Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者提供的说明(英文原文)
Korean ad-compliance linter for cosmetics and health-food marketing copy
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"kadlint": {
"command": "npx",
"args": [
"-y",
"kadlint"
]
}
}
}在终端中运行这条命令
claude mcp add kadlint -- npx -y kadlint粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"kadlint": {
"command": "npx",
"args": [
"-y",
"kadlint"
]
}
}
}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": {
"kadlint": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"kadlint"
]
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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 GitHub 账户 feelyday 验证,该账户拥有此仓库
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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 1 项适用的基础检查中通过了 1 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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.1)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP
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
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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。
Korean ad-compliance linter for cosmetics and health-food marketing copy — detects prohibited claims with the legal basis, severity, and safer alternatives.
한국어 README
Korean law tightly regulates what cosmetics and health-functional-food ads may claim. A face cream may not say it "treats acne" (that is a drug claim under the Cosmetics Act), a probiotic may not promise to "boost immunity" unless that exact functionality was approved, and "No.1" / "100% natural" claims require objective substantiation under the Fair Labeling and Advertising Act. Korea's Ministry of Food and Drug Safety (MFDS) keeps detecting thousands of unlawful online ads in these categories every year — in 2025 its routine sweeps again flagged large batches of cosmetics and health-food ads for drug-like or unsubstantiated claims, and violations can mean ad bans, sales suspensions, and fines.
kadlint lints Korean marketing copy against a curated dictionary of 299 rules (183 cosmetics, 51 health-food, 65 common) distilled from:
Every finding comes with the violation category, the legal basis citation, a severity (high / medium / low), an explanation, and safer alternative phrasings.
npm install -g kadlint # CLI
npm install kadlint # library
Requires Node.js >= 18.
kadlint check ad-copy.txt
kadlint check ./landing-pages --format json --min-severity high kadlint check - < draft.md # stdin kadlint check banner.html --domain cosmetics,common
ad-copy.txt:1:1 [HIGH] '여드름 치료' — 의약품 오인 표현 (cos-113) 근거: 화장품법 제13조제1항제1호, 식약처 「화장품 표시·광고 관리 지침」 대체 표현: 피지·각질 케어로 매끈한 피부결 / (실증 보유 시) 여드름성 피부에 사용 적합
✖ 1건 발견 (high 1 · medium 0 · low 0) — 파일 1개, 규칙 299개 검사
.txt, .md, .html (tags stripped, offsets preserved), directories (recursive), - (stdin).0 clean, 1 findings at/above --min-severity, 2 usage error.살 균, 살·균, 살-균), a common evasion tactic; disable with --no-normalize.import { lint, lintFile } from 'kadlint';
const result = lint('여드름 치료에 탁월한 크림', { domains: ['cosmetics'] }); for (const f of result.findings) { console.log(f.ruleId, f.severity, f.match, f.legalBasis, f.alternatives); }
const fileResult = lintFile('landing.html', { minSeverity: 'medium' });
Options: domains (cosmetics | health_food | common), minSeverity, normalize (default true).
When one of a rule's exceptions phrases appears within 80 characters of a match (e.g. an approved functional claim used verbatim), the finding is downgraded to low with an explanatory note.
kadlint-mcp exposes a check_ad_copy { text, domain? } tool over stdio so LLM assistants can lint copy while drafting it.
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "kadlint": { "command": "npx", "args": ["-y", "kadlint", "kadlint-mcp"] } } }
If installed globally, "command": "kadlint-mcp" suffices:
{
"mcpServers": { "kadlint": { "command": "kadlint-mcp" } } }
Claude Code:
claude mcp add kadlint -- kadlint-mcp
or in .mcp.json:
{
"mcpServers": { "kadlint": { "command": "kadlint-mcp", "args": [] } } }
playground/index.html is a dependency-free static page (GitHub Pages friendly): paste copy, get highlighted matches and rule cards with the legal basis and alternatives.
Rules live in data/*.json:
{
"id": "cos-113", "pattern": "여드름.{0,8}(개선|치료|완화|박멸|없애|케어|예방)", "pattern_type": "regex", "violation": "의약품 오인 표현", "legal_basis": "화장품법 제13조제1항제1호", "severity": "high", "message": "…why this is prohibited…", "alternatives": ["피지·각질 케어로 매끈한 피부결"], "exceptions": ["여드름성 피부 완화 기능성화장품 심사(보고) 효능효과"] }
data/_needs_review.json is a backlog of candidate rules that have not been verified yet; it is excluded from the npm package. Contributions welcome — see CONTRIBUTING.md (no coding required, every rule must cite its legal basis).
pip install kadlint), review of the 25 backlog rules in _needs_review.json, and a pipeline for tracking MFDS guideline revisions.MIT © 2026 Jungkyun Lim