mcp

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

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
93%
Qualität der Benennung
100%
Risiko der Vergiftung
40%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (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

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~970Tokens (Tool-Definitionen)
~1.5 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.76% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

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

Was es kann

Tool-Inventar

Tools (4)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢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}.

Eingabe-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}.

Eingabe-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}.

Eingabe-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.

Eingabe-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#"
}

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