Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Face shape rules and a 102-face open measurement dataset. Read-only, no photos.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.thefaceanalysis.com/mcp在终端中运行这条命令
claude mcp add --transport http face-analysis https://mcp.thefaceanalysis.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"face-analysis": {
"url": "https://mcp.thefaceanalysis.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"face-analysis": {
"type": "http",
"url": "https://mcp.thefaceanalysis.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.thefaceanalysis.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
get_reference_statisticsPercentiles (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, pupil
list_face_typesLists 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.
get_face_typeDefinition and how the type is measured from a front photo (the exact threshold rule), plus its page URL. Example: category 'face', slug 'oval'.
classify_face_shapeRuns 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 w
get_methodologyHow 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.
get_citationCitation text, license (CC BY 4.0 for the aggregate numbers) and the source photo set. Use when quoting a number.
get_embed_snippetHTML 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.
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 thefaceanalysis.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 382 毫秒内响应(HTTP 200)
无需登录
已读取 7 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.1.0)于12天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
MCP server for The Face Analysis. It gives an AI assistant sourced, citable face measurement data and the same face shape classifier the site uses. Read-only; it takes no photo.
| Tool | What it returns |
|---|---|
get_reference_statistics | Percentiles of fWHR, midface ratio, symmetry, golden ratio fit, pupillary distance, canthal tilt on 102 faces (all / women / men) |
list_face_types, get_face_type | Face, eye, lip and nose types: definition and the exact threshold rule |
classify_face_shape | Face shape from four distances, using the site's seven rules in the site's order |
get_methodology | Thresholds, how the score is built, validity against 2,513 raters, change history |
get_citation | Citation text, CC BY 4.0 license, source photo set, downloads |
get_embed_snippet | HTML to put the free face shape widget on a page |
To measure a photo, use https://thefaceanalysis.com/face-shape-detector (free, runs in the browser, no sign-up) or the embeddable widget.
Hosted (no install): add https://mcp.thefaceanalysis.com/mcp as a remote MCP server in your client. Setup guide: https://thefaceanalysis.com/mcp
Local:
{ "mcpServers": { "thefaceanalysis": { "command": "npx", "args": ["-y", "thefaceanalysis-mcp"] } } }
Self-host the HTTP transport: npm run build && PORT=8787 npm run start:http (POST /mcp, stateless).
102 faces from one research set (Face Research Lab London Set), photographed in one city in one month: the numbers describe these faces, not a population. Face type splits show how the detector divides these faces, not how common a type is. No accuracy figure is claimed for any type label. Details: https://thefaceanalysis.com/methodology
Data CC BY 4.0, code MIT.