Comms teams search for ways to watch spikes in mentions, sentiment, and related queries the moment a story breaks. Trends MCP pairs news volume and sentiment with Google Search and live news leaderboards so assistants can summarize velocity while humans handle judgment calls.
Queries blend "media monitoring API," "news sentiment tracking," and "brand crisis dashboard." Ranked articles often emphasize real-time alerts and multi-channel coverage. Trends MCP addresses the slice that needs quantitative trend lines inside AI chat: fast pulls, small JSON payloads, and explicit dates on every point.
Start with get_growth on news volume for the brand and the specific incident phrase. Add news sentiment on the same keyword if the question is about tone. If search behavior matters, run get_trends on Google Search for the plain-language queries reporters use. Use get_top_trends on Google News Top News when the team wants the raw leaderboard for manual spot checks.
Structured data reduces guesswork but does not replace legal, HR, or exec review. When volume jumps, verify whether the spike is one outlet syndicating widely versus many independent publishers. Mention data gaps when the API returns data_unavailable so downstream messaging stays cautious.
Agency users can embed the same API calls into shared Slack or Teams bots via their orchestration layer. Executive briefs benefit from one chart of news volume and one line on search growth instead of ten screenshots. Anchor every bullet to the retrieval date.
Tools for this workflow
get_trendsPlot news volume or sentiment over weeks to show whether a spike is sustained or a one-day blip.
get_trends(keyword='acme corp recall', source='news volume')
get_growthCompare 7D and 30D growth on news volume after a statement drops to quantify acceleration.
get_growth(keyword='acme corp recall', source='news volume', percent_growth=['7D', '30D'])
get_top_trendsPull Google News Top News or Reddit World News when the team needs the current leaderboard without manual curation.
get_top_trends(type='Google News Top News', limit=20)
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