tiktok-trends-mcp
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Provides TikTok hashtag trend volume, growth rate, and historical time series data for tracking viral spikes and platform-specific demand signals.
Provides trend data for Wikipedia page views and topics, reflecting public interest.
Provides trend data for YouTube search queries and video topics, enabling tracking of content popularity.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@tiktok-trends-mcpWhat's trending on TikTok today?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
tiktok-trends-mcp
TikTok trend data for AI assistants Spot TikTok trends before they go mainstream. Track hashtag volume growth, viral spikes, and platform-specific demand signals - all accessible from your AI in plain language.
Full docs and live demo: https://trendsmcp.ai/tiktok-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)
User → Settings → Developer → Edit Config — add inside mcpServers
{
"mcpServers": {
"trends-mcp": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.trendsmcp.ai/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer YOUR_API_KEY"
}
}
}
}Claude.ai (browser) Settings -> Connectors -> Add custom connector:
https://api.trendsmcp.ai/mcpRelated MCP server: TikTok Ads MCP Server
Example query
After connecting, ask your AI:
get_trends(keyword='booktok', source='tiktok', data_mode='weekly')Available tools
Tool | What it does |
| Time-series for a keyword on this source |
| Growth % over 1W, 1M, 3M, 6M, 1Y periods |
| What is trending right now on this source |
| Top topics ranked by volume |
FAQ
What TikTok data does Trends MCP provide?
TikTok hashtag trend volume - normalized interest, growth rate, and historical time series. This reflects how frequently a hashtag appears and grows on the platform over time.
How early can I detect a TikTok trend?
Trends MCP returns weekly and daily data. Daily data (last 30 days) lets you spot early-stage growth spikes before a hashtag reaches mainstream saturation.
Can I compare TikTok trends against Google Search?
Yes. Query both sources in one call. TikTok often shows spikes 2-4 weeks before the same topic rises on Google Search, making cross-platform comparison a leading indicator strategy.
Does this work for brand monitoring on TikTok?
Yes. Track a brand name or product hashtag over time to measure TikTok presence growth relative to competitors.
Are TikTok hashtags case-sensitive?
No. The query is normalized before lookup. You can use 'booktok', 'BookTok', or '#booktok' - all return the same signal.
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
Also works as a Python client
Same API key works directly in Python - no MCP host needed.
pip install tiktok-trends-mcpimport os
from tiktok_trends_mcp import TrendsMcpClient, SOURCE
client = TrendsMcpClient(api_key=os.environ["TRENDSMCP_API_KEY"])
series = client.get_trends(source=SOURCE, keyword="your keyword")
growth = client.get_growth(source=SOURCE, keyword="your keyword", percent_growth=["1M", "3M", "12M"])
top = client.get_top_trends(type="Tiktok", limit=10)Full Python docs: trendsmcp.ai/docs
License
MIT © Trends MCP
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