mentiondrop
AI-triaged brand, competitor and demand mentions from Reddit, Google News and search.
我該用這個嗎
品質與安全性
發現項目（1）
- LOWTool 'get_competitor_signals' description lacks action verb在 get_competitor_signals 中
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"mentiondrop": {
"url": "https://www.mentiondrop.com/api/mcp"
}
}
}遠端端點
https://www.mentiondrop.com/api/mcpstreamable-http它能做什麼
工具清單
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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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".
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"type": "object",
"properties": {
"mention_id": {
"type": "string"
},
"draft_intent": {
"type": "string",
"enum": [
"reply",
"outreach_email"
]
}
},
"required": [
"mention_id"
],
"additionalProperties": false
}社群
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