mentiondrop
AI-triaged brand, competitor and demand mentions from Reddit, Google News and search.
사용해야 할까요
품질 및 안전성
발견 사항 (1)
- LOWTool 'get_competitor_signals' description lacks action verbget_competitor_signals에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"mentiondrop": {
"url": "https://www.mentiondrop.com/api/mcp"
}
}
}원격 엔드포인트
https://www.mentiondrop.com/api/mcpstreamable-http할 수 있는 일
도구 목록
도구 (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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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".
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {
"mention_id": {
"type": "string"
},
"draft_intent": {
"type": "string",
"enum": [
"reply",
"outreach_email"
]
}
},
"required": [
"mention_id"
],
"additionalProperties": false
}커뮤니티
증거