"Trend Micro" matching MCP servers:

Live trend data for your AI. 25+ platforms. One connection.

Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.

Provides Steam player trend data including concurrent player counts, growth rates, and ranked trends for tracking game popularity and momentum.

This MCP server provides Wikipedia page view trend data, enabling AI to detect spikes, view historical traffic, and compare cross-platform trends to gauge public curiosity.

Enables AI assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.

Enables any existing API to become a pay-per-call service for agents by issuing HTTP 402 payment requests and settling USDC payments via CDP, while exposing MCP tools that charge per call and support Bazaar discovery.

Generate styled QR codes, manage dynamic short links with click analytics, and publish micro-landing pages via AI agents.

Converts Figma designs into production-ready React components with design token extraction, widget registry integration, and micro-frontend module generation.

Provides hosted trend data MCP server for querying Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and 30+ trend sources in natural language from any MCP-compatible AI.

Scans Binance USDT markets to detect coins with sustained extensive 24-hour movements, provides detailed coin analysis, and lists active trading pairs.

Provides Wikipedia page view trend data including spike detection, historical traffic, and cross-platform comparison, enabling AI to access a leading indicator of public curiosity.

Provides weekly download counts and trend data for npm packages, enabling comparison of adoption velocity across JavaScript libraries.

An MCP server that exposes Wikipedia page view trends as clean JSON, providing normalized 0-100 trend scores, growth rates over 3M/6M/12M/5Y windows, and live most-viewed article feeds, comparable across 15 sources including Google, YouTube, and TikTok.

Provides TikTok hashtag trend data including volume growth, viral spikes, and historical time series, enabling AI assistants to spot emerging trends before they go mainstream.

Provides Google Search trend data as an MCP tool, with historical series, growth percentages, and live trending searches, no scraping or rate limits.

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI.

MCP server that connects to a WhatsHot Backend over HTTP to provide hot topic discovery, trend analysis, and historical data tools such as current hotlists, trend series, and event analysis.

Provides real-time search intelligence including keyword suggestions with intent clustering, emerging trend detection, SERP analysis, and clean content extraction, all without requiring API keys.

Provides live trend intelligence tools such as trend analysis, virality scoring, opportunity ranking, and content briefs, powered by the Lolik API.

Provides a set of micro-tools (time calculation, regex, encoding, JSON diff, etc.) for LLM agents to handle deterministic, precision tasks that models often get wrong.