Scrape Google's Short Videos carousel to discover TikTok, YouTube Shorts, and Instagram Reels. Retrieve video title, thumbnail, duration, source, channel, publish date, and URL for content analysis and trend monitoring.
MIT
127,235 tools. Last updated 2026-05-05 11:43
"Using YouTube to obtain and summarize video content" matching MCP tools:
- Add a video to an existing YouTube playlist by providing the playlist ID and video ID (both YouTube IDs, not URLs).
- Retrieve and analyze YouTube video comments with sorting options, result limits, and reply fetching to gather audience feedback and insights.
- Convert YouTube videos to markdown format with transcripts for easy documentation and content creation.
- Retrieve available transcript languages for any YouTube video to enable multi-language accessibility and content analysis.MIT
- Discover related YouTube videos and playlists for any video, with pagination support to browse additional content beyond initial results.MIT
Matching MCP Servers
- AlicenseBqualityCmaintenanceMCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.Last updated2832MIT
- Alicense-qualityCmaintenanceEnables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.Last updated1MIT
Matching MCP Connectors
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
YouTube MCP — wraps the YouTube Data API v3 (BYO API key)
- Extract video IDs and titles from YouTube playlists to enable batch analysis and research workflows.MIT
- Retrieve timestamped transcripts or captions from YouTube videos using video ID, with optional language selection for accurate subtitles.ISC
- Extract YouTube video metadata including title, description, view counts, duration, tags, and channel information directly from video URLs for research and analysis purposes.MIT
- Translate YouTube video subtitles to different languages, convert them to various formats like SRT, and download them for offline use.MIT
- Browse available YouTube video themes with pre-configured color palettes, typography, and motion design for tech, finance, education, gaming, and other content types.Apache 2.0
- Retrieve available YouTube video categories by region code to organize content and target specific audiences effectively.MIT
- Extract YouTube video metadata and transcripts with options for timestamps, time filtering, transcript search, and key segment extraction to summarize content or locate specific moments.MIT
- Fetch YouTube video transcripts with options for language selection, timestamp filtering, and formatting preservation to extract text content for analysis or accessibility.MIT
- Extract timestamped key moments from video transcripts to quickly navigate and summarize important segments. Analyze YouTube videos by providing the video ID and optional max moments count for structured output.ISC
- Extract YouTube video transcripts in multiple languages and formats for analysis, translation, or content creation.MIT
- Summarize content from any URL, choosing between paragraph summary or bulleted takeaways, with optional language targeting.MIT
- Upload video files to YouTube with customizable metadata including title, description, tags, category, and privacy settings.MIT
- Search YouTube for videos by query, with options to filter by type (video, channel, playlist) and sort by relevance, date, view count, or rating. Returns title, description, channel name, thumbnail, and video URL for tutorials, demos, and educational content.
- Find specific keywords or phrases within YouTube video transcripts and retrieve matching segments with timestamps for targeted content review.MIT