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
Máy chủ liên quan
Bright Data
nhà tài trợDiscover, extract, and interact with the web - one interface powering automated access across the public internet.
anybrowse
Convert any URL to LLM-ready Markdown via real Chrome browsers. 3 tools: scrape, crawl, search. Free via MCP, pay-per-use via x402.
Query Table
A financial web table crawler using Playwright that queries data from multiple websites with fallback switching.
Social & Content MCP Server
Trending content from Hacker News, Dev.to, IMDb, podcasts, and Eventbrite
UseScraper
A server for web scraping using the UseScraper API.
Amazon MCP Server
Scrapes and searches for products on Amazon.
Financial Data MCP Server
Provides real-time financial market data from Yahoo Finance.
News MCP Server
Real-time news aggregation from AP, BBC, NPR, Hacker News, and Google News
Puppeteer
Browser automation using Puppeteer, with support for local, Docker, and Cloudflare Workers deployments.
Skrapr
An intelligent web scraping tool using AI and browser automation to extract structured data from websites.