Episode → show notes & chapters

Show notes written from memory miss half the episode, and chapters guessed from the timeline land in the wrong place. With a timed transcript, both come from what was actually said and when.

What you get

  • YouTube chapters (00:00 Intro …) at the real topic changes
  • Show notes with a summary, guest quotes and links mentioned
  • A description that matches the episode

With an AI assistant

Connect the MCP server to Claude, ChatGPT or Cursor, then paste:

Read the transcript of <episode URL> with timestamps. Write YouTube chapters starting at 00:00, one per real topic change, with short titles. Then write show notes: a 3-sentence summary, 5 key takeaways, 3 verbatim guest quotes with timestamps, and every book, tool or link mentioned.

With the API

Set GYT_API_KEY to a key from the developers page. Each transcript or list page costs one credit; checking a channel's latest uploads is free.

  1. 1. Get the episode with per-line timestamps

    curl -s -H "Authorization: Bearer $GYT_API_KEY" \
      "https://getyoutubetranscript.com/api/v1/transcript?v=VIDEO_ID&timestamps=true"

Limits to know

  • YouTube needs at least three chapters, the first at 00:00, each at least 10 seconds long.

Tools for this workflow

Questions

Does it work before the episode is public?

Only public or unlisted videos with captions can be read. Upload as unlisted, let captions generate, then run it.

More workflows