mcp

Live AI trend radar: trending AI topics, why-trending signals, daily digests. No API key.

Should I use this

Quality & Safety

B
Description quality
100%
Schema completeness
93%
Naming quality
100%
Poisoning risk
40%
Permission match
100%
Protocol compliance
100%

Findings (4)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domainin get_daily_digest
  • MEDIUMTool description contains URL to non-standard domainin list_trends
  • MEDIUMTool description contains URL to non-standard domainin get_topic

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~970Tokens (tool definitions)
~1.5 KBTypical response size
Moderate attention impact (0.76% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "mcp": {
      "url": "https://buzzradr.com/api/mcp"
    }
  }
}

Remote endpoints

https://buzzradr.com/api/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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}.

Input Schema

{
  "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}.

Input Schema

{
  "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}.

Input Schema

{
  "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.

Input Schema

{
  "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#"
}

Community

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Evidence

Recent observations

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