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MCP 服务器

mentiondrop

com.mentiondrop/mentiondrop
营销与广告 搜索与研究 社交媒体 公开且可连接 MCP 2026-07-28

此 MCP 可以做什么

Monitors brand, competitor, and industry mentions from Reddit, Google News, and search, then provides sentiment and relevance analysis, digests, feedback, and human-reviewed reply drafts.

功能

工具

11 工具
create_keyword
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', 'required': ['keyword'], 'properties': {'role': {'enum': ['own_brand', 'competitor', 'industry'], 'type': 'string'}, 'context': {'type': 'string', 'maxLength': 300}, 'keyword': {'type': 'string', 'maxLength': 100, 'minLength': 2}}, 'additionalProperties': False}
generate_reply_draft
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', 'required': ['mention_id'], 'properties': {'mention_id': {'type': 'string'}, 'draft_intent': {'enum': ['reply', 'outreach_email'], 'type': 'string'}}, 'additionalProperties': False}
get_competitor_signals
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.
只读
输入模式 
{'type': 'object', 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}, 'limit': {'type': 'number', 'maximum': 50, 'minimum': 1}, 'competitor': {'type': 'string'}}, 'additionalProperties': False}
get_digest
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.
只读
输入模式 
{'type': 'object', 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}, 'limit': {'type': 'number', 'maximum': 50, 'minimum': 1}}, 'additionalProperties': False}
get_mention
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.
只读
输入模式 
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string'}}, 'additionalProperties': False}
get_pain_signals
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.
只读
输入模式 
{'type': 'object', 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}, 'limit': {'type': 'number', 'maximum': 50, 'minimum': 1}, 'keyword': {'type': 'string'}}, 'additionalProperties': False}
get_recent_mentions
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".
只读
输入模式 
{'type': 'object', 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}, 'role': {'enum': ['own_brand', 'competitor', 'industry'], 'type': 'string'}, 'limit': {'type': 'number', 'maximum': 50, 'minimum': 1}, 'source': {'enum': ['firehose', 'reddit', 'brave', 'google_news', 'serper', 'hackernews', 'adzuna'], 'type': 'string'}, 'keyword': {'type': 'string'}, 'sentiment': {'enum': ['positive', 'neutral', 'negative'], 'type': 'string'}}, 'additionalProperties': False}
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.
只读
输入模式 
{'type': 'object', 'properties': {}, 'additionalProperties': False}
mark_mention_reviewed
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.
幂等
输入模式 
{'type': 'object', 'required': ['id', 'verdict'], 'properties': {'id': {'type': 'string'}, 'verdict': {'enum': ['relevant', 'not_relevant'], 'type': 'string'}}, 'additionalProperties': False}
search_mentions
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.
只读
输入模式 
{'type': 'object', 'required': ['query'], 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}, 'role': {'enum': ['own_brand', 'competitor', 'industry'], 'type': 'string'}, 'limit': {'type': 'number', 'maximum': 50, 'minimum': 1}, 'query': {'type': 'string'}, 'source': {'enum': ['firehose', 'reddit', 'brave', 'google_news', 'serper', 'hackernews', 'adzuna'], 'type': 'string'}, 'keyword': {'type': 'string'}, 'sentiment': {'enum': ['positive', 'neutral', 'negative'], 'type': 'string'}}, 'additionalProperties': False}
update_keyword
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.
幂等
输入模式 
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string'}, 'role': {'enum': ['own_brand', 'competitor', 'industry'], 'type': 'string'}, 'context': {'type': ['string', 'null']}, 'is_active': {'type': 'boolean'}, 'min_relevance': {'type': 'number', 'maximum': 100, 'minimum': 0}, 'exclusion_terms': {'type': 'array', 'items': {'type': 'string'}}, 'excluded_content_types': {'type': 'array', 'items': {'type': 'string'}}}, 'additionalProperties': False}
历史

近期工具变更

已添加
generate_reply_draft
2026年9月17日 12:36
已添加
mark_mention_reviewed
2026年9月17日 12:36
已添加
get_mention
2026年9月17日 12:36
已添加
get_digest
2026年9月17日 12:36
已添加
get_pain_signals
2026年9月17日 12:36
已添加
get_competitor_signals
2026年9月17日 12:36
已添加
search_mentions
2026年9月17日 12:36
已添加
get_recent_mentions
2026年9月17日 12:36
已添加
update_keyword
2026年9月17日 12:36
已添加
create_keyword
2026年9月17日 12:36
已添加
list_keywords
2026年9月17日 12:36
发现

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