One video → a week of posts

The video already contains the hooks: the sharpest lines someone said out loud. The transcript lets you find them in seconds instead of scrubbing through the timeline.

What you get

  • Seven posts, each built around one real line from the video
  • A thread outline for the main argument
  • Timestamps for each line so you can clip the moment

With an AI assistant

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

Read the transcript of <video URL> with timestamps. Find the 7 sharpest, most quotable lines. For each, write one LinkedIn post and one short X post that open with that line. Include the [m:ss] so I can cut the clip. Then outline a 6-post thread on the video's main argument.

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 transcript with timestamps

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

Limits to know

  • Check each quote against the video before posting; auto captions can drop words.

Tools for this workflow

Questions

Can I get the clips too?

This gives you the exact timestamps; cut the clips in your editor. SRT export gives you captions for those clips as well.

More workflows