Document Processing and YouTube Content Extraction

YouTube Transcripts

Analyze and extract text from video subtitles and captions in various languages.

YouTube

Analyze and interpret subtitles from videos to enhance content comprehension.

YouTube Data

Gain access to an advanced interface that seamlessly connects to the YouTube Data API, enabling in-depth analysis of video content, transcripts, channel performance, and audience engagement metrics. Explore diverse regions and categories, all within the convenience of your conversation platform.

Google Docs

Enhances the connection between Google Docs and artificial intelligence applications, enabling seamless interaction for analyzing, editing, and formatting text in documents.

Fetch (Web Content & YouTube Transcripts)

Discover web content and YouTube video transcriptions effortlessly with the Model Context Protocol (MCP). Easily convert HTML to Markdown format and pinpoint timestamps for convenient reference during discussions.

YouTube Transcript

Enhance content analysis and research workflows by formatting and extracting YouTube video transcripts. Customize language, structure paragraphs, and enrich metadata for optimal insights.

YouTube Transcript

Extract and evaluate the transcripts of videos on YouTube.

Docling

Unlock powerful document processing features by connecting seamlessly with the Docling library. From converting files to markdown and extracting tables to handling images with OCR functionality, this model context protocol streamlines the analysis of diverse document types, organized or random.

Video Digest

Discover a cutting-edge Model Context Protocol (MCP) designed to extract accurate text from various video platforms such as YouTube. Utilizing advanced transcription technology, this protocol ensures precise analysis of video content through seamless integration with multiple transcription services. Experience automatic fallback mechanisms, guaranteeing dependable text extraction from audio sources.

YouTube Downloader

Easily connects with YouTube via yt-dlp for retrieving videos and subtitles to facilitate analysis and processing operations.

YouTube Subtitles

Utilizing YouTube's subtitle retrieval feature, this protocol enhances the ability to extract information from video content based on natural language inquiries.

VideoDB

Enhance VideoDB's video functionality by connecting it to specialized resources for improved search, indexing, subtitling, and video content manipulation within the Model Context Protocol framework.

YouTube DLP

Easily retrieve YouTube video details, multilingual subtitles, and popular comments by leveraging yt-dlp with proxy assistance. Enhance content analysis and accessibility processes effortlessly.

Document Forge

Discover a cutting-edge Model Context Protocol (MCP) that seamlessly merges various document processing tools. Unlock the ability to extract, convert, and edit content in a wide range of file types like PDF, DOCX, HTML, CSV, and EPUB. Gain efficiency and flexibility in managing diverse document formats with this innovative MCP solution.

Web Content Pick

Efficiently gather specific webpage content by customizing selectors for web scraping within the interface, enabling seamless HTML element crawling, parsing, and analysis.