YouTube Trending MCP Server
Collect trending YouTube videos without web scraping! This MCP server provides stable, API-based YouTube data collection using yt-dlp. No web scraping, no API keys required, no quotas!
Features
- No Web Scraping - Uses yt-dlp's stable API access
- No API Keys - Completely free forever
- No Quotas - Unlimited data collection
- Category Filtering - Any topic: Music, Gaming, Cooking, Tech, etc.
- Daily Rankings - Track trending videos over time
- RSS Fallback - Alternative data source
- SQLite Storage - Built-in database support
Installation
pip install youtube-trending-mcp
Or install from source:
git clone https://github.com/AIKONG2024/youtube-trending-mcp.git
cd youtube-trending-mcp
pip install -e .
Quick Start
Claude Code
Add to your MCP config:
{
"mcpServers": {
"youtube-trending": {
"command": "python",
"args": ["-m", "youtube_trending_mcp"],
"env": {
"DATA_DIR": "/path/to/data"
}
}
}
}
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"youtube-trending": {
"command": "python",
"args": ["-m", "youtube_trending_mcp"]
}
}
}
OpenAI Codex
{
"mcpServers": {
"youtube-trending": {
"command": "python",
"args": ["-m", "youtube_trending_mcp"],
"env": {
"DATA_DIR": "./data"
}
}
}
}
LLM Tool Reference
Tools Overview
| Tool | Description |
|---|---|
search_trending_videos |
Search trending videos by category |
search_custom_videos |
Search any topic with custom query |
get_video_metadata |
Get detailed metadata for a video |
collect_daily_ranking |
Collect and save daily rankings |
get_youtube_rss_feed |
Fetch RSS feed from channel/playlist |
filter_videos |
Filter videos by views, likes, duration |
search_trending_videos
Parameters:
category: string (default: "all") - "all", "pets", "music", "gaming", "entertainment", or any topic
max_results: int (default: 20, range: 1-100)
region: string (default: "US") - Country code
Returns: { success, count, category, videos: [VideoObject] }
search_custom_videos
Parameters:
query: string (required) - Any search term
max_results: int (default: 20)
min_views: int (default: 0) - Filter by minimum views
sort_by: string (default: "relevance") - "relevance", "views", "date"
Returns: { success, query, count, videos: [VideoObject] }
get_video_metadata
Parameters:
video_id: string (required) - YouTube video ID (11 chars)
Returns: { success, video: VideoObject }
collect_daily_ranking
Parameters:
category: string (default: "all")
max_results: int (default: 50)
save_to_db: bool (default: true)
save_to_json: bool (default: true)
Returns: { success, count, output_paths: [...] }
get_youtube_rss_feed
Parameters:
channel_id: string - Channel ID (starts with "UC...")
playlist_id: string - Playlist ID
(At least one required)
Returns: { success, count, feed_type, videos: [VideoObject] }
filter_videos
Parameters:
videos: array (required) - List of VideoObjects
min_views: int - Minimum view count
min_likes: int - Minimum like count
max_duration: int - Max duration in seconds
exclude_keywords: array - Keywords to exclude
Returns: { success, original_count, filtered_count, videos: [VideoObject] }
VideoObject Schema
{
"video_id": "dQw4w9WgXcQ",
"title": "Video Title",
"channel": "Channel Name",
"channel_id": "UCuAXFkgsw1L7xaCfnd5JJOw",
"views": 1500000000,
"likes": 16000000,
"upload_date": "20091025",
"duration": 212,
"description": "Description (max 1000 chars)",
"categories": ["Music"],
"tags": ["tag1", "tag2"],
"thumbnail": "https://i.ytimg.com/vi/.../maxresdefault.jpg",
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
}
Common Workflows
# Find popular videos on any topic
search_custom_videos(query="machine learning", max_results=30, sort_by="views")
# Get trending by category
search_trending_videos(category="gaming", max_results=50, region="KR")
# Filter results
videos = search_custom_videos(query="cooking", max_results=100)
filter_videos(videos=videos, min_views=50000, max_duration=600)
# Save daily rankings
collect_daily_ranking(category="music", max_results=100)
Notes
- Video IDs: 11 characters (e.g.,
dQw4w9WgXcQ) - Channel IDs: Start with
UC+ 22 characters - Duration: In seconds
- Upload date:
YYYYMMDDformat
Why yt-dlp Instead of Web Scraping?
| Web Scraping | yt-dlp Approach |
|---|---|
| Requires Playwright (heavy) | No browser needed |
| Breaks with site changes | Stable internal APIs |
| Anti-bot protection issues | Community maintained (143k+ stars) |
| Legal concerns (ToS) | Weekly updates |
| High maintenance | Reliable & fast |
Development
git clone https://github.com/AIKONG2024/youtube-trending-mcp.git
cd youtube-trending-mcp
pip install -e ".[dev]"
pytest tests/ -v
Related Projects
- yt-dlp-mcp - Download videos and transcripts via MCP
License
MIT License - see LICENSE file for details.
Made with love by AIKONG2024
Metadata
Release files for youtube-trending-mcp 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| youtube_trending_mcp-1.0.0.tar.gz | 20.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| youtube_trending_mcp-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.2 kB
Release files / youtube_trending_mcp-1.0.0.tar.gz
| Download URL | youtube_trending_mcp-1.0.0.tar.gz |
|---|---|
| Size | 20.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9d5cb3754a5cecdc972039dc37e93ac723531fd587f4cd9aa78883338d3dac80
|
|
BLAKE2b-256 checksum How to use checksums |
94ea1f22b112ffc167160619885994607a99d0173e588076dea61992e80c8244
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / youtube_trending_mcp-1.0.0-py3-none-any.whl
| Download URL | youtube_trending_mcp-1.0.0-py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
dd8d1006c83fd117a04c030b21d0b1d9934e7554d12fa1c5eb7a17321031491b
|
|
BLAKE2b-256 checksum How to use checksums |
656ab18a3f104bab630ba4a507710c5dfa84322d102e9894aaf6d1f989a87a6f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Security for youtube-trending-mcp 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.