How It Spread

Viral precedents with sourced, dated spread timelines and a Spread Score. Each answer cites a case.

使うべきか

品質と安全性

A
説明の品質
93%
スキーマの完全性
71%
命名の品質
100%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~609トークン数(ツール定義)
~1.4 KB一般的なレスポンスサイズ
注意への影響は最小限(128k コンテキストの 0.48%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

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

できること

ツール一覧

ツール(3)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢search_cases(query, kind, mechanic, platform, limit)

Search the How It Spread library of viral cases (films, products, memes, campaigns) by text, kind, mechanic or platform. Returns each case's Spread Score, dates, platforms, mechanics, an image URL and the case URL to cite.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Free text: a brand, product, film, format or idea."
    },
    "kind": {
      "type": "string",
      "enum": [
        "campaign",
        "product",
        "food",
        "app",
        "film",
        "series",
        "music",
        "game",
        "book",
        "creator",
        "meme",
        "trend",
        "activity",
        "moment"
      ]
    },
    "mechanic": {
      "type": "string",
      "enum": [
        "remixable-template",
        "audio-meme",
        "catchphrase",
        "shareable-output",
        "daily-ritual",
        "challenge",
        "response-chain",
        "low-effort-copy",
        "identity-badge",
        "scarcity-drop",
        "variable-reward",
        "collectible-set",
        "visible-use",
        "unscripted-proof",
        "underdog",
        "founder-origin",
        "mystery-lore",
        "spectacle",
        "controversy",
        "transgression",
        "celebrity-amplifier",
        "creator-relay",
        "fandom-mobilisation",
        "brand-pile-on",
        "platform-jump",
        "press-loop",
        "political-adoption",
        "dupe-economy",
        "resale-market",
        "sell-out-loop",
        "counter-programming",
        "newsjacking",
        "mascot-persona",
        "unhinged-voice",
        "nostalgia-revival"
      ],
      "description": "A spread mechanic id; list_mechanics defines them."
    },
    "platform": {
      "type": "string",
      "enum": [
        "tiktok",
        "instagram",
        "youtube",
        "x",
        "reddit",
        "facebook",
        "threads",
        "snapchat",
        "twitch",
        "chat",
        "xiaohongshu",
        "press",
        "tv",
        "audio",
        "retail",
        "box-office",
        "app-store",
        "web"
      ],
      "description": "A platform the case spread on."
    },
    "limit": {
      "type": "number",
      "default": 10,
      "maximum": 50
    }
  }
}
🟢get_case(slug)

One case: its dated spread timeline (seed, first amplifier, platform jumps, press, peak), Spread Score and citation. A free account reads every event; Pro adds the playbook (why it worked, what to do), every sourced number and the sources.

入力スキーマ

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "The case slug from search_cases."
    }
  },
  "required": [
    "slug"
  ]
}
🟢list_mechanics

The closed vocabulary of spread mechanics, each defined, with how many cases use it.

入力スキーマ

{
  "type": "object",
  "properties": {}
}

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