TheFaceAnalysis

Face shape rules and a 102-face open measurement dataset. Read-only, no photos.

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质量与安全性

A
描述质量
90%
模式完整度
83%
命名质量
97%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(1)

  • LOWTool 'get_methodology' description lacks action verb在 get_methodology 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,098token 数(工具定义)
~858 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.86%)

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": {
    "face-analysis": {
      "url": "https://mcp.thefaceanalysis.com/mcp"
    }
  }
}

远程端点

https://mcp.thefaceanalysis.com/mcpstreamable-http

它能做什么

工具清单

工具(7)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_reference_statistics(measure, group)

Percentiles (p10, p25, median, p75, p90, min, max) of facial measurements from 102 adult faces (49 women, 53 men) of the Face Research Lab London Set, measured with a 478-point MediaPipe landmarker. Measures: composite score, symmetry, golden ratio fit, fWHR, midface ratio, pupillary distance, canthal tilt. Aggregates only; one research set photographed in one city, so these describe these faces, not a population.

输入模式

{
  "type": "object",
  "properties": {
    "measure": {
      "type": "string",
      "enum": [
        "composite",
        "symmetry",
        "golden",
        "fwhr",
        "midface",
        "pd",
        "tilt"
      ],
      "description": "One measure. Omit for all."
    },
    "group": {
      "type": "string",
      "enum": [
        "all",
        "female",
        "male"
      ],
      "description": "all, female or male. Omit for all three."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_face_types(category)

Lists the types the site's detectors use, with slug, name, page URL and how many of the 102 reference faces each type covered. The split shows how the detector divides these faces, not how common a type is in a population.

输入模式

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "face",
        "eye",
        "lip",
        "nose"
      ],
      "description": "Omit for all four categories."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_face_type(category, slug)

Definition and how the type is measured from a front photo (the exact threshold rule), plus its page URL. Example: category 'face', slug 'oval'.

输入模式

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "face",
        "eye",
        "lip",
        "nose"
      ]
    },
    "slug": {
      "type": "string",
      "description": "e.g. oval, heart, hooded, upturned"
    }
  },
  "required": [
    "category",
    "slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢classify_face_shape(face_length, cheekbone_width, forehead_width, jaw_width)

Runs the same seven-rule face shape classifier as thefaceanalysis.com/face-shape-detector on four distances (any consistent unit: pixels, mm or landmark units). Returns the shape, the rule that matched and the four ratios. It does not look at photos: to measure a photo, use the widget (get_embed_snippet) or the site. Borderline faces can flip between two shapes; no accuracy figure is claimed because the reference set has no labelled face types.

输入模式

{
  "type": "object",
  "properties": {
    "face_length": {
      "type": "number",
      "exclusiveMinimum": 0,
      "description": "Top of the forehead surface to the bottom of the chin"
    },
    "cheekbone_width": {
      "type": "number",
      "exclusiveMinimum": 0,
      "description": "Widest point across the cheekbones"
    },
    "forehead_width": {
      "type": "number",
      "exclusiveMinimum": 0,
      "description": "Width across the temples"
    },
    "jaw_width": {
      "type": "number",
      "exclusiveMinimum": 0,
      "description": "Width across the jaw"
    }
  },
  "required": [
    "face_length",
    "cheekbone_width",
    "forehead_width",
    "jaw_width"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_methodology(include_changelog)

How the numbers are made: the landmark model, every classification threshold, how the 1-10 score is built, and how it correlated with 2,513 human raters on the same faces (it did not predict them). Includes the method change history.

输入模式

{
  "type": "object",
  "properties": {
    "include_changelog": {
      "type": "boolean",
      "description": "Also return the dated change history."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_citation

Citation text, license (CC BY 4.0 for the aggregate numbers) and the source photo set. Use when quoting a number.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_embed_snippet(size)

HTML a website owner can paste to add the free face shape finder (it measures the visitor's photo in their browser, no sign-up). Includes the visible credit link the terms ask for.

输入模式

{
  "type": "object",
  "properties": {
    "size": {
      "type": "string",
      "enum": [
        "compact",
        "standard",
        "wide"
      ],
      "description": "compact 360px, standard 480px, wide 720px"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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证据

最近观测

已验证未记录版本7 个工具