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yt-dlp-mcp

yt-dlp-mcp

Local
github.com/kevinwattMedia & Design298Updated today

About yt-dlp-mcp

yt-dlp-mcp is an MCP server built on yt-dlp that lets AI assistants search, inspect and download video and audio through natural language. It suits users who need metadata, transcripts or media files from video platforms.

Key features

  1. 01YouTube search with pagination and date filters
  2. 02Metadata extraction without downloading content
  3. 03VTT subtitles and plain text transcripts
  4. 04Video download with resolution and trimming options
  5. 05Audio-only download in M4A or MP3
  6. 06Comment extraction with flat or threaded views

Use cases

  1. 01Asking an AI assistant to summarize a video's title, channel and upload date
  2. 02Fetching subtitles in a chosen language and producing a plain text transcript
  3. 03Downloading a segment of a video or its audio track

MCP support

This project is an MCP server that exposes ytdlp_-prefixed tools to MCP clients such as Claude Code, Claude Desktop and Cursor.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": [
"-y",
"@kevinwatt/yt-dlp-mcp"
]
}
}
}
Run commandnpx -y @kevinwatt/yt-dlp-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@kevinwatt/yt-dlp-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

🎬 yt-dlp-mcp

A powerful MCP server that brings video platform capabilities to your AI agents

npm version License: MIT Node.js Version TypeScript

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

🔍 Search & Discovery
  • Search YouTube with pagination
  • JSON or Markdown output formats
  • Filter by relevance and quality
📊 Metadata Extraction
  • Comprehensive video information
  • Channel details and statistics
  • Upload dates, tags, categories
  • No content download required
📝 Transcript & Subtitles
  • Download subtitles in VTT format
  • Generate clean text transcripts
  • Multi-language support
  • Auto-generated captions
🎥 Video Downloads
  • Resolution control (480p-1080p)
  • Video trimming support
  • Platform-agnostic (YouTube, Facebook, etc.)
  • Saved to Downloads folder
🎵 Audio Extraction
  • Best quality audio (M4A/MP3)
  • Direct audio-only downloads
  • Perfect for podcasts & music
🛡️ Privacy & Safety
  • No tracking or analytics
  • Direct downloads via yt-dlp
  • Zod schema validation
  • Character limits for LLM safety

🚀 Installation

Prerequisites

Install yt-dlp on your system:

PlatformCommand
🪟 Windowswinget install yt-dlp
🍎 macOSbrew install yt-dlp
🐧 Linuxpip install yt-dlp
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
  1. Open Dive Desktop
  2. Click "+ Add MCP Server"
  3. Paste the config provided above
  4. 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

🛠️ Available Tools

All tools are prefixed with ytdlp_ to avoid naming conflicts with other MCP servers.

🔍 Search & Discovery
ToolDescription
ytdlp_search_videos

Search YouTube with pagination and date filtering support

  • Parameters: query, maxResults, offset, response_format, uploadDateFilter
  • Date Filter: hour, today, week, month, year (optional)
  • Returns: Video list with titles, channels, durations, URLs
  • Supports: JSON and Markdown formats
📝 Subtitles & Transcripts
ToolDescription
ytdlp_list_subtitle_languages

List all available subtitle languages for a video

  • Parameters: url
  • Returns: Available languages, formats, auto-generated status
ytdlp_download_video_subtitles

Download subtitles in VTT format with timestamps

  • Parameters: url, language (optional)
  • Returns: Raw VTT subtitle content
ytdlp_download_transcript

Generate clean plain text transcript

  • Parameters: url, language (optional)
  • Returns: Cleaned text without timestamps or formatting
🎥 Video & Audio Downloads
ToolDescription
ytdlp_download_video

Download video to Downloads folder

  • Parameters: url, resolution, startTime, endTime
  • Resolutions: 480p, 720p, 1080p, best
  • Supports: Video trimming
ytdlp_download_audio

Extract and download audio only

  • Parameters: url
  • Format: Best quality M4A/MP3
📊 Metadata
ToolDescription
ytdlp_get_video_metadata

Extract comprehensive video metadata in JSON

  • Parameters: url, fields (optional array)
  • Returns: Complete metadata or filtered fields
  • Includes: Views, likes, upload date, tags, formats, etc.
ytdlp_get_video_metadata_summary

Get human-readable metadata summary

  • Parameters: url
  • Returns: Formatted text with key information
💬 Comments
ToolDescription
ytdlp_get_video_comments

Extract comments in flat JSON, threaded JSON, or AI-friendly Markdown

  • Parameters: url, maxComments, sortOrder, view, responseFormat, maxParents, maxReplies, maxRepliesPerThread, maxDepth
  • Views: flat (default) or threaded
  • Formats: json (default) or markdown_tree (markdown_tree requires threaded view)
  • Returns: Comment objects with depth, reply_count, root_threads, reply_comments, orphan_comments
  • Graceful Degradation: On platforms without parent metadata, threaded mode falls back to root-only comments
ytdlp_get_video_comments_summary

Get a human-readable summary of comments

  • Parameters: url, maxComments, view
  • Views: flat (linear summary) or threaded (grouped reply trees)
  • Returns: Readable comment digest with author badges, time, likes, and grouped replies

💡 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
"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 Comments
"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:

SettingEffect
YTDLP_PROXY=socks5://127.0.0.1:1080Route all requests through this proxy
YTDLP_PROXY= (empty)Force a direct connection, overriding a proxy in the yt-dlp config file
YTDLP_IGNORE_CONFIG=1Skip all yt-dlp config files

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

📊 Response Formats

JSON Format

Perfect for programmatic processing:

{
  "total": 50,
  "count": 10,
  "offset": 0,
  "videos": [...],
  "has_more": true,
  "next_offset": 10
}
Markdown Format

Human-readable display:

Found 50 videos (showing 10):

1. **Video Title**
   📺 Channel: Creator Name
   ⏱️  Duration: 10:30
   🔗 URL: https://...
Comment Markdown Tree

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
Comment Limits

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.

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. 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

📚 Related Projects


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