TrendRadar
MCP Serversansan0/TrendRadar
TrendRadar is a rapid-deployment trend and news aggregation assistant that filters, translates, and analyzes hot topics from multiple platforms using AI. It pushes summarized insights directly to various notification channels.
Overview
TrendRadar functions as a lightweight news and trend monitoring system designed for fast setup within thirty seconds. It integrates with multiple RSS and news platforms, applies AI-driven filtering and translation pipelines, and supports MCP (Model Context Protocol). Users can automatically dispatch curated news digests or AI-processed briefings across numerous messaging platforms such as WeChat, Telegram, Slack, and Feishu.
Capabilities
- ▸Multi-platform news aggregation
- ▸AI-powered content filtering and summarization
- ▸Multi-language batch translation
- ▸Cross-platform notification dispatch (WeChat, Telegram, Slack, Feishu, etc.)
- ▸MCP client support
Best for
Monitoring multi-platform trending topics and hot news feeds, Automating AI-filtered and translated news summaries to team chat applications, Integrating real-time trend analysis into AI workflows via Model Context Protocol (MCP)
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Requires handling external API keys for LLM providers and webhook secrets for chat channels. Ensure environment variables are kept secure.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.