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

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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