AI Monk Index
Research monk avatars, products and video playbooks with sources and labelled uncertainty.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"ai-monk-index": {
"url": "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
}
}
}Remote endpoints
https://aniccaai.com/.netlify/functions/ai-monk-mcpstreamable-httpWhat it can do
Tool inventory
Tools (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.
Input Schema
{
"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
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Output Schema
{
"type": "object",
"$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.
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
"required": [
"id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Output Schema
{
"type": "object",
"$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.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Output Schema
{
"type": "object",
"$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.
Input Schema
{
"type": "object",
"properties": {
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 50
},
"account_id": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Output Schema
{
"type": "object",
"$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.
Input Schema
{
"type": "object",
"properties": {
"account_id": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Output Schema
{
"type": "object",
"$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.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Output Schema
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}Community
Evidence