"Trend Micro" matching MCP servers:

Provides semantic search and knowledge base management for the micro-app micro-frontend framework by ingesting its source code and documentation.

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

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 agents to query live trend data and historical search volume across 30+ platforms like Google, TikTok, YouTube, Amazon, and Reddit, including growth comparisons and top-ranking trends.

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

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.

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.

MCP server for trend-pulse, an agentic trend intelligence platform that fetches and analyzes trending topics from 37 sources, provides search, historical data, and lifecycle prediction via 29 tools.

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 GitHub open-source intelligence via MCP tools for discovering trends, evaluating repository health, comparing projects, and analyzing users, issues, and releases. It includes a CLI and can be used with AI assistants like Claude or Cursor.

Provides access to Google Trends search interest data with backtesting support, allowing retrieval of historical 30-day trend windows ending at specified cutoff dates for forecasting applications without future information leakage.

Enables AI assistants to query Amazon search volume trends and growth signals for product research and consumer purchase intent analysis.

Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.

MCP server that integrates Google News and Google Trends, enabling AI models to fetch news, analyze search interest, calculate growth rates, and summarize articles.

A stateless MCP server for UI/UX design inspiration, live component discovery, and modern web micro-effects, resolving queries in real time via the Serper API.