rtzll
MCP Serverrtzllpublic

tldw

youtube transcript and summary via CLI and MCP

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BSD 3-Clause "New" or "Revised" License
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About This Server

youtube transcript and summary via CLI and MCP

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

tldw - too long; didn't watch

Transform YouTube videos and playlists into concise summaries using AI. Works with existing captions (free) or Whisper transcription (paid). Includes MCP server for Claude and other AI assistants and CLI.

Installation

brew install rtzll/tap/tldw
export OPENAI_API_KEY="your-api-key-here"  # optional: for AI summaries & Whisper

MCP

tldw mcp provides AI assistants with:

  • get_youtube_metadata: Video or playlist metadata and captions status
  • get_youtube_transcript: Free captions transcript (supports playlists)
  • transcribe_youtube_whisper: Paid Whisper transcription (supports playlists)

Claude Desktop Setup

Easy setup:

tldw mcp setup-claude

This automatically configures Claude Desktop to use tldw. Restart Claude Desktop afterward.

After setup, ask Claude: "tldw: https://youtu.be/tAP1eZYEuKA"

!Claude using tldw via MCP

ChatGPT Desktop (not yet)

ChatGPT Desktop will support MCP servers in the coming months.

CLI

Usage Examples

Single Videos

# Get transcript (free with captions)
tldw transcribe "https://youtu.be/tAP1eZYEuKA"
tldw transcribe tAP1eZYEuKA -o transcript.txt  # Save to file
tldw transcribe tAP1eZYEuKA --fallback-whisper # Use Whisper if video has no captions

# Generate summary (requires API key)
tldw "https://youtu.be/tAP1eZYEuKA"
tldw tAP1eZYEuKA -m gpt-4o-mini -p "tldr: {{.Transcript}}"

# Get video metadata
tldw metadata "https://youtu.be/tAP1eZYEuKA"
tldw metadata tAP1eZYEuKA -o metadata.json   # Save to file
tldw metadata tAP1eZYEuKA --pretty           # Format JSON output

Playlists

# Summarize entire playlist
tldw "https://youtube.com/playlist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq"
tldw "https://youtu.be/tAP1eZYEuKA?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq" # Video from playlist

# Get playlist transcripts
tldw transcribe "https://youtube.com/playlist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq"
tldw transcribe "https://youtube.com/playlist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq" --fallback-whisper

# Get playlist metadata
tldw metadata "https://youtube.com/playlist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq"

Note: Playlist processing shows progress and allows per-video Whisper confirmation for videos without captions.

Example Output

Summaries are shown as markdown and rendered in the terminal.

!CLI usage of tldw

Configuration

Either edit the config file or use environment variables.

Config file

Find your config location:

tldw paths  # Shows config, data, and cache directories

Edit config file: config.toml

openai_api_key = "your-key"
tldr_model = "gpt-5-nano"
prompt = "tldr: {{.Transcript}}"

or edit the prompt.txt file in the config directory to change the default summary prompt.

Environment variables

export OPENAI_API_KEY="your-key"
export TLDW_TLDR_MODEL="gpt-5-nano"
export TLDW_PROMPT="tldr: {{.Transcript}}"

Quick Start

1

Clone the repository

git clone https://github.com/rtzll/tldw
2

Install dependencies

cd tldw
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerrtzll
Repotldw
LanguageGo
LicenseBSD 3-Clause "New" or "Revised" License
Last fetched8/10/2025

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