.

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    MCP server to interact with Quran.com corpus via the official REST API v4.
    TypeScript
    MIT License
    • Apple
  • Why this server?

    This server provides functionality for downloading, processing, and managing YouTube content, which may include extracting and handling video captions.

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    A server for downloading, processing, and managing YouTube content with features like video quality selection, format conversion, and metadata extraction.
    JavaScript
  • Why this server?

    This server uses yt-dlp to download subtitles from YouTube videos, which directly aligns with the user's need to extract video captions.

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    Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
    1
    868
    201
    JavaScript
    MIT License
    • Apple
  • Why this server?

    While this server focuses on scraping product information, the fact that it uses web scraping techniques indicates potential applicability to extract captions from websites. The script may be used to fetch the video.

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    This MCP scraps vinted for product info. Disclaimer: This script is designed for educational purposes only. It is intended to demonstrate web scraping techniques and should not be used for any commercial or personal gain. Please note that using this software may violate the terms of service of Vint
    98
    Python
    GPL 3.0