YouTube search interest as an MCP tool. Plug into Claude, Cursor, or any MCP-compatible AI host. Weekly series, growth percentages, and live YouTube trending searches. Powered by trendsmcp.ai
Project description
youtube-trends-mcp
YouTube trend data for AI assistants Find out what people are searching for on YouTube. Rising topics, growing video keywords, and historical search demand - all queryable by your AI in plain language.
Full docs and live demo: https://trendsmcp.ai/youtube-trends
Part of Trends MCP -- the MCP server for live trend data across 12+ sources. See the main repo: https://github.com/trendsmcp/trends-mcp
Get started in 2 steps
Step 1: Get your free API key at trendsmcp.ai 100 requests/day, no credit card required.
Step 2: Add to your AI client (replace YOUR_API_KEY):
Cursor / Windsurf / Cline (~/.cursor/mcp.json or equivalent)
{
"mcpServers": {
"trends-mcp": {
"url": "https://api.trendsmcp.ai/mcp",
"transport": "http",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
VS Code / GitHub Copilot (.vscode/mcp.json)
{
"servers": {
"trends-mcp": {
"type": "http",
"url": "https://api.trendsmcp.ai/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"trends-mcp": {
"url": "https://api.trendsmcp.ai/mcp",
"transport": "http",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Claude.ai (browser) Settings -> Connectors -> Add custom connector:
https://api.trendsmcp.ai/mcp
Example query
After connecting, ask your AI:
get_trends(keyword='morning routine', source='youtube', data_mode='weekly')
Available tools
| Tool | What it does |
|---|---|
get_trends |
Time-series for a keyword on this source |
get_growth |
Growth % over 1W, 1M, 3M, 6M, 1Y periods |
get_top_trends |
What is trending right now on this source |
get_ranked_trends |
Top topics ranked by volume |
FAQ
What YouTube data does Trends MCP provide?
YouTube video search volume trends - normalized interest over time, growth metrics, and historical series. This reflects demand for video content on specific topics, not view counts on individual videos.
How is YouTube search data different from Google Search data?
YouTube reflects video-specific intent. A keyword like 'how to do a handstand' may have high YouTube demand but lower Google Search volume. Comparing both reveals content format preferences.
Can I use this to find trending YouTube content ideas?
Yes. Query a set of topic keywords, rank by growth rate over the last 30 days, and your AI will surface which video topics are gaining search momentum right now.
Does it cover YouTube Shorts search demand?
The signal reflects overall YouTube search volume including Shorts discovery. YouTube does not separate Shorts search data, so results reflect total platform search interest.
All data sources
Trends MCP covers 12+ sources in one connection: Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News Sentiment, Web Traffic, App Downloads, Steam, npm, and more.
Browse all: https://trendsmcp.ai/data-sources
License
MIT © Trends MCP
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file youtube_trends_mcp-1.0.0.tar.gz.
File metadata
- Download URL: youtube_trends_mcp-1.0.0.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
31eff9cece5ebfed959f71d202f73e0d00b7200e12b08f1417d69434e343d533
|
|
| MD5 |
6d5ca08f9c92057a067688f2a49c8c38
|
|
| BLAKE2b-256 |
0e0f842c627c00933277e6dc032d6d1d8563383e8a047272b255ba6939e72a91
|
Provenance
The following attestation bundles were made for youtube_trends_mcp-1.0.0.tar.gz:
Publisher:
publish.yml on trendsmcp/youtube-trends-mcp
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
youtube_trends_mcp-1.0.0.tar.gz -
Subject digest:
31eff9cece5ebfed959f71d202f73e0d00b7200e12b08f1417d69434e343d533 - Sigstore transparency entry: 1203561790
- Sigstore integration time:
-
Permalink:
trendsmcp/youtube-trends-mcp@f75ff3b29a35c43a41693288b63ffff3e31ec50e -
Branch / Tag:
refs/tags/v1.0.0 - Owner: https://github.com/trendsmcp
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@f75ff3b29a35c43a41693288b63ffff3e31ec50e -
Trigger Event:
release
-
Statement type:
File details
Details for the file youtube_trends_mcp-1.0.0-py3-none-any.whl.
File metadata
- Download URL: youtube_trends_mcp-1.0.0-py3-none-any.whl
- Upload date:
- Size: 4.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1932adf373a81c5bc0ee0085e4724fadd23420384fafe6ef6b9c92cc293f5ba9
|
|
| MD5 |
8bdfe2224b7da6cf6e1ec4a4c827b3a2
|
|
| BLAKE2b-256 |
9c4a5c9802dfdd25d4f488c3aa0d6a94a29bc0b40951c4870d4e4a9504fd310f
|
Provenance
The following attestation bundles were made for youtube_trends_mcp-1.0.0-py3-none-any.whl:
Publisher:
publish.yml on trendsmcp/youtube-trends-mcp
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
youtube_trends_mcp-1.0.0-py3-none-any.whl -
Subject digest:
1932adf373a81c5bc0ee0085e4724fadd23420384fafe6ef6b9c92cc293f5ba9 - Sigstore transparency entry: 1203561791
- Sigstore integration time:
-
Permalink:
trendsmcp/youtube-trends-mcp@f75ff3b29a35c43a41693288b63ffff3e31ec50e -
Branch / Tag:
refs/tags/v1.0.0 - Owner: https://github.com/trendsmcp
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@f75ff3b29a35c43a41693288b63ffff3e31ec50e -
Trigger Event:
release
-
Statement type: