Retrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.
Enables fetching, searching, and analyzing YouTube video transcripts in multiple languages using yt-dlp. Supports timestamp filtering, language detection, and transcript summaries with robust error handling for production use.
Enables AI assistants to fetch and analyze transcripts from YouTube videos using video IDs or URLs, with support for multiple language preferences.
YouTube is a video-sharing platform with user-generated content, live streaming, and monetization opportunities, widely used for marketing, education, and entertainment
- 安装状态
- 已补齐
命令预览
npx -y smithery mcp add youtube
Enables AI assistants to analyze and summarize YouTube videos by extracting captions, subtitles, and comprehensive metadata including title, description, and duration in multiple languages.
An MCP server that provides YouTube data access without API keys or quotas. It enables agents to search videos, retrieve transcripts and metadata, and perform full-text search across cached content for AI context retrieval.
An MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.
Analyzes YouTube videos using Google's Gemini API, allowing users to get summaries or ask questions about video content via direct URL input.
An MCP server designed to fetch transcripts for YouTube videos. It enables AI tools to access video text content for tasks like summarization, analysis, and key takeaway extraction.
Enables transcription of YouTube videos in multiple languages through an MCP server interface.
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My first MCP server\ \ Settings\ \ /Users/yusuke/Library/Application\\\\ Support/Claude/claude desktop config.json :\ \ \ \ Author\ \ Yusuke Wada\ \ License\ \ MIT
An MCP server that extracts clean, structured Markdown content from web page URLs using the WebforAI library. It simplifies feeding web content into AI models by removing HTML noise and intelligently processing tables and links.
A fully functional MCP server and CLI for YouTube to automate YouTube operation.
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