TikTok hashtag volume over time, with growth for any hashtag. Free key at trendsmcp.ai
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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
Step 1: Get your free API key at trendsmcp.ai 100 requests/month, no credit card required.
Step 2: Add to your AI client (replace YOUR_API_KEY):
Cursor / Windsurf / Cline Β (~/.cursor/mcp.json or equivalent)
VS Code / GitHub Copilot Β (.vscode/mcp.json)
Claude Desktop Β (claude_desktop_config.json)
User β Settings β Developer β Edit Config β add inside mcpServers
Claude.ai (browser) Β Settings -> Connectors -> Add custom connector:
After connecting, ask your AI:
| 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 |
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.
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.
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.
Yes. Track a brand name or product hashtag over time to measure TikTok presence growth relative to competitors.
No. The query is normalized before lookup. You can use 'booktok', 'BookTok', or '#booktok' - all return the same signal.
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
Same API key works directly in Python - no MCP host needed.
MIT Β© Trends MCP
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