Google Trends data for AI assistants

Ask your AI what is trending on Google right now. Get breakout keywords, rising topics, and 5 years of normalized search interest data - without writing a single line of scraping code.

get_trends

Pull 5 years of weekly Google Search interest for any keyword to see the full demand curve - whether it is growing, seasonal, or declining.

get_trends(keyword='artificial intelligence', source='google search', data_mode='weekly')

get_growth

Measure how much Google Search interest has changed over 3 months or a year. Compare multiple keywords side by side to find the fastest-growing topic.

get_growth(keyword='electric vehicles', source='google search', percent_growth=['3M', '1Y'])

get_ranked_trends

Get a ranked list of the highest-volume or fastest-growing keywords on Google Search right now - useful for spotting breakout topics before they go mainstream.

get_ranked_trends(source='google search', sort='wow_pct_change', limit=20)

get_top_trends

See what topics are trending on Google Trends right now with no keyword required - ideal for daily discovery of what people are suddenly searching.

get_top_trends(type='Google Trends', limit=20)

Common questions

Trends MCP returns normalized search interest (0-100 scale), absolute search volume estimates, weekly or daily time series, and growth rate over your chosen period. Data reflects real Google Search demand.
Google Trends shows relative interest only. Trends MCP adds absolute volume estimates, structured JSON output your AI can reason over, and cross-platform comparison - so you can compare Google interest against TikTok or Reddit in one query.
Yes. Pass a list of keywords and the MCP server returns normalized series for each, aligned on the same timeline so your AI can compare them directly.
Up to 5 years of weekly data or 30 days of daily data. Use the period parameter: '5y', '1y', '3m', '1m', or '30d'.
Yes. You can filter by country code (e.g. US, GB, DE) to get region-specific search interest instead of global data.