$ loading_
Aggregates trending news in real time with AI analysis and multi-channel alerts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TrendRadar" yet — see the docs or source repo.
Continuously monitor real-time news about AI industry trends, filter by importance, and send alerts.
Returns news summaries, filtered results, and alert notifications.
Monitor news about a competitor and keep only highly relevant, high-impact items.
Produces a curated list of competitor-related news.
Set up news alerts for the research topics I care about and notify me when new trends appear.
Sends multi-channel alerts when new trends emerge.
Marketers can use it to aggregate real-time news and filter it with AI when they need fast visibility into industry buzz and sentiment shifts. It turns noisy streams into actionable alerts.
Researchers can use it to continuously collect and analyze news for a topic or domain. It helps surface new trends faster.
Product managers can use it to keep track of competitors, the market, and related changes at once. Real-time aggregation and notifications help them adjust decisions quickly.
It is an MCP server for real-time trending news aggregation, AI-based analysis and filtering, and multi-channel notifications.
It is suitable for users who need ongoing tracking of trends, competitors, or industry changes, such as marketing, research, and product roles.
Its core capabilities are real-time news aggregation, AI analysis and filtering, and multi-channel alert delivery. See the source repository for more details.
Aggregate hot news with AI analysis and multilingual push delivery.
Deploy a trending news assistant with AI analysis and multi-channel alerts.
Monitor cross-platform trends, filter signals, and receive AI-analyzed briefings.
Aggregate cross-platform trend data to spot topics and guide decisions.
Aggregate live news, generate summaries, and analyze sentiment and trends.
Aggregate trending content across 27+ platforms to spot opportunities in real time.