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⇱ A server for summarizing content and extracting summaries from videos | Glama

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A server for summarizing content and extracting summaries from videos

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  • Why this server?

    This server is designed for AI Summarization, and it supports multiple content types including web pages and PDF documents.

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    MCP Server for AI Summarization, Support for multiple content types: * Plain text * Web pages * PDF documents * EPUB books * HTML content
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  • Why this server?

    Extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter.

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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
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    MIT

  • Why this server?

    A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease. It can fetch the content for the summarizer.

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    A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.
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  • Why this server?

    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name.

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    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
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  • Why this server?

    A Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support, a key component of video summarization.

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    A Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support.
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  • Why this server?

    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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    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.
    Last updated
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    1,058
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    MIT

  • Why this server?

    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, 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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    MIT

  • Why this server?

    Provides functionality to search [YouTube](https://www.youtube.com/) videos and automatically save the results to [Google Sheets](https://workspace.google.com/products/sheets/).

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

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

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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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    MIT