Triggers the next queued tweet or YouTube video for immediate publish on demand, bypassing the autonomous schedule.
MIT
466,711 tools. Updated 2026-08-20 00:38
"How to find or generate YouTube video transcripts" matching MCP tools:
- Retrieve YouTube video transcripts and rich metadata (title, channel, duration). Search captions, list language tracks, and export in text, timestamped, SRT, VTT, or JSON format.MIT
- Retrieve official YouTube video transcripts with per-segment timestamps and language detection. Returns NO_CAPTIONS error if no captions exist, enabling fallback to AI transcription.MIT
- Search YouTube by query, filter by date, duration, type, or sort order, and receive JSON results with video ID, title, channel, duration, views, and upload date.MIT
- Compare a gaming video title or keyword against recent YouTube videos to evaluate demand, competition, and title overlap.MIT
- Populate your content corpus with YouTube channel transcripts for analysis and content idea generation.MIT
Matching MCP Servers
- Flicense-qualityBmaintenanceProvides YouTube video transcripts as structured JSON, including timestamped captions and plain text, through the Apify YouTube Transcripts API. Supports single or batch video URLs across multiple formats.1
- Alicense-qualityCmaintenanceA minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.MIT
Matching MCP Connectors
YouTube transcripts, subtitles, and video metadata as structured JSON via an Apify Actor.
YouTube: YouTube Data API, you can add various YouTube features to your app. Use the API for.
- Extract YouTube video transcripts with timestamps in your preferred language. Use this tool to obtain captions for analysis, translation, or content creation.MIT
- Generate summaries of YouTube videos in multiple languages and formats, extracting key information from video content for quick understanding.MIT
- Extract text transcripts from YouTube videos to analyze and work with video content directly.MIT
- Pre-index all video transcripts from a YouTube channel to speed up semantic searches. Use this optional tool to prepare channel content for faster first searches.MIT
- Lists all available transcripts for a YouTube video, including language codes and auto-generation status. Useful for finding a transcript language when the direct fetch fails.MIT
- Run multiple YouTube searches at once to get broader coverage, with results deduplicated by video ID and metadata only.MIT
- Retrieve YouTube video metadata such as title, channel, duration, view and like counts, chapters, and tags. Optionally include the video description.MIT
- Search YouTube video transcripts using natural language queries. Automatically indexes transcripts for relevant videos before performing semantic similarity search.MIT
- Scrape YouTube video comments, including text, likes, replies, author details, and pagination tokens to fetch more pages.MIT
- Retrieve YouTube video transcripts as plain text using a URL and language code. Falls back to English and lists available languages when the requested one is not found.MIT
- Retrieve a YouTube video's title, description, channel, duration, and keywords without an API key. Use this as the starting point for video analysis before fetching transcripts or frames.MIT
- Fetch detailed metadata for any YouTube video: title, views, likes, description, keywords, channel info, key moments, and chapters. Use the video ID from the video URL.MIT
- Upload a video file to YouTube with specified title, description, tags, category, and privacy settings, including scheduled publishing.MIT
- Retrieve top-level YouTube comments for a video to analyze audience reactions. Requires a video URL and returns structured comment records.MIT