mentiondrop

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

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Calidad y seguridad

A
Calidad de la descripción
97%
Integridad del esquema
72%
Calidad de los nombres
98%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (1)

  • LOWTool 'get_competitor_signals' description lacks action verben get_competitor_signals

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~1,519Tokens (definiciones de herramientas)
~728 BTamaño de respuesta típico
Impacto moderado en la atención (1.19% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

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

Puntos de conexión remotos

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

Qué puede hacer

Inventario de herramientas

Herramientas (11)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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".

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

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

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada11 herramientas
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verificadoversión no registrada11 herramientas