AI Monk Index

Research monk avatars, products and video playbooks with sources and labelled uncertainty.

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质量与安全性

B
描述质量
100%
模式完整度
58%
命名质量
87%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,226token 数(工具定义)
~1.2 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.96%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "ai-monk-index": {
      "url": "https://aniccaai.com/.netlify/functions/ai-monk-mcp"
    }
  }
}

远程端点

https://aniccaai.com/.netlify/functions/ai-monk-mcpstreamable-http

它能做什么

工具清单

工具(6)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢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.

输入模式

{
  "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
}

输出模式

{
  "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.

输入模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "minLength": 1,
      "maxLength": 200
    }
  },
  "required": [
    "id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "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.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "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.

输入模式

{
  "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
}

输出模式

{
  "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.

输入模式

{
  "type": "object",
  "properties": {
    "account_id": {
      "type": "string",
      "minLength": 1,
      "maxLength": 200
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "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.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "propertyNames": {
    "type": "string"
  },
  "additionalProperties": {}
}

社区

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证据

最近观测

已验证未记录版本6 个工具