Google Search trend data via MCP

Track how Google Search volume for any keyword has moved over time. Period-over-period growth, rising queries, and declining signals - structured data your AI can act on directly.

get_trends

Retrieve the full 5-year Google Search demand curve for a keyword - see exactly when interest spiked, plateaued, or declined.

get_trends(keyword='weight loss supplements', source='google search', data_mode='weekly')

get_growth

Calculate precise period-over-period Google Search growth for any keyword. Use custom date ranges to compare pre- vs post-campaign or pre- vs post-launch performance.

get_growth(keyword='weight loss supplements', source='google search', percent_growth=['3M', '1Y'])

get_ranked_trends

Rank a set of keywords by their current Google Search growth rate to find which queries are accelerating fastest and deserve SEO or ad investment.

get_ranked_trends(source='google search', sort='yoy_pct_change', limit=50)

get_top_trends

Discover what topics are breaking on Google Search right now - no keyword required. Use daily to catch new breakout queries within hours of their surge.

get_top_trends(type='Google Trends', limit=25)

Common questions

Google Trends shows relative popularity. Google Search trend data in Trends MCP adds absolute query volume estimates, precise percentage growth calculations, and structured JSON output - making it actionable for AI agents doing research or monitoring.
7 days, 1 month, 3 months, 6 months, 1 year, year-to-date, and custom date ranges. The API returns start date, end date, volume for each period, and percentage change.
Yes. Pass a list of keywords and get comparative growth metrics back in a single structured response, sorted by growth rate.
Yes. You can ask your AI to identify which keywords in a list are growing fastest on Google Search, then use that to prioritize content or ad spend.