YouTube Video Downloader MCP
An advanced MCP server that enables asynchronous downloading of YouTube videos and playlists with features for job tracking and library management. It utilizes yt-dlp and an SQLite database to store metadata, monitor download status, and manage content through Claude Desktop.
README
YouTube Video Downloader
A comprehensive collection of Python tools for downloading YouTube content using yt-dlp, including both simple scripts and an advanced MCP server.
Tools
1. Simple Scripts
Single Video Downloader (youtube_downloader.py)
Downloads individual YouTube videos with progress tracking.
Playlist Downloader (playlist_downloader.py)
Downloads entire YouTube playlists with organization.
2. MCP Server (youtube_mcp_server_fastmcp.py)
An advanced MCP (Model Context Protocol) server using FastMCP that provides:
- Asynchronous video and playlist downloads
- Job tracking and status monitoring
- SQLite database for metadata storage
- Comprehensive library management
- Claude Desktop integration
Features
Simple Scripts
Single Video Downloader
- ✅ Prompts user for YouTube URL
- ✅ Downloads the best quality video available
- ✅ Creates a
downloadsfolder for saved videos - ✅ Shows download progress
- ✅ Handles errors gracefully
- ✅ Auto-installs yt-dlp if not present
- ✅ No pytube dependency (as requested)
Playlist Downloader
- ✅ Prompts user for YouTube playlist URL
- ✅ Downloads entire playlists (up to 50 videos by default)
- ✅ Creates organized folders for each playlist
- ✅ Shows playlist information before downloading
- ✅ Downloads videos with playlist index numbers
- ✅ Auto-installs yt-dlp if not present
- ✅ Confirmation prompt before downloading large playlists
MCP Server Features
- ✅ Asynchronous Downloads: Start downloads and get job IDs for tracking
- ✅ Job Status Monitoring: Check download progress and status
- ✅ Metadata Database: SQLite database with video/playlists info
- ✅ Library Management: Browse all downloaded content
- ✅ Error Handling: Comprehensive error tracking and reporting
- ✅ Concurrent Downloads: Multiple downloads can run simultaneously
- ✅ Rich Metadata: Stores titles, descriptions, duration, file paths, etc.
Requirements
- Python 3.11+
- yt-dlp (automatically installed if missing)
- MCP SDK (automatically installed if missing)
Usage
Single Video Download
-
Run the single video downloader:
python3 youtube_downloader.py -
Enter a YouTube URL when prompted
-
The video will be downloaded to the
downloadsfolder
Playlist Download
-
Run the playlist downloader:
python3 playlist_downloader.py -
Enter a YouTube playlist URL when prompted
-
Review playlist information and confirm download
-
All videos will be downloaded to a playlist-specific folder
MCP Server Usage
The MCP server provides four main tools for asynchronous downloading and library management.
Using with uv (Recommended)
- Install dependencies and run:
cd /Users/granludo/code/testing/youtube_download uv sync uv run python start_server.py
Direct Python Usage
python3 youtube_mcp_server_fastmcp.py
Available MCP Tools
- download_video - Start async video download
- download_playlist - Start async playlist download
- get_download_status - Monitor download progress
- cancel_download - Cancel running downloads
- list_downloads - Browse all download jobs
- get_video_metadata - Get video info without downloading
Examples
Single Video Example
$ python3 youtube_downloader.py
==================================================
YouTube Video Downloader
==================================================
Enter YouTube URL: https://www.youtube.com/watch?v=dQw4w9WgXcQ
📥 Downloading video from: https://www.youtube.com/watch?v=dQw4w9WgXcQ
✓ Download completed!
📁 Files saved to: /path/to/downloads
Playlist Example
$ python3 playlist_downloader.py
==================================================
YouTube Playlist Downloader
==================================================
Enter YouTube Playlist URL: https://www.youtube.com/playlist?list=PLrAXtmRdnEQy5rhxJj7aKre_2qO5yQ5nI
📊 Analyzing playlist...
📋 Playlist name: My Music Playlist
🎥 Number of videos: 25
🔄 Download 25 videos? (y/N): y
📥 Downloading playlist: My Music Playlist
✓ Playlist download completed!
📁 All videos saved to: /path/to/playlists/My Music Playlist
MCP Server Examples
Using with uv
-
Install and run the server:
cd /Users/granludo/code/testing/youtube_download uv sync # Install dependencies uv run python start_server.py # Start server -
The server will start silently (no stdout output, as required by MCP protocol)
MCP Tool Examples
Tool 1: Download Single Video
{
"name": "download_video",
"arguments": {
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"output_dir": "downloads"
}
}
Response: "Download started successfully. Job ID: abc123-def456-ghi789"
Tool 2: Download Playlist
{
"name": "download_playlist",
"arguments": {
"url": "https://www.youtube.com/playlist?list=PLrAXtmRdnEQy5rhxJj7aKre_2qO5yQ5nI",
"output_dir": "playlists"
}
}
Response: "Playlist download started successfully. Job ID: def456-ghi789-jkl012"
Tool 3: Check Download Status
{
"name": "get_download_status",
"arguments": {
"job_id": "abc123-def456-ghi789"
}
}
Response: JSON object with job status, progress, and metadata
Tool 4: List Downloads
{
"name": "list_downloads",
"arguments": {}
}
Response:
📹 VIDEOS:
- Never Gonna Give You Up (ID: video-uuid-123)
Path: /downloads/Never Gonna Give You Up.mp4
Duration: 213s
📁 PLAYLISTS:
- Music Collection (ID: playlist-uuid-456)
Videos: 25
Path: /playlists/Music Collection
Complete Workflow Example
-
Configure Claude Desktop - Add the MCP server to your
claude_desktop_config.json:{ "mcpServers": { "youtube-mcp-tools": { "command": "/opt/homebrew/bin/uv", "args": [ "--directory", "/Users/granludo/code/testing/youtube_download", "run", "start_server.py" ] } } } -
Download a video in Claude:
"Download this YouTube video: https://www.youtube.com/watch?v=jNQXAC9IVRw"The server will start the download and return a job ID immediately.
-
Check download status:
"What's the status of that download?" -
List all downloads:
"Show me all my download jobs"
Notes
Simple Scripts
- Both scripts will automatically install yt-dlp if it's not found
- Videos are saved with their original titles
- Playlist videos are numbered by their position in the playlist
- The playlist downloader limits downloads to 50 videos by default (adjustable)
- Both scripts handle keyboard interrupts gracefully
- Downloads are organized in separate folders for videos vs playlists
MCP Server
- Uses FastMCP for simplified MCP server implementation
- Creates
youtube_library.dbSQLite database for metadata - Supports up to 3 concurrent downloads
- Job tracking with unique UUIDs for each download
- Rich metadata storage including titles, descriptions, duration, file paths
- Asynchronous downloads that return immediately with job IDs
- Comprehensive error handling and logging
- Compatible with Claude Desktop and other MCP clients
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.