TrendRadar
An AI-driven tool for sentiment monitoring and trend analysis, supporting multi-platform aggregation, RSS subscription, and intelligent notifications.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 59.8k
- Source
- mcp-github
- Repository
- github.com/sansan0/TrendRadar
Overview
TrendRadar is an AI-powered sentiment monitoring assistant that aggregates trending topics across multiple platforms and provides RSS subscriptions. It supports keyword filtering and uses AI to intelligently screen news, translate content, and generate analytical briefings. TrendRadar supports the MCP architecture, enabling AI to deliver natural language conversation analysis, sentiment insights, and trend forecasting. It can be deployed via Docker, with data stored locally or in the cloud. Integrated notification channels include WeChat, Feishu, DingTalk, Telegram, and more.
Capabilities
- ▪Multi-platform trend aggregation
- ▪RSS subscription support
- ▪Precise keyword filtering
- ▪AI-powered news screening
- ▪AI translation
- ▪AI-generated analytical briefings
Use cases
Setup
Deploy using Docker: `docker run -d --name trendradar wantcat/trendradar`
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I configure notification channels?
Set the corresponding notification channel parameters in the configuration file.
Does it support custom keywords?
Yes, custom keywords are supported for precise filtering.
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