$ loading_
Fetch YouTube subtitles, clean them to plain text, and page transcripts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Custom YouTube Transcribe MCP Server" yet — see the docs or source repo.
Fetch the subtitles for this YouTube link and clean them into plain text: <URL>
Cleaned transcript text is returned
Return this long YouTube transcript in pages so it can be reviewed and searched segment by segment.
Transcript content split into pages
Save the current video's transcript into the session and list the available files/records.
Session transcript records and file list
Researchers or content creators can turn YouTube subtitles into readable text for notes, excerpts, and review. This tool is suited for retrieving transcripts directly from subtitles.
When transcripts are long, users can view them page by page to reduce the cost of reading and searching all at once.
When working on the same set of videos repeatedly, users can store transcripts in a session and keep using them with file management.
It uses yt-dlp to fetch YouTube subtitles and clean them into plain text. It also provides transcript retrieval, file management, and session-based storage with paging.
You need access to YouTube, and the server depends on yt-dlp. The excerpt does not provide more setup details; see the source repository.
Beyond fetching subtitle text, it emphasizes plain-text cleanup, file management, and paged session storage, making it better for ongoing processing and retrieval.
Fetch YouTube video transcripts for search, analysis, and content workflows.
Extract YouTube video transcripts for search, analysis, repurposing, and note-taking.
Fetch and extract YouTube transcripts for AI-powered video analysis.
Fetch and transcribe YouTube subtitles for multilingual LLM analysis and chat.
Fetch YouTube transcripts with timestamps for AI-powered search, analysis, and quoting.
Fetch YouTube transcripts and metadata in multiple timed caption formats.