mentiondrop

AI-triaged brand, competitor and demand mentions from Reddit, Google News and search.

使うべきか

品質と安全性

A
説明の品質
97%
スキーマの完全性
72%
命名の品質
98%
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%

検出事項(1)

  • LOWTool 'get_competitor_signals' description lacks action verbget_competitor_signals 内

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

~1,519トークン数(ツール定義)
~728 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 1.19%)

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": {
    "mentiondrop": {
      "url": "https://www.mentiondrop.com/api/mcp"
    }
  }
}

リモートエンドポイント

https://www.mentiondrop.com/api/mcpstreamable-http

できること

ツール一覧

ツール(11)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢list_keywords

List every keyword this MentionDrop account monitors, with its id, role (own_brand, competitor, or industry), and active state. Call this first to discover the keyword ids and role names the other tools accept.

入力スキーマ

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟡create_keyword(keyword, role, context)

Start monitoring a new keyword for this account. Takes an optional role (own_brand, competitor, or industry) and a short context string that sharpens relevance scoring. Enforces the account plan keyword limit and rejects keywords too generic to produce signal.

入力スキーマ

{
  "type": "object",
  "properties": {
    "keyword": {
      "type": "string",
      "minLength": 2,
      "maxLength": 100
    },
    "role": {
      "type": "string",
      "enum": [
        "own_brand",
        "competitor",
        "industry"
      ]
    },
    "context": {
      "type": "string",
      "maxLength": 300
    }
  },
  "required": [
    "keyword"
  ],
  "additionalProperties": false
}
🟡update_keyword(id, is_active, context, role, excluded_content_types, ...)

Update one existing monitored keyword by id: change its role, context, active state, minimum relevance threshold, excluded content types, or exclusion terms. Use list_keywords to find the id. Pausing a keyword sets is_active to false rather than deleting it.

入力スキーマ

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "is_active": {
      "type": "boolean"
    },
    "context": {
      "type": [
        "string",
        "null"
      ]
    },
    "role": {
      "type": "string",
      "enum": [
        "own_brand",
        "competitor",
        "industry"
      ]
    },
    "excluded_content_types": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "exclusion_terms": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "min_relevance": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}
🟢get_recent_mentions(role, keyword, source, sentiment, from, ...)

Return the most recent mentions matched for this account, newest first, each with its AI summary, sentiment, relevance score, and suggested action. Filter by keyword role, specific keyword, source, sentiment, and date range. Use this to answer "what came in lately".

入力スキーマ

{
  "type": "object",
  "properties": {
    "role": {
      "type": "string",
      "enum": [
        "own_brand",
        "competitor",
        "industry"
      ]
    },
    "keyword": {
      "type": "string"
    },
    "source": {
      "type": "string",
      "enum": [
        "firehose",
        "reddit",
        "brave",
        "google_news",
        "serper",
        "hackernews",
        "adzuna"
      ]
    },
    "sentiment": {
      "type": "string",
      "enum": [
        "positive",
        "neutral",
        "negative"
      ]
    },
    "from": {
      "type": "string"
    },
    "to": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "minimum": 1,
      "maximum": 50
    }
  },
  "additionalProperties": false
}
🟢search_mentions(query, role, keyword, source, sentiment, ...)

Find mentions whose title, summary, URL, suggested action, or matched keyword contain every word in the query. Use this to look for a specific topic, product, or phrase rather than a plain time window.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "role": {
      "type": "string",
      "enum": [
        "own_brand",
        "competitor",
        "industry"
      ]
    },
    "keyword": {
      "type": "string"
    },
    "source": {
      "type": "string",
      "enum": [
        "firehose",
        "reddit",
        "brave",
        "google_news",
        "serper",
        "hackernews",
        "adzuna"
      ]
    },
    "sentiment": {
      "type": "string",
      "enum": [
        "positive",
        "neutral",
        "negative"
      ]
    },
    "from": {
      "type": "string"
    },
    "to": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_competitor_signals(competitor, from, to, limit)

Return recent mentions matched by competitor-role keywords, optionally narrowed to a single competitor name. Use this to see what people are publicly saying about rival products.

入力スキーマ

{
  "type": "object",
  "properties": {
    "competitor": {
      "type": "string"
    },
    "from": {
      "type": "string"
    },
    "to": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "minimum": 1,
      "maximum": 50
    }
  },
  "additionalProperties": false
}
🟢get_pain_signals(keyword, from, to, limit)

Return recent industry-role mentions that read as demand or pain signals, meaning they carry a suggested action or score at least 80 for relevance. Use this to find people publicly describing a problem the product solves.

入力スキーマ

{
  "type": "object",
  "properties": {
    "keyword": {
      "type": "string"
    },
    "from": {
      "type": "string"
    },
    "to": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "minimum": 1,
      "maximum": 50
    }
  },
  "additionalProperties": false
}
🟢get_digest(from, to, limit)

Return one grouped catch-up brief of recent mentions, split into owned brand mentions, competitor signals, demand signals, and conversations worth replying to. Use this when a single summary is wanted instead of separate queries.

入力スキーマ

{
  "type": "object",
  "properties": {
    "from": {
      "type": "string"
    },
    "to": {
      "type": "string"
    },
    "limit": {
      "type": "number",
      "minimum": 1,
      "maximum": 50
    }
  },
  "additionalProperties": false
}
🟢get_mention(id)

Fetch one mention by id with its full record: title, AI summary, sentiment, relevance score, suggested action, source, and matched keyword. Only returns mentions owned by this account.

入力スキーマ

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}
⚪mark_mention_reviewed(id, verdict)

Record a review verdict on one mention as relevant or not_relevant. This feedback tunes how future mentions are scored for the account. Re-sending the same verdict is safe.

入力スキーマ

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "verdict": {
      "type": "string",
      "enum": [
        "relevant",
        "not_relevant"
      ]
    }
  },
  "required": [
    "id",
    "verdict"
  ],
  "additionalProperties": false
}
⚪generate_reply_draft(mention_id, draft_intent)

Generate a draft reply or outreach email for one processed mention. Returns draft text for a human to review and never posts, sends, or publishes anything.

入力スキーマ

{
  "type": "object",
  "properties": {
    "mention_id": {
      "type": "string"
    },
    "draft_intent": {
      "type": "string",
      "enum": [
        "reply",
        "outreach_email"
      ]
    }
  },
  "required": [
    "mention_id"
  ],
  "additionalProperties": false
}

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