AI Monk Index
Research monk avatars, products and video playbooks with sources and labelled uncertainty.
사용해야 할까요
품질 및 안전성
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": {
"ai-monk-index": {
"url": "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
}
}
}원격 엔드포인트
https://aniccaai.com/.netlify/functions/ai-monk-mcpstreamable-http할 수 있는 일
도구 목록
도구 (6)
🟢search_ai_monks(query, status, language, platform, region, ...)
Search monk profiles and pending research candidates by name/handle, provenance, language, platform and region. Excludes illustrated/watercolor storytelling channels. Paginated; latest single-platform audience order by default; optional sampled-video views or reported three-month USD gross-revenue order. Missing metrics are not zero. Returns provenance, directory_scope and unknowns; candidate inclusion does not confirm AI production or video format.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"maxLength": 500
},
"status": {
"default": "all",
"type": "string",
"enum": [
"all",
"confirmed",
"reported",
"unverified",
"unknown"
]
},
"language": {
"default": "all",
"type": "string",
"minLength": 1,
"maxLength": 200
},
"platform": {
"default": "all",
"type": "string",
"enum": [
"all",
"Instagram",
"TikTok",
"YouTube",
"unknown"
]
},
"region": {
"default": "all",
"type": "string",
"minLength": 1,
"maxLength": 200
},
"sort": {
"default": "audience",
"type": "string",
"enum": [
"audience",
"views",
"revenue",
"directory"
]
},
"offset": {
"default": 0,
"type": "integer",
"minimum": 0,
"maximum": 9007199254740991
},
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}🟢get_ai_monk(id)
Retrieve one exact directory profile ID, its complete research record and referenced sources. Includes pending candidates with their directory_scope, identity conflicts and unknowns. Illustrated channels are excluded; candidate inclusion does not confirm AI production or video format.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
"required": [
"id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}🟢ai_monk_index_stats
Return directory record/source counts, AI status counts and snapshot methodology. Metadata separates the full research archive from directory coverage. Directory counts include evidence-reviewed video personas and pending research candidates; illustrated channels are excluded. AI status counts do not establish reviewed video-avatar evidence.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}🟢top_formats(limit, account_id)
Observed AI monk video samples ranked by latest dated public views, with title, duration, upload date and structure_summary (format, hook and script pattern). Optional account_id. Views are sampled-video observations, not channel totals.
입력 스키마
{
"type": "object",
"properties": {
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 50
},
"account_id": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}🟢how_they_monetize(account_id)
Offers (type, name, listed or base price, currency, URL), separate localized presentment observations, seller counters, creator revenue claims and revenue observations for AI monk accounts, plus counts by offer type. Optional account_id. Prices are not orders; claims are unaudited.
입력 스키마
{
"type": "object",
"properties": {
"account_id": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}🟢winning_playbooks
Source-linked playbooks published by successful AI monk creators (e.g. Yang Mun by Shalev): script formula, winning hooks with reported views, voice, posting cadence, funnel to product and monetization. Creator claims are unaudited.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}커뮤니티
증거