social-pulse

Real-time Reddit + Hacker News sensing: trending, mention velocity, sentiment, emerging terms.

我该使用它吗

质量与安全性

B
描述质量
100%
模式完整度
95%
命名质量
80%
投毒风险
40%
权限匹配度
100%
协议合规性
100%

发现(4)

  • HIGHTool poisoning patterns detected
  • INFOTool description contains placeholder or incomplete text在 trending_topics 中
  • INFOTool description contains placeholder or incomplete text在 mention_pulse 中
  • INFOTool description contains placeholder or incomplete text在 whats_being_said 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~651token 数(工具定义)
~890 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.51%)

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": {
    "social-pulse": {
      "url": "https://social.dropwatchhq.com/mcp"
    }
  }
}

远程端点

https://social.dropwatchhq.com/mcpstreamable-http

它能做什么

工具清单

工具(4)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢trending_topics(subreddit, limit)

What is SURGING on Reddit + Hacker News right now. Returns a ranked list of terms/topics by real-time momentum (recency-weighted engagement across newest posts), scoped to a subreddit or overall. Use to answer 'what's trending on r/<x>' / 'what is the internet talking about today'. Live data from Arctic Shift (Reddit) + HN Algolia — no stale snapshot.

输入模式

{
  "type": "object",
  "properties": {
    "subreddit": {
      "type": "string",
      "description": "Limit to one subreddit, e.g. 'wallstreetbets' or 'r/SaaS'. Omit for overall (Reddit + HN)."
    },
    "limit": {
      "type": "number",
      "description": "Max trending terms (default 15)."
    }
  }
}
🟢mention_pulse(term, days, subreddit)

Mention COUNT + VELOCITY + SENTIMENT for a term, ticker ($AAPL), brand, or product across Reddit + Hacker News over a time window. Returns total mentions, day-by-day buckets, a velocity (rising/falling) signal, lexical sentiment breakdown, and the top posts. Use for brand-watch, ticker-buzz, product-launch tracking, or trend-confirmation. Live data.

输入模式

{
  "type": "object",
  "properties": {
    "term": {
      "type": "string",
      "description": "The term/ticker/brand/product to track, e.g. 'Claude', '$NVDA', 'Notion'."
    },
    "days": {
      "type": "number",
      "description": "Look-back window in days (default 7, max ~30)."
    },
    "subreddit": {
      "type": "string",
      "description": "Optional: restrict the Reddit side to one subreddit."
    }
  },
  "required": [
    "term"
  ]
}
🟡whats_being_said(query, days, subreddit, limit)

Top recent posts and the dominant discussion THEMES for a query across Reddit + Hacker News. Use to quickly understand 'what are people saying about X' — the actual posts plus the co-occurring themes/angles. Each post carries score, comments, sentiment and a link. Live data.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "What to look up, e.g. 'vision pro returns' or 'rust vs go'."
    },
    "days": {
      "type": "number",
      "description": "Look-back window in days (default 14)."
    },
    "subreddit": {
      "type": "string",
      "description": "Optional: restrict the Reddit side to one subreddit."
    },
    "limit": {
      "type": "number",
      "description": "Max posts (default 12)."
    }
  },
  "required": [
    "query"
  ]
}
⚪emerging_terms(days, limit)

Newly FIRST-APPEARING terms from our rolling novelty ledger (Reddit/HN newest posts + the 24/7 idea_intel loop). Surfaces words/phrases/tickers we just started seeing — early-signal detection for new products, memes, projects, or narratives. Each row carries a first_seen date + sample.

输入模式

{
  "type": "object",
  "properties": {
    "days": {
      "type": "number",
      "description": "Only terms first seen within N days (default 14)."
    },
    "limit": {
      "type": "number",
      "description": "Max terms (default 25)."
    }
  }
}

社区

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证据

最近观测

已验证未记录版本4 个工具
已验证未记录版本4 个工具
已验证未记录版本4 个工具