Paid media planning with live trend data inside the AI stack

Media buyers and growth marketers often plan spend from static keyword lists and last quarter's benchmarks. Trends MCP lets an AI assistant pull live demand curves from Google Search, YouTube, TikTok, Amazon, and news volume so bids, creatives, and budget shifts follow what is heating up now.

Why static media plans miss turning demand

Search volume reports and platform exports describe the past. When a category jumps on TikTok or YouTube first, teams that only refresh keywords monthly fund the wrong angles. Trends MCP connects through the Model Context Protocol so Claude, ChatGPT, Cursor, and other MCP clients can call get_trends, get_growth, get_ranked_trends, and get_top_trends against the same normalized pipeline used across Google, social, commerce, and news sources.

How an AI assistant fits into paid media workflows

The assistant already holds brand rules, audience notes, and channel constraints. After the server is configured with the hosted endpoint and a bearer key from trendsmcp.ai, natural-language requests turn into structured pulls. A media lead can ask for three-month growth on a list of SKUs across Amazon and Google Shopping, or compare YouTube versus Google Search for the same phrase before shifting budget to video.

What to query before scaling spend

Pair category keywords with get_growth and source='google search, youtube, tiktok' to see whether interest is broad or concentrated in one channel. Use Amazon search trends style queries when the goal is conversion-heavy prospecting. When reputation or news risk matters, add news volume checks so the AI flags rising coverage before spend locks.

Where this sits next to keyword tools

Traditional SEO suites focus on difficulty, SERP features, and rank tracking. Trends MCP emphasizes trajectory and cross-platform shape of demand, which helps paid teams decide when to launch, when to refresh creative, and which platforms deserve the next test. Many teams still export from their ad platforms; the MCP path keeps that data inside the same conversation as copy and audience drafts.

Getting started

Request a free API key on trendsmcp.ai, add the HTTP MCP server URL to the client config, and prompt the model to call the tools by name. Full request shapes for the REST surface live in the API reference.

get_trends

Plot weekly or daily demand for a campaign theme before locking flight dates.

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

get_growth

Score a set of product or geo keywords by 1M, 3M, and 12M growth across search, video, and commerce.

get_growth(keyword='electric bike', source='all', percent_growth=['1M', '3M', '12M'])

get_ranked_trends

Surface fast-rising queries in a category to inspire new ad groups or creative hooks.

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

get_top_trends

See what is trending right now on a given feed when intraday context matters for social or newsjacking.

get_top_trends(type='TikTok Trending Hashtags', limit=25)

Common questions

Campaign briefs and keyword plans go stale within days when a topic spikes on TikTok or YouTube before it shows up in last month's search reports. An MCP connection lets the same assistant that writes copy or builds audiences also fetch normalized growth across platforms in one session, so pacing and creative angles stay aligned with live demand.
Google Search and Google Shopping show high-intent queries and purchase-oriented interest. YouTube and TikTok show how demand is moving in video and short-form discovery. Amazon product search isolates buyers who are close to checkout. News volume and sentiment help when brands need to pause or lean into coverage-heavy moments.
Yes. A typical pattern is to pass a short list of product names or category phrases into get_growth with source set to comma-separated platforms or to all. The response ranks period-over-period change so the assistant can recommend where to test budget first.
No. Planner and Meta remain the systems of record for bids, audiences, and delivery. Trends MCP supplies cross-platform momentum and historical curves that those UIs do not expose in a single API shaped for agents, which helps the AI reason about timing and message, not replace ad platform controls.
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