MCP YouTube Transcript Server
A Model Context Protocol server that enables retrieval of transcripts, metadata, and subtitles from YouTube videos. It supports multiple languages, automatic paragraph segmentation, and video downloading to facilitate content analysis and processing.
README
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
✨ 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)
-
Create or edit the Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the following configuration:
{
"mcpServers": {
"youtube-transcript": {
"command": "npx",
"args": [
"-y",
"@gabriel3615/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",
"@gabriel3615/mcp-youtube-transcript"
]
}
}
}
EOL
Usage
Basic Configuration
To use with Claude Desktop / Cursor / cline, ensure your configuration matches:
{
"mcpServers": {
"youtube-transcript": {
"command": "npx",
"args": ["-y", "@gabriel3615/mcp-youtube-transcript"]
}
}
}
Testing
With Claude App
- Restart the Claude app after installation
- 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/flying3615/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. Paste the session id to pass authentication
# 2. List Tools: clink `List Tools`
# 3. Test get_transcripts with:
# url: "https://www.youtube.com/watch?v=LCEmiRjPEtQ"
# 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 tomcp-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 IDlang(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"
}
}]
}
download_video
Downloads a video from YouTube.
Parameters:
url(string, required): YouTube video URL or IDoutput(string, optional): The path to save the video file (default: "video.mp4")
Response Format:
{
"content": [{
"type": "text",
"text": "Video successfully downloaded to video.mp4",
"metadata": {
"videoId": "video_id",
"path": "video.mp4",
"timestamp": "processing_time"
}
}]
}
Development
Project Structure
├── src/
│ ├── index.ts # Server entry point
│ ├── index.ts # YouTube transcript fetching logic
├── dist/ # Compiled output
└── package.json
Key Components
YouTubeTranscriptFetcher: Core transcript fetching functionalityYouTubeUtils: 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.
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