The Model Context Protocol is an open standard that lets AI assistants connect to external tools, databases, and live data sources. Instead of being limited to their training data, AI tools that support MCP can call external servers mid-conversation to retrieve current information, run queries, and take actions. Trends MCP is one such server - giving any MCP-compatible AI instant access to live trend data.
Tools for this workflow
get_trendsAn example of MCP in action: your AI calls get_trends with a keyword and source, Trends MCP returns a normalized time series from Google, TikTok, or any of 15+ platforms, and your AI writes the analysis - all inside one conversation.
get_trends(keyword='model context protocol', source='google search', data_mode='weekly')
get_growthAsk your MCP-connected AI to compare topic growth across platforms - the AI calls get_growth, receives structured JSON with percent changes over 1M, 3M, 6M, and 1Y, and presents it as a readable briefing.
get_growth(keyword='model context protocol', source='google search, reddit', percent_growth=['3M', '1Y'])
get_ranked_trendsUse the MCP connection to surface what is growing fastest across an entire data source without specifying a keyword - your AI receives a ranked list and can summarize and contextualize it.
get_ranked_trends(source='google search', sort='wow_pct_change', limit=20)
get_top_trendsAsk your AI what is trending right now across TikTok, Google, or Reddit - MCP delivers the live feed directly into your conversation so your AI can narrate the current moment.
get_top_trends(type='Google Trends', limit=20)
FAQ