Investor relations, communications, and equity research workflows often need the same question answered fast: how did attention move across search, news, Wikipedia, and social after a release? Trends MCP routes those checks through MCP tools or REST with one key.
Earnings, M&A, product launches, and leadership transitions produce parallel spikes across channels. Teams search for IR monitoring tools, crisis monitoring MCP workflows, and sentiment APIs because each channel used to require a different login. Trends MCP narrows the integration surface: one Authorization header, many source strings.
Call get_top_trends on Google News Top News if the desk needs the wire-level leaderboard. Follow with get_growth on news volume for the company name using short windows such as 7D and 30D plus YTD for context. Add news sentiment if the story could be read bullish or bearish depending on headline choice. If retail traders might dominate, add Google Search on the ticker or brand. Wikipedia matters most for household names where reference lookups surge.
A jump in Google Search after an announcement shows attention moved in search. Layer fundamentals and management commentary before treating that curve as conviction. Write that discipline into internal templates so client-facing decks stay accurate. Trends MCP works best when teams separate the data pull from the thesis paragraph.
IR teams should bookmark the dedicated IR monitoring page. Communications groups comparing peers should pair this page with competitor tracking. Deep dives on sentiment fields belong on the news sentiment data reference.
Tools for this workflow
get_trendsPlot Google News search interest for the company name across the week of an earnings print.
get_trends(keyword='Example Corp', source='google news')get_growthMeasure YTD and 3M growth in news volume for a ticker keyword set ahead of shareholder meetings.
get_growth(keyword='Example Corp', source='news volume', percent_growth=['3M', 'YTD'])get_top_trendsCapture X trending topics when social desks need a same-hour snapshot alongside market headlines.
get_top_trends(type='X (Twitter) Trending', limit=20)FAQ