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sansan0/TrendRadar

sansan0 / TrendRadar

MCP ServersPythonGPL-3.0

AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts. 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker …

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2026-09-13last pushed
GPL-3.0license

What it is, and how people use it

AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts. 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker … It sits on the MCP Servers shelf of the catalog, maintained by @sansan0.

✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.
✓Read the SKILL.md / README first; most setups are one command from the docs.
✓Teams use it to standardise how agents behave across every repo in the org.
aibarkdata-analysisdockerhot-news
trendradar.sandev.cc

Why builders keep it installedMCP Servers benefits

Real tools, not role-play

An MCP server gives your agent typed access to a browser, database, chart engine or cloud account. It acts through the server instead of hallucinating what the API would have returned.

You decide what it can reach

Servers run on your machine or your cloud. Access is scoped per tool and can be cut mid-session, so credentials never live inside the model.

One server, every client

Cursor, Claude Desktop, Codex CLI and Windsurf all speak MCP. The config you write today keeps working when you switch editor or model.

Every action is auditable

Tool calls pass through the server, so you get a log of exactly what the agent read, wrote or clicked - the difference between a demo and something you'd run at work.

Contributorsloading from GitHub…

Languagesestimated from snapshot

  • Python 87.5%
  • Shell 12.5%

Community pulsesnapshot ratios, normalized

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