Investment watchlist trend monitoring via MCP

Keep a live pulse on every name in your coverage universe. Trends MCP lets your AI pull search demand growth, web traffic trajectory, news sentiment, and Reddit activity for your entire watchlist in one session - so you always know which names are seeing unusual signal activity before they move.

get_trends

Build a continuous trend monitor for every company on your watchlist - chart web traffic and branded search history to establish baselines and detect deviations early.

get_trends(keyword='shopify.com', source='webtraffic', data_mode='weekly')

get_growth

Run a full watchlist scan in one AI session: query web traffic, search demand, news sentiment, and Reddit discussion growth for each company and flag any that show unusual momentum.

get_growth(keyword='shopify', source='webtraffic, google search, news sentiment, reddit', percent_growth=['1M', '3M'])

get_ranked_trends

Rank your watchlist companies by consumer attention growth and sort by the period with the most recent acceleration - surfaces the names with the strongest momentum signals right now.

get_ranked_trends(entity_mode='companyCombined', sort='mom_pct_change', limit=30)

get_top_trends

Monitor news and Reddit in real time for breaking developments on any watchlist name - get_top_trends surfaces relevant news and community discussion before formal alerts.

get_top_trends(type='Google News RSS', limit=25)

Common questions

In a single AI session you can query each company in your watchlist sequentially, asking your AI to pull search demand, web traffic, news sentiment, and Reddit activity for each. You can ask your AI to summarize which names are showing the most notable signal changes, rank them by momentum, or flag any with unusual activity.
News sentiment and volume (for detecting breaking events or reputational shifts), web traffic trends (for tracking digital business momentum between earnings), Google Search interest (for brand awareness changes), and Reddit discussion volume (for community and retail sentiment shifts). Wikipedia page view spikes are particularly useful for early detection of emerging attention on a name.
Yes. If your AI client supports scheduled or recurring queries, you can set up a regular watchlist review. Ask your AI to pull the same set of signals for your watchlist weekly and compare to the prior week to surface meaningful changes.
Trends MCP sits on top of your existing AI assistant. You keep using Bloomberg or FactSet for fundamentals and price data. Trends MCP adds the behavioral layer - what consumers are searching for, what media is saying, and how community sentiment is moving - without requiring a separate tool or data vendor relationship.
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Free tier includes 100 requests per month. No credit card required. Works with Claude, Cursor, ChatGPT, Raycast, and every MCP client.
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