🎬 YouTube Transcript DL MCP Server

A comprehensive MCP (Model Context Protocol) server for extracting YouTube video transcripts with support for multiple transports (stdio, SSE, HTTP), Docker deployment, and npm package distribution.

✨ Features

• 🎯 Multiple Transport Support: stdio, Server-Sent Events (SSE), and HTTP
• 📹 Comprehensive Transcript Extraction: Single videos, bulk processing, and playlists
• 🌍 Multi-language Support: Extract transcripts in different languages
• 📝 Multiple Output Formats: Text, JSON, and SRT subtitle formats
• 🚀 High Performance: Built-in caching and rate limiting
• 🐳 Docker Ready: Full containerization support
• 📦 npm Package: Easy installation and distribution
• 🧪 Test-Driven Development: Comprehensive test suite with 90%+ coverage
• 🔧 TypeScript: Full type safety and modern JavaScript features

📦 Installation

🔧 As an npm package

npm install -g yt-transcript-dl-mcp

🛠️ From source

git clone <repository-url>
cd yt-transcript-dl-repo
npm install
npm run build

🐳 Docker

# From GitHub Container Registry (recommended)
docker pull ghcr.io/jedarden/yt-transcript-dl-mcp:latest
docker run -p 3001:3001 -p 3002:3002 ghcr.io/jedarden/yt-transcript-dl-mcp:latest --multi-transport

# Build from source
docker build -t yt-transcript-dl-mcp .
docker run -p 3001:3001 -p 3002:3002 yt-transcript-dl-mcp --multi-transport

🚀 Usage

🖥️ MCP Server

Start the MCP server in different modes:

# Stdio mode (default)
yt-transcript-dl-mcp start

# SSE mode
yt-transcript-dl-mcp start --transport sse --port 3000

# HTTP mode
yt-transcript-dl-mcp start --transport http --port 3000

# With verbose logging
yt-transcript-dl-mcp start --verbose

💻 CLI Tool

Test the server with a sample video:

# Test with a YouTube video
yt-transcript-dl-mcp test dQw4w9WgXcQ

# Test with different language
yt-transcript-dl-mcp test dQw4w9WgXcQ --language es

# Test with different format
yt-transcript-dl-mcp test dQw4w9WgXcQ --format srt

🔧 Programmatic Usage

import { YouTubeTranscriptService } from 'yt-transcript-dl-mcp';

const service = new YouTubeTranscriptService();

// Extract single video transcript
const result = await service.getTranscript('dQw4w9WgXcQ', 'en', 'json');
console.log(result);

// Bulk processing
const bulkResult = await service.getBulkTranscripts({
  videoIds: ['dQw4w9WgXcQ', 'jNQXAC9IVRw'],
  outputFormat: 'json',
  language: 'en'
});
console.log(bulkResult);

🛠️ MCP Tools

The server provides the following MCP tools:

get_transcript

Extract transcript from a single YouTube video.

Parameters:

• videoId (required): YouTube video ID or URL
• language (optional): Language code (default: 'en')
• format (optional): Output format - 'text', 'json', or 'srt' (default: 'json')

get_bulk_transcripts

Extract transcripts from multiple YouTube videos.

Parameters:

• videoIds (required): Array of YouTube video IDs or URLs
• language (optional): Language code (default: 'en')
• outputFormat (optional): Output format - 'text', 'json', or 'srt' (default: 'json')
• includeMetadata (optional): Include metadata in response (default: true)

get_playlist_transcripts

Extract transcripts from all videos in a YouTube playlist.

Parameters:

• playlistId (required): YouTube playlist ID or URL
• language (optional): Language code (default: 'en')
• outputFormat (optional): Output format - 'text', 'json', or 'srt' (default: 'json')
• includeMetadata (optional): Include metadata in response (default: true)

format_transcript

Format existing transcript data into different formats.

Parameters:

• transcript (required): Transcript data array
• format (required): Output format - 'text', 'json', or 'srt'

get_cache_stats

Get cache statistics and performance metrics.

clear_cache

Clear the transcript cache.

⚙️ Configuration

🌍 Environment Variables

# Server configuration
PORT=3000
HOST=0.0.0.0
MCP_TRANSPORT=stdio

# CORS settings
CORS_ENABLED=true
CORS_ORIGINS=*

# Rate limiting
RATE_LIMIT_WINDOW=900000  # 15 minutes in ms
RATE_LIMIT_MAX=100

# Caching
CACHE_ENABLED=true
CACHE_TTL=3600  # 1 hour in seconds
CACHE_MAX_SIZE=1000

# Logging
LOG_LEVEL=info
LOG_FORMAT=simple

📝 Configuration File

Create a config.json file:

{
  "port": 3000,
  "host": "0.0.0.0",
  "cors": {
    "enabled": true,
    "origins": ["*"]
  },
  "rateLimit": {
    "windowMs": 900000,
    "max": 100
  },
  "cache": {
    "enabled": true,
    "ttl": 3600,
    "maxSize": 1000
  },
  "logging": {
    "level": "info",
    "format": "simple"
  }
}

🐳 Docker Deployment

🐙 Docker Compose

version: '3.8'

services:
  yt-transcript-mcp:
    build: .
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - PORT=3000
      - LOG_LEVEL=info
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "node", "dist/health-check.js"]
      interval: 30s
      timeout: 10s
      retries: 3

Health Checks

The Docker container includes built-in health checks:

# Check container health
docker ps
docker exec <container-id> node dist/health-check.js

Development

Setup

git clone <repository-url>
cd yt-transcript-dl-repo
npm install

Running Tests

# Run all tests
npm test

# Run tests with coverage
npm run test:coverage

# Run specific test suites
npm run test:unit
npm run test:integration
npm run test:e2e

# Watch mode
npm run test:watch

Building

# Build TypeScript
npm run build

# Development mode with watch
npm run dev

# Linting
npm run lint
npm run lint:fix

Testing the MCP Server

# Test stdio transport
./scripts/test-stdio.sh

# Test with sample video
npm run test:sample

API Documentation

Response Format

All transcript responses follow this structure:

interface TranscriptResponse {
  videoId: string;
  title?: string;
  language: string;
  transcript: TranscriptItem[];
  metadata?: {
    extractedAt: string;
    source: string;
    duration?: number;
    error?: string;
  };
}

interface TranscriptItem {
  text: string;
  start: number;
  duration: number;
}

Error Handling

The server handles various error scenarios:

• Video not found: Returns empty transcript with error in metadata
• Private videos: Graceful error handling with descriptive messages
• Rate limiting: Built-in delays and retry logic
• Network errors: Automatic retries with exponential backoff

Performance

Benchmarks

• Single video extraction: < 5 seconds
• Bulk processing: < 2 seconds per video
• Concurrent requests: 90%+ success rate for 10 concurrent requests
• Memory usage: < 512MB under normal load
• Cache hit ratio: 70%+ for repeated requests

Optimization

• LRU Cache: Configurable TTL and size limits
• Rate Limiting: Prevents API abuse
• Concurrent Processing: Optimized for bulk operations
• Memory Management: Efficient garbage collection

Troubleshooting

Common Issues

1. Video not found: Check if video is public and has captions
2. Rate limiting: Reduce concurrent requests or increase delays
3. Memory issues: Reduce cache size or clear cache regularly
4. Network errors: Check internet connection and firewall settings

Debug Mode

Enable debug logging:

export LOG_LEVEL=debug
yt-transcript-dl-mcp start --verbose

Logs

Check logs in the logs/ directory:

tail -f logs/combined.log
tail -f logs/error.log

Contributing

1. Fork the repository
2. Create a feature branch
3. Write tests for new functionality
4. Ensure all tests pass
5. Submit a pull request

Code Style

• Use TypeScript for all code
• Follow ESLint configuration
• Write comprehensive tests
• Add JSDoc comments for public APIs
• Use conventional commit messages

License

MIT License - see LICENSE file for details.

Support

• GitHub Issues: Report bugs and feature requests
• Documentation: Full API documentation
• Examples: Usage examples

Changelog

v1.0.0

• Initial release
• MCP server with stdio, SSE, and HTTP transports
• Single video and bulk transcript extraction
• Docker containerization
• Comprehensive test suite
• TypeScript support
• Caching and rate limiting
• Multiple output formats (text, JSON, SRT)