Search trend API for developers

A search trend API designed from the ground up for AI agents and developers. Unlike fragile web scrapers or Google's unofficial pytrends library, Trends MCP provides a stable, normalized, MCP-native interface to search trend data across Google, YouTube, Amazon, and 9 more sources.

Tools for this workflow

`get_trends`

Pull structured search trend data for any keyword - Google Search, YouTube, Amazon, and Google Shopping all return normalized volume and time series in the same format for easy comparison.

get_trends(keyword='electric scooter', source='google search', data_mode='weekly')

`get_growth`

Compute search trend growth across multiple search surfaces in one call - Google Search, YouTube, and Amazon search all reflect different stages of the consumer journey and can be queried together.

get_growth(keyword='electric scooter', source='google search, youtube, amazon', percent_growth=['3M', '6M', '1Y'])

`get_ranked_trends`

Get the fastest-growing search terms on any platform right now - filter by minimum volume to exclude low-traffic noise and return only high-signal rising queries.

get_ranked_trends(source='google search', sort='wow_pct_change', min_volume=1000, limit=30)

`get_top_trends`

Pull live trending search queries from Google Trends right now - the fastest way to see what people are suddenly searching for across categories without a keyword.

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

FAQ

Common questions

What does the search trend API return?

For each query: normalized interest values (0-100), absolute volume estimates, week-by-week or month-by-month time series, growth percentages, and data quality scores. All returned as structured JSON compatible with any AI agent tool-calling interface.

Is it MCP-native or a REST API?

Trends MCP is delivered as a Model Context Protocol server, which means AI agents connect to it directly using the MCP standard. For direct REST access, the underlying API endpoint is also available at api.trendsmcp.ai.

How reliable is the data compared to pytrends?

pytrends scrapes the Google Trends website and breaks whenever Google changes its frontend. Trends MCP uses a managed data pipeline with built-in retries, rate-limit handling, and fallback sources. It is designed for production AI agent use, not one-off scripts.

Can I use this for programmatic SEO content generation?

Yes. Many teams use Trends MCP to feed their AI writing workflows with live keyword trend data - identifying growing topics before writing about them and validating content angles with real search momentum data.

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`