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Mon, July 610:00Open SourceMCP & SkillsOpen sourceAgents

TrendRadar: AI-Driven Multi-Platform Sentiment Monitoring & Trending Tool

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Decision Brief

What changedTrendRadar is an open-source AI tool for sentiment and trend monitoring across multiple platforms, RSS feeds, and smart alerts.
Why it mattersIt supports MCP architecture and various notification channels, enabling developers to integrate it into AI agents or workflows for automated sentiment analysis.
Who should careOpen-source model users, Agent builders
Affected stackMCP
Builder actionCheck whether your existing MCP servers are affected
Source confidenceHigh · Official release / blog / repo

TrendRadar (Python) by sansan0 has 60,270 stars on GitHub (+234 in 7 days). Core features: multi-platform trend aggregation (social media, news, etc.), RSS subscriptions, precise keyword filtering; AI-driven news screening, translation, and report pushes to mobile. Supports MCP architecture for natural language dialogue, sentiment insights, and trend prediction. Docker deployment enables local or cloud data control. Integrates with WeChat, Feishu, DingTalk, Telegram, email, ntfy, Bark, Slack, etc. For developers needing real-time monitoring, TrendRadar offers an all-in-one solution, especially for integrating into existing AI workflows with MCP for natural language queries. Local deployment also suits privacy-sensitive teams.

Summary basis: official / RSS sourceCompiled from the source scope noted above; the original remains authoritative.

Sources

  • Skill Radar（GitHub 趨勢）

    Trending hands-on MCP servers, agent skills, and AI-coding tools discovered from GitHub search momentum.

  • GitHub：sansan0/TrendRadar

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