Google Trends API for AI agents

The official Google Trends site has no public API. Trends MCP fills that gap: structured Google Search trend data delivered to any AI assistant via the Model Context Protocol. Absolute volume estimates, multi-source comparison, 5-year history - all in one clean JSON response.

Tools for this workflow

`get_trends`

Retrieve raw 5-year weekly Google Search volume for any keyword as structured JSON - the programmatic alternative to scraping the Google Trends website.

get_trends(keyword='model context protocol', source='google search', data_mode='weekly')

`get_growth`

Compute precise period-over-period Google Search growth with absolute volume estimates - the key capability missing from the official Google Trends site and from pytrends.

get_growth(keyword='model context protocol', source='google search', percent_growth=['3M', '1Y'])

`get_ranked_trends`

Get a programmatically queryable ranked list of the fastest-growing Google Search terms - no web scraping, no rate limiting, clean JSON your AI can act on immediately.

get_ranked_trends(source='google search', sort='wow_pct_change', limit=30)

`get_top_trends`

Pull live Google Trends breakout topics in real time via API - the same data as the Google Trends 'trending searches' feed but structured for AI agents.

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

FAQ

Common questions

Does Google have an official Trends API?

No. Google Trends has no official public API. The website provides relative interest data with no programmatic access. Trends MCP provides a structured, AI-native alternative that returns absolute volume estimates, growth metrics, and historical time series via the Model Context Protocol.

How does Trends MCP differ from pytrends?

pytrends is a Python library that scrapes the Google Trends website, returns only relative (0-100) interest scores, and is subject to rate limiting and breakage when Google changes its frontend. Trends MCP returns absolute volume estimates, supports multi-source queries across 15+ platforms in one call, and is designed for AI agents rather than Python scripts.

Can I get absolute Google Search volume, not just relative interest?

Yes. Trends MCP adds absolute query volume estimates alongside the normalized 0-100 signal. These are directionally accurate for trend analysis - suitable for comparing keyword momentum, not for ad campaign budgeting.

What does the JSON response look like?

A structured object with: keyword, source, normalized_value (0-100), absolute_volume_estimate, growth_pct (per period), time_series (array of date/value pairs), and data_quality_score.

Is there a rate limit?

Trends MCP operates within your plan's query limits. Unlike scraping pytrends, there are no IP-based rate limits or Google bot-detection issues to manage.

get_trends

get_growth

get_ranked_trends

get_top_trends

Common questions

Start building with live trend data

`get_trends`

`get_growth`

`get_ranked_trends`

`get_top_trends`