Tiktok Trends

TikTok Trends MCP Works with Claude Works with Cursor

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

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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):

+ Add to Cursor (one click)

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/mcp

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Example query

After connecting, ask your AI:

get_trends(keyword='booktok', source='tiktok', data_mode='weekly')

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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

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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.

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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

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Also works as a Python client

Same API key works directly in Python - no MCP host needed.

pip install tiktok-trends-mcp

import 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