What is Mcp Youtube Transcript

mcp-youtube-transcript is a Model Context Protocol server designed to retrieve transcripts from YouTube videos, providing direct access to video transcripts through a simple interface.

Use cases

Use cases include generating subtitles for videos, conducting research on video content, creating summaries of video discussions, and enhancing accessibility for hearing-impaired users.

How to use

To use mcp-youtube-transcript, you need to have Node.js 18 or higher installed. You can set it up by creating or editing the configuration file for Claude Desktop and adding the necessary command and arguments for the server.

Key features

Key features include extracting transcripts from YouTube videos, supporting multiple languages, formatting text in continuous or paragraph mode, retrieving video titles and metadata, automatic paragraph segmentation, text normalization, robust error handling, and timestamp detection.

Where to use

mcp-youtube-transcript can be used in content analysis, video processing, educational tools, and any application requiring access to video transcripts for further analysis or processing.

MCP YouTube Transcript Server

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts through a simple interface, making it ideal for content analysis and processing.

Table of Contents

• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
  • Basic Configuration
  • Testing
  • Troubleshooting and Maintenance
• API Reference
• Development
• Contributing
• License

Features

✨ Key capabilities:

• Extract transcripts from YouTube videos
• Support for multiple languages
• Format text with continuous or paragraph mode
• Retrieve video titles and metadata
• Automatic paragraph segmentation
• Text normalization and HTML entity decoding
• Robust error handling
• Timestamp and overlap detection

Getting Started

Prerequisites

• Node.js 18 or higher

Installation

We provide two installation methods:

Option 1: Manual Configuration (Recommended for Production)

1. Create or edit the Claude Desktop configuration file:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

2. Add the following configuration:

{
  "mcpServers": {
    "youtube-transcript": {
      "command": "npx",
      "args": [
        "-y",
        "@sinco-lab/mcp-youtube-transcript"
      ]
    }
  }
}

Quick setup script for macOS:

# Create directory if it doesn't exist
mkdir -p ~/Library/Application\ Support/Claude

# Create or update config file
cat > ~/Library/Application\ Support/Claude/claude_desktop_config.json << 'EOL'
{
  "mcpServers": {
    "youtube-transcript": {
      "command": "npx",
      "args": [
        "-y",
        "@sinco-lab/mcp-youtube-transcript"
      ]
    }
  }
}
EOL

Option 2: Via Smithery (Development Only)

npx -y @smithery/cli install @sinco-lab/mcp-youtube-transcript --client claude

⚠️ Note: This method is not recommended for production use as it relies on Smithery’s proxy services.

Usage

Basic Configuration

To use with Claude Desktop / Cursor / cline, ensure your configuration matches:

{
  "mcpServers": {
    "youtube-transcript": {
      "command": "npx",
      "args": [
        "-y",
        "@sinco-lab/mcp-youtube-transcript"
      ]
    }
  }
}

Testing

With Claude App

1. Restart the Claude app after installation
2. Test with a simple command:

   https://www.youtube.com/watch?v=AJpK3YTTKZ4 Summarize this video
   

Example output:

With MCP Inspector

# Clone and setup
git clone https://github.com/sinco-lab/mcp-youtube-transcript.git
cd mcp-youtube-transcript
npm install
npm run build

# Launch inspector
npx @modelcontextprotocol/inspector node "dist/index.js"

# Access http://localhost:6274 and try these commands:
# 1. List Tools: clink `List Tools`
# 2. Test get_transcripts with:
#    url: "https://www.youtube.com/watch?v=AJpK3YTTKZ4"
#    lang: "en" (optional)
#    enableParagraphs: false (optional)

Troubleshooting and Maintenance

Checking Claude Logs

To monitor Claude’s logs, you can use the following command:

tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

This will display the last 20 lines of the log file and continue to show new entries as they are added.

Note: Claude app automatically prefixes MCP server log files with mcp-server-. For example, our server’s logs will be written to mcp-server-youtube-transcript.log.

Cleaning the npx Cache

If you encounter issues related to the npx cache, you can manually clean it using:

rm -rf ~/.npm/_npx

This will remove the cached packages and allow you to start fresh.

API Reference

get_transcripts

Fetches transcripts from YouTube videos.

Parameters:

• url (string, required): YouTube video URL or ID
• lang (string, optional): Language code (default: “en”)
• enableParagraphs (boolean, optional): Enable paragraph mode (default: false)

Response Format:

{
  "content": [
    {
      "type": "text",
      "text": "Video title and transcript content",
      "metadata": {
        "videoId": "video_id",
        "title": "video_title",
        "language": "transcript_language",
        "timestamp": "processing_time",
        "charCount": "character_count",
        "transcriptCount": "number_of_transcripts",
        "totalDuration": "total_duration",
        "paragraphsEnabled": "paragraph_mode_status"
      }
    }
  ]
}

Development

Project Structure

├── src/
│ ├── index.ts            # Server entry point
│ ├── youtube.ts          # YouTube transcript fetching logic
├── dist/                 # Compiled output
└── package.json

Key Components

• YouTubeTranscriptFetcher: Core transcript fetching functionality
• YouTubeUtils: Text processing and utilities

Features and Capabilities

• Error Handling:

  • Invalid URLs/IDs
  • Unavailable transcripts
  • Language availability
  • Network errors
  • Rate limiting

• Text Processing:

  • HTML entity decoding
  • Punctuation normalization
  • Space normalization
  • Smart paragraph detection

Contributing

We welcome contributions! Please feel free to submit issues and pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Related Projects

• mcp-servers
• MCP Inspector