YouTube MCP Server
Extract metadata and captions from YouTube videos and convert them to markdown.
YouTube MCP Server
A Model Context Protocol (MCP) server for interacting with YouTube videos. This server provides tools for extracting video metadata, captions, and converting them to markdown format with various templates.
Features
- Video Metadata: Fetch comprehensive video information
- Caption Extraction: Support for auto-generated and manual captions
- Multiple Languages: Built-in support for English and French
- Template System: Three built-in markdown templates:
- Basic: Simple transcript format
- Detailed: Full metadata with timestamps
- Search: Results highlighting with context
- Search Functionality: Search within video captions
- Flexible Authentication: Supports both API key and OAuth2 authentication
Prerequisites
- Node.js (v16 or higher)
- npm or yarn
- A YouTube Data API key and/or OAuth2 credentials
Installation
- Clone the repository:
git clone [repository-url]
cd youtube-mcp
- Install dependencies:
npm install
- Build the project:
npm run build
Configuration
Create a .env file in the root directory with your YouTube credentials:
YOUTUBE_API_KEY=your_api_key
YOUTUBE_CLIENT_ID=your_client_id
YOUTUBE_CLIENT_SECRET=your_client_secret
YOUTUBE_REFRESH_TOKEN=your_refresh_token # Optional, for OAuth2
MCP Configuration
Add the server to your MCP settings file (usually at ~/.config/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json):
{
"mcpServers": {
"youtube": {
"command": "node",
"args": ["path/to/youtube-mcp/build/index.js"],
"env": {
"YOUTUBE_API_KEY": "your_api_key",
"YOUTUBE_CLIENT_ID": "your_client_id",
"YOUTUBE_CLIENT_SECRET": "your_client_secret"
},
"disabled": false,
"alwaysAllow": []
}
}
}
Usage
The server provides the following tools:
1. Get Video Info
use_mcp_tool youtube get_video_info {
"url": "https://www.youtube.com/watch?v=VIDEO_ID"
}
2. Get Captions
use_mcp_tool youtube get_captions {
"url": "https://www.youtube.com/watch?v=VIDEO_ID",
"language": "en" // Optional, defaults to "en"
}
3. Convert to Markdown
use_mcp_tool youtube convert_to_markdown {
"url": "https://www.youtube.com/watch?v=VIDEO_ID",
"template_name": "detailed", // Optional, "basic", "detailed", or "search"
"language": "en", // Optional
"options": { // Optional
"include_chapters": true,
"search_term": "keyword" // Only for search template
}
}
4. List Templates
use_mcp_tool youtube list_templates
Dependencies
{
"dependencies": {
"@modelcontextprotocol/sdk": "latest",
"googleapis": "^146.0.0",
"google-auth-library": "^9.0.0",
"youtube-captions-scraper": "^2.0.0",
"express": "^4.18.2",
"open": "^9.1.0"
},
"devDependencies": {
"@types/node": "^20.0.0",
"typescript": "^5.0.0",
"tsx": "^4.0.0"
}
}
OAuth2 Setup
For OAuth2 authentication (required for private video access):
- Create a project in the Google Cloud Console
- Enable the YouTube Data API v3
- Create OAuth2 credentials (Web application type)
- Run the authentication script:
node src/get-api-key.js
- Follow the browser prompts to authorize the application
- Copy the refresh token to your configuration
Customizing Templates
You can add custom templates by modifying the DEFAULT_TEMPLATES array in src/index.ts. Templates follow this structure:
interface MarkdownTemplate {
name: string;
description: string;
format: {
header?: string;
chapter_format?: string;
caption_block: string;
timestamp_format?: string;
search_result_format?: string;
}
}
License
MIT
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Related Servers
Bright Data
sponsorDiscover, extract, and interact with the web - one interface powering automated access across the public internet.
Query Table
A financial web table crawler using Playwright that queries data from multiple websites with fallback switching.
yt-dlp
Download video and audio content from various websites like YouTube, Facebook, and Tiktok using yt-dlp.
YouTube Data
Access YouTube video data and transcripts using the YouTube Data API.
Yahoo Finance
Fetch stock data, news, and financial information from Yahoo Finance.
XPath MCP Server
Execute XPath queries on XML content.
Sitemap MCP Server
A server for fetching, parsing, analyzing, and visualizing website sitemaps.
Amazon MCP Server
Scrapes and searches for products on Amazon.
Fetch MCP Server
Fetches web content from a URL and converts it from HTML to markdown for easier consumption by LLMs.
Browser Use
Automate browser tasks using the Browser Use API.
JCrawl4AI
A Java-based MCP server for interacting with the Crawl4ai web scraping API.