YT-NINJA 🥷

A comprehensive YouTube MCP (Model Context Protocol) server that provides AI-powered video analysis, playback control, transcript management, and advanced content processing capabilities.

Features

🎬 Video Playback

• Play videos in browser or VLC player

• Audio-only playback with ffplay

• Video segment playback with timestamp control

• Active playback session management

📊 Data Retrieval

• Get detailed video information (title, views, likes, duration, etc.)

• Fetch playlist details with all videos

• Retrieve channel information and statistics

• Search YouTube videos and music

• Download video thumbnails in multiple qualities

📝 Transcript Management

• Get official video transcripts

• AI-powered transcript generation (when official unavailable)

• Translate transcripts to any language

• Format transcripts with or without timestamps

🤖 AI-Powered Analysis

• Generate video summaries with key points

• Auto-generate chapter markers

• Extract relevant keywords with relevance scores

• Detect topics and categories

• Create AI-powered video highlights

Installation

Prerequisites

• Node.js >= 18.0.0

• npm >= 9.0.0

• Google Gemini API key (required for AI features)

• Optional: VLC Media Player (for VLC playback)

• Optional: FFmpeg (for audio playback and processing)

Setup

1. Clone the repository:

2. Install dependencies:

3. Configure environment variables:

Edit .env and add your configuration:

4. Build the project:

Configuration

Environment Variables

Getting a Gemini API Key

1. Visit Google AI Studio

2. Sign in with your Google account

3. Click "Create API Key"

4. Copy the key and add it to your .env file

MCP Configuration

Add to your MCP settings file (mcp.json):

Available Tools

Playback Tools

play_youtube_video

Play a YouTube video in browser or VLC player.

Parameters:

• url (string, required): YouTube video URL

• player (string, optional): Player type - browser or vlc (default: browser)

Example:

Data Retrieval Tools

get_video_info

Get comprehensive information about a YouTube video.

Parameters:

• url (string, required): YouTube video URL

Returns: Video title, description, channel, views, likes, duration, tags, thumbnail, etc.

get_playlist_info

Get information about a YouTube playlist.

Parameters:

• url (string, required): YouTube playlist URL

Returns: Playlist title, description, video count, total duration, list of videos

get_channel_info

Get information about a YouTube channel.

Parameters:

• channelId (string, required): Channel ID or URL

Returns: Channel name, description, subscriber count, total views, video count

search_youtube

Search for videos on YouTube.

Parameters:

• query (string, required): Search query

• maxResults (number, optional): Maximum results (1-50, default: 10)

Returns: Array of search results with video details

search_music

Search specifically for music on YouTube.

Parameters:

• query (string, required): Music search query

• maxResults (number, optional): Maximum results (1-50, default: 10)

Returns: Array of music search results

download_thumbnail

Download a video thumbnail image.

Parameters:

• url (string, required): YouTube video URL

• outputPath (string, optional): Output file path

• quality (string, optional): Quality - maxres, high, medium, default (default: maxres)

Transcript Tools

get_transcript

Get the transcript/subtitles of a video.

Parameters:

• url (string, required): YouTube video URL

• language (string, optional): Language code (e.g., 'en', 'es', 'fr')

Returns: Transcript text, language, timestamps, source type

translate_transcript

Translate a video transcript to another language.

Parameters:

• url (string, required): YouTube video URL

• targetLanguage (string, required): Target language code

Returns: Translated transcript with original timestamps

AI Analysis Tools

summarize_video

Generate an AI-powered summary of a video.

Parameters:

• url (string, required): YouTube video URL

• maxWords (number, optional): Maximum words in summary (default: 200)

Returns: Summary text, key points, word count

generate_chapters

Auto-generate chapter markers for a video.

Parameters:

• url (string, required): YouTube video URL

Returns: Array of chapters with timestamps, titles, and descriptions

get_keywords

Extract relevant keywords from a video.

Parameters:

• url (string, required): YouTube video URL

• count (number, optional): Number of keywords (default: 15)

Returns: Array of keywords with relevance scores and frequency

detect_topics

Detect topics and categories in a video.

Parameters:

• url (string, required): YouTube video URL

Returns: Array of topics with confidence scores and categories

generate_video_highlights

Generate AI-powered video highlights.

Parameters:

• url (string, required): YouTube video URL

• count (number, optional): Number of highlights (5-10, default: 7)

Returns: Array of highlight moments with timestamps, descriptions, reasons, and scores

Usage Examples

Using with\

AI

Once configured as an MCP server, you can use YT-NINJA through natural language:

Programmatic Usage

Development

Scripts

• npm run dev - Run in development mode with hot reload

• npm run build - Build for production

• npm start - Start the production server

• npm run lint - Lint code

• npm run format - Format code with Prettier

• npm run type-check - Check TypeScript types

Project Structure

Error Handling

YT-NINJA provides detailed error messages with suggestions: