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qualityMCP Server for AI Summarization, Support for multiple content types:
* Plain text
* Web pages
* PDF documents
* EPUB books
* HTML content
Last updated -
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JavaScript
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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.
Why this server?
Extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter.
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.
Why this server?
Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name.
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.
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.
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.
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/).
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
Why this server?
An MCP server that enables communication with users through Telegram. This server provides a tool to ask questions to users and receive their responses via a Telegram bot. It can be helpful if you want the result of the summarization sent to you.