🎬 yt-dlp-mcp
A powerful MCP server that brings video platform capabilities to your AI agents

Integrate yt-dlp with Claude, Dive, and other MCP-compatible AI systems. Download videos, extract metadata, get transcripts, and more — all through natural language.
Features • Installation • Tools • Usage • Documentation
✨ Features
🚀 Installation
Prerequisites
Install yt-dlp on your system:
Getting Started
Add the following config to your MCP client:
{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": ["-y", "@kevinwatt/yt-dlp-mcp@latest"]
}
}
}
MCP Client Configuration
Dive
- Open Dive Desktop
- Click "+ Add MCP Server"
- Paste the config provided above
- Click "Save" and you're ready!
Claude Code
Use the Claude Code CLI to add the yt-dlp MCP server (guide):
claude mcp add yt-dlp npx @kevinwatt/yt-dlp-mcp@latest
Claude Desktop
Add to your claude_desktop_config.json:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- Linux:
~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": ["-y", "@kevinwatt/yt-dlp-mcp@latest"]
}
}
}
Cursor
Go to Cursor Settings -> MCP -> New MCP Server. Use the config provided above.
VS Code / Copilot
Install via the VS Code CLI:
code --add-mcp '{"name":"yt-dlp","command":"npx","args":["-y","@kevinwatt/yt-dlp-mcp@latest"]}'
Or follow the MCP install guide with the standard config from above.
Windsurf
Follow the configure MCP guide using the standard config from above.
Cline
Follow Cline MCP configuration guide and use the config provided above.
Warp
Go to Settings | AI | Manage MCP Servers -> + Add to add an MCP Server. Use the config provided above.
JetBrains AI Assistant
Go to Settings | Tools | AI Assistant | Model Context Protocol (MCP) -> Add. Use the config provided above.
Manual Installation
npm install -g @kevinwatt/yt-dlp-mcp
All tools are prefixed with ytdlp_ to avoid naming conflicts with other MCP servers.
🔍 Search & Discovery
📝 Subtitles & Transcripts
🎥 Video & Audio Downloads
💡 Usage Examples
Search Videos
"Search for Python programming tutorials"
"Find the top 20 machine learning videos"
"Search for 'react hooks tutorial' and show results 10-20"
"Search for JavaScript courses in JSON format"
"Get metadata for https://youtube.com/watch?v=..."
"Show me the title, channel, and view count for this video"
"Extract just the duration and upload date"
"Give me a quick summary of this video's info"
"Get the top 20 comments for https://youtube.com/watch?v=..."
"Get comments as threaded JSON for this video"
"Extract comments as markdown_tree so the reply branches stay intact"
"Get newest comments with maxDepth 1 and maxRepliesPerThread 0"
"Summarize comments in threaded view"
Download Subtitles & Transcripts
"List available subtitles for https://youtube.com/watch?v=..."
"Download English subtitles from this video"
"Get a clean transcript of this video in Spanish"
"Download Chinese (zh-Hant) transcript"
Download Content
"Download this video in 1080p: https://youtube.com/watch?v=..."
"Download audio from this YouTube video"
"Download this video from 1:30 to 2:45"
"Save this Facebook video to my Downloads"
📖 Documentation
🔧 Configuration
Environment Variables
# Downloads directory (default: ~/Downloads)
YTDLP_DOWNLOADS_DIR=/path/to/downloads
# Default resolution (default: 720p)
YTDLP_DEFAULT_RESOLUTION=1080p
# Default subtitle language (default: en)
YTDLP_DEFAULT_SUBTITLE_LANG=en
See the Configuration Guide for the full list.
Proxy and yt-dlp Config File
All tools read your yt-dlp config file (~/.config/yt-dlp/config), so any
--proxy, --cookies or other options set there apply automatically. This is
the only channel available to MCP clients that cannot pass environment
variables to the server process.
These are alternatives — set only the one you need:
Supported proxy schemes: http, https, socks4, socks5, socks5h.
YTDLP_IGNORE_CONFIG=1 is not a straight revert to 0.9.x. The search,
metadata and comments tools always read the config file, so this setting
stops them from doing so as well.
MCP Configuration with a proxy:
{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": ["-y", "@kevinwatt/yt-dlp-mcp@latest"],
"env": {
"YTDLP_PROXY": "socks5://127.0.0.1:1080"
}
}
}
}
If your MCP client cannot pass environment variables to the server, put the
options in ~/.config/yt-dlp/config instead — every tool reads that file:
--proxy socks5://127.0.0.1:1080
--cookies /path/to/cookies.txt
Note: Your config file applies to downloads as well. Options that change
the output format (-x, --remux-video, --recode-video) change what the
download tools produce; the tools report the file yt-dlp actually wrote, so
the reported name stays correct. Output-location options (-o, -P) have no
effect, because the tools always pass an absolute --output on the command
line, which takes precedence.
Note: yt-dlp config files can contain options that execute commands
(--exec, --postprocessor-args, --ffmpeg-location). These now run on
tool invocations too, including ones triggered by an AI assistant. Set
YTDLP_IGNORE_CONFIG=1 if you would rather the server ignore your config
file entirely.
Cookie Configuration
To access private videos, age-restricted content, or avoid rate limits, configure cookies:
⚠️ Important: Cookie authentication requires a JavaScript runtime (deno) to be installed. When using cookies, YouTube uses authenticated API endpoints that require JavaScript challenge solving. Without deno, downloads will fail with "n challenge solving failed" error.
Install deno: https://docs.deno.com/runtime/getting_started/installation/
# Extract cookies from browser (recommended)
YTDLP_COOKIES_FROM_BROWSER=chrome
# Or use a cookie file
YTDLP_COOKIES_FILE=/path/to/cookies.txt
MCP Configuration with cookies:
{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": ["-y", "@kevinwatt/yt-dlp-mcp@latest"],
"env": {
"YTDLP_COOKIES_FROM_BROWSER": "chrome"
}
}
}
}
Supported browsers: brave, chrome, chromium, edge, firefox, opera, safari, vivaldi, whale
See Cookie Configuration Guide for detailed setup instructions.
🏗️ Architecture
Built With
- yt-dlp - Video extraction engine
- MCP SDK - Model Context Protocol
- Zod - TypeScript-first schema validation
- TypeScript - Type safety and developer experience
Key Features
- ✅ Type-Safe: Full TypeScript with strict mode
- ✅ Validated Inputs: Zod schemas for runtime validation
- ✅ Character Limits: Automatic truncation to prevent context overflow
- ✅ Tool Annotations: readOnly, destructive, idempotent hints
- ✅ Error Guidance: Actionable error messages for LLMs
- ✅ Modular Design: Clean separation of concerns
Perfect for programmatic processing:
{
"total": 50,
"count": 10,
"offset": 0,
"videos": [...],
"has_more": true,
"next_offset": 10
}
Human-readable display:
Found 50 videos (showing 10):
1. **Video Title**
📺 Channel: Creator Name
⏱️ Duration: 10:30
🔗 URL: https://...
Useful for LLM analysis when reply context matters:
# AI-Ready Comment Threads
source_title: "Sample Video"
comments_detected: 20
root_threads: 6
reply_comments: 14
## Threads
### Thread 1
- comment_id: "abc123"
parent_id: "root"
depth: 0
reply_count: 2
text:
| Root comment text
- comment_id: "reply456"
parent_id: "abc123"
depth: 1
reply_count: 0
text:
| Reply text
YouTube comment extraction supports the full extractor tuple:
youtube:comment_sort=<sort>;max_comments=<total>,<parents>,<replies>,<repliesPerThread>,<depth>
Examples:
- Default behavior:
maxComments=20 yields max_comments=20,20,20,20,2
- Root-only comments:
maxDepth=1, maxRepliesPerThread=0
- Limited branching:
maxReplies=40, maxRepliesPerThread=5, maxDepth=2
🔒 Privacy & Security
- No Tracking: Direct downloads, no analytics
- Input Validation: Zod schemas prevent injection
- URL Validation: Strict URL format checking
- Character Limits: Prevents context overflow attacks
- Read-Only by Default: Most tools don't modify system state
🤝 Contributing
Contributions are welcome! Please check out our Contributing Guide.
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature)
- Commit your changes (
git commit -m 'Add amazing feature')
- Push to the branch (
git push origin feature/amazing-feature)
- Open a Pull Request
📝 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- yt-dlp - The amazing video extraction tool
- Anthropic - For the Model Context Protocol
- Dive - MCP-compatible AI platform