TrendRadar
VerifiedAI-driven public opinion monitor with multi-platform aggregation and smart alerts.
What is the TrendRadar MCP server?
TrendRadar is a lightweight Docker-deployable service that collects headlines from dozens of Chinese and international sources, applies keyword rules and AI scoring, then delivers concise digests. It supports local or cloud storage and integrates with popular notification platforms so users receive only the stories that match their interests.
When connected via the Model Context Protocol, the server lets LLM clients ask questions about current trends, request sentiment breakdowns, or generate predictive summaries without leaving the conversation. All processing can stay on-premise, giving users control over data retention and API usage.
Install & connect
Add this to your MCP client config. Pick your client below and copy.
{
"mcpServers": {
"TrendRadar": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/inspector"
]
}
}
}Package: @modelcontextprotocol/inspector (npm)
Other ways to install
npx
npx -y @modelcontextprotocol/inspectorDocker
docker run -d \Example prompts
Once connected, try asking your AI client:
Security & permissions
Runs locally via stdio; requires only the environment variables for notification channels and optional API keys for AI translation or analysis.
What you can do with TrendRadar
Daily briefing
Receive a personalized morning digest of the top stories matching your keywords, translated and summarized by AI.
Sentiment tracking
Ask the MCP client to analyze public reaction to a topic across platforms and return a concise sentiment report.
Cross-platform alerts
Configure rules so breaking news on any monitored site is instantly pushed to WeChat, Telegram or email.
How to use TrendRadar
- 1Clone the repository and copy the example configuration file.
- 2Edit config.yaml to set keywords, RSS sources, and notification tokens.
- 3Build or pull the Docker image and start the container with stdio transport.
- 4Add the server to your MCP client configuration using the stdio command.
- 5Test connectivity by asking the client to list current trends.
TrendRadar: pros & cons
Pros
- +Fast Docker deployment and extensive notification integrations
- +Strong Chinese-language news coverage plus RSS flexibility
- +MCP interface enables natural-language trend queries inside any client
- +Local data option reduces reliance on external services
Cons
- –Tool definitions are not yet documented in the public README
- –Primarily focused on Chinese platforms; English coverage is lighter
- –Requires manual configuration of many notification tokens
Frequently asked questions
AI features work with any compatible endpoint; an OpenAI key is optional.
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