mentiondrop
AI-triaged brand, competitor and demand mentions from Reddit, Google News and search.
我该使用它吗
质量与安全性
发现（1）
- LOWTool 'get_competitor_signals' description lacks action verb在 get_competitor_signals 中
基于对工具定义和协议合规性的自动分析。
上下文开销
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": {
"mentiondrop": {
"url": "https://www.mentiondrop.com/api/mcp"
}
}
}远程端点
https://www.mentiondrop.com/api/mcpstreamable-http它能做什么
工具清单
工具（11）
🟢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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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".
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"mention_id": {
"type": "string"
},
"draft_intent": {
"type": "string",
"enum": [
"reply",
"outreach_email"
]
}
},
"required": [
"mention_id"
],
"additionalProperties": false
}社区
证据