mcp
Live AI trend radar: trending AI topics, why-trending signals, daily digests. No API key.
我该使用它吗
质量与安全性
发现(4)
- HIGH
- MEDIUM在 get_daily_digest 中
- MEDIUM在 list_trends 中
- MEDIUM在 get_topic 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中:
{
"mcpServers": {
"mcp": {
"url": "https://buzzradr.com/api/mcp"
}
}
}远程端点
https://buzzradr.com/api/mcpstreamable-http它能做什么
工具清单
工具(4)
🟢get_daily_digest(vertical, locale)
Return the top ~12 trending topics for a vertical as a daily briefing. Use this when the user asks "what is trending today", "what is the AI news today", or wants a quick roundup. Each topic includes a title, AI summary, why-it-matters reason, a one-line "why this one" judgement (aiWhy; absent when none was generated), composite ranking score, platforms, keywords, trusted-source count, and its top items. The score combines source, coverage, engagement and freshness signals; it is not 24-hour discussion heat. locale="zh" opts into Chinese summaries (default English). Read the full topic at https://buzzradr.com/ai/{topicId}.
输入模式
{
"type": "object",
"properties": {
"vertical": {
"description": "Topic vertical to read. Defaults to \"ai\" (the flagship AI-news radar).",
"type": "string",
"enum": [
"ai",
"jobs",
"world-cup-2026",
"finance",
"real-estate"
]
},
"locale": {
"description": "Summary and aiWhy language: \"en\" (default) or \"zh\".",
"type": "string",
"enum": [
"en",
"zh"
]
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_trends(vertical, keywords, platforms, sort, limit, ...)
Search and list trending topics for a vertical with optional filters. Use this to answer "what is happening with <keyword>", to filter by platform, or to pull a ranked list. keywords/platforms narrow the results; sort="hot" (default) ranks by composite ranking score, sort="time" by recency; limit is 1-50 (default 20); locale="zh" opts into Chinese summaries (default English). Read a topic at https://buzzradr.com/ai/{topicId}.
输入模式
{
"type": "object",
"properties": {
"vertical": {
"description": "Topic vertical to read. Defaults to \"ai\" (the flagship AI-news radar).",
"type": "string",
"enum": [
"ai",
"jobs",
"world-cup-2026",
"finance",
"real-estate"
]
},
"keywords": {
"description": "Case-insensitive keyword filter; any match keeps a topic.",
"type": "array",
"items": {
"type": "string"
}
},
"platforms": {
"description": "Platform filter, e.g. [\"x\",\"reddit\",\"hackernews\"].",
"type": "array",
"items": {
"type": "string"
}
},
"sort": {
"description": "Ranking: \"hot\" by composite ranking score (default), not 24-hour discussion heat; or \"time\" by recency.",
"type": "string",
"enum": [
"hot",
"time"
]
},
"limit": {
"description": "Maximum topics to return (1-50, default 20).",
"type": "integer",
"minimum": 1,
"maximum": 50
},
"locale": {
"description": "Summary and aiWhy language: \"en\" (default) or \"zh\".",
"type": "string",
"enum": [
"en",
"zh"
]
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_topic(topicId, vertical, locale)
Fetch one trending topic by its topicId (as returned by get_daily_digest / list_trends). Use this to drill into a specific story. Returns "topic not found" if the id is unknown or the topic no longer clears the public quality gate. locale="zh" opts into Chinese summaries (default English). Topic page: https://buzzradr.com/ai/{topicId}.
输入模式
{
"type": "object",
"properties": {
"topicId": {
"description": "The topic id, e.g. \"ai_topic_ugfymp\".",
"type": "string"
},
"vertical": {
"description": "Topic vertical to read. Defaults to \"ai\" (the flagship AI-news radar).",
"type": "string",
"enum": [
"ai",
"jobs",
"world-cup-2026",
"finance",
"real-estate"
]
},
"locale": {
"description": "Summary and aiWhy language: \"en\" (default) or \"zh\".",
"type": "string",
"enum": [
"en",
"zh"
]
}
},
"required": [
"topicId"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_source_health(vertical)
Report the ingestion sources behind a vertical and their health: status, last fetch time, accepted/filtered item counts, and any public message. Use this to check data freshness or which platforms feed the radar.
输入模式
{
"type": "object",
"properties": {
"vertical": {
"description": "Topic vertical to read. Defaults to \"ai\" (the flagship AI-news radar).",
"type": "string",
"enum": [
"ai",
"jobs",
"world-cup-2026",
"finance",
"real-estate"
]
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}社区
证据