Allergen Detector

Name: Allergen Detector
Author: daniellemeng1022

作者：daniellemeng1022版本 0.1.0i★ –i在云端运行

注册名称io.github.daniellemeng1022/allergen-detector

安装

概览

作者提供的说明（英文原文）

Checks food and cosmetic ingredients against each household member's allergies, incl. hidden names.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 其他
你需要填写：X-API-Key

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
可以做 3 件事（工具） check_product_allergens, lookup_ingredient, list_supported_allergens
需要你自己填写： X-API-Key

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http allergen-detector https://allergen-detector-mcp.onrender.com/mcp --header 'X-API-Key: your-value'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "allergen-detector": {
      "url": "https://allergen-detector-mcp.onrender.com/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "allergen-detector": {
      "type": "http",
      "url": "https://allergen-detector-mcp.onrender.com/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

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。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

X-API-Key 机密 HTTP header
Optional partner key. Not needed for normal use.

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。

它能做什么

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。

check_product_allergens
Check a product's ingredient list against the allergies of one or more people in a household. Catches allergens listed under other names (e.g. "arachis oil" for peanut, "casein" for milk, Latin plant names in cosmetics) and does not let "free from" claims hide a real ingredient.
lookup_ingredient
Tell which allergens, if any, an ingredient name belongs to, e.g. "sodium caseinate" -> milk, "Prunus amygdalus dulcis oil" -> tree nuts, "DMDM hydantoin" -> formaldehyde releasers.
list_supported_allergens
List the allergens this service can check (food and cosmetic), with the other names users may type for them.

基础检查i

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

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 daniellemeng1022 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 772 毫秒内响应（HTTP 200）
– 不适用
使用 OAuth 登录
无需登录
✓ 通过
工具描述中没有隐藏指令
已读取 3 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32708 个服务器的 0%
发布到注册中心的时间比此分类中其他 32708 个服务器的 74% 更新
基础检查结果等于或优于此分类中其他 32708 个服务器的 100%

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。

常见问题

Allergen Detector 安全吗？

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。

它需要哪些密钥或代码？

你需要填写：X-API-Key

它在我的电脑上运行还是在云端？

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。

它还在维护吗？

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。

哪些应用可以使用它？

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。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, OpenTakeoff

替代选择

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

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新

安装

OpenTakeoff

作者：Kentucky-ai

Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

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。

Allergen Detector MCP

The Allergen Detector matching engine as an MCP server, so AI assistants and shopping agents (ChatGPT, Claude, and others) can check a product against a household's allergies before recommending or buying it.

It uses the same matcher.js and allergen map as the Chrome extension (51 allergens, 3,446 names in 24 languages). The map refreshes daily from GitHub, so map updates reach agents with no redeploy.

A short word that is an allergen in one language and an everyday word in another ("ou", "malta") only counts on text in its own language. The server infers the language from the "Ingredients" label word and, on text of 12 words or more, a detector; agents can also pass language. Short text with no label is not filtered. Words set aside are returned in other_language_words_not_counted, and languages_assumed shows the inference.

Tools

Tool	What it does
`check_product_allergens`	Checks an ingredient list against one or more people's allergens (with severity) and returns who is affected, by which ingredient, and why. "Free from" claims never hide a real ingredient.
`lookup_ingredient`	Tells which allergen an ingredient name belongs to ("sodium caseinate" → milk).
`list_supported_allergens`	Lists the allergens the service covers.

The same checks are also a plain web API for agents that don't use MCP: POST /api/check, POST /api/lookup and GET /api/allergens, described at /openapi.json.

API keys are optional. Set API_KEYS="muse= ,acme= " on the host to give each partner its own key, sent as X-API-Key or Authorization: Bearer. Requests without a key still work; a wrong key gets a 401. A valid key names the partner in /stats.

All tools are read-only and stateless. Nothing about the person (allergens, ingredients) is stored or logged. The only log is an anonymous count of tool calls per day, for measuring traction.

Run it

npm install

npm test # end-to-end test over MCP npm start # remote server: http://localhost:3000/mcp npm run stdio # local server for Claude Desktop and similar npm run sync # copy the latest matcher.js and map from the extension

To use it locally in Claude Desktop, add this to the mcpServers section of its config:

"allergen-detector": { "command": "node", "args": ["/path/to/allergen-mcp/server.js", "--stdio"] }

Launch steps

Host it at a public HTTPS URL. Render or Fly.io can run npm start from a GitHub repo for $0–7/month. Later, point mcp.safi.ai at it.
Privacy policy and terms page. Every directory requires one. Until safi.ai is live, host it on GitHub Pages. Its main point: no health data is stored.
List it in the official MCP Registry (registry.modelcontextprotocol.io) with the mcp-publisher CLI, under io.github.daniellemeng1022/allergen-detector. Many clients and directories pull from it.
Submit to the community directories: Smithery, Glama, PulseMCP and mcp.so.
Claude: anyone can add it today as a custom connector by pasting the URL. To appear in Anthropic's connectors directory, submit it through their directory form.
ChatGPT: test it in developer mode, then submit it as an app through OpenAI's Apps SDK submission process. This needs a verified developer account.
Meta Muse (do this first): submit at muse.ai/platform. Choose "Existing MCP," enter the hosted URL, choose "API keys" and give Meta a key from API_KEYS (e.g. muse=…) so its calls show up as muse in /stats and payments to "no," then describe the service. Meta tests the live endpoint, so step 1 has to be done first. Muse already shops at Sephora, Walmart, Best Buy and the Shopify catalog, which covers both of our categories (cosmetics and food).
Instinct and similar assistants: Instinct doesn't document custom MCP support. It shops through Shopify and Shop Pay. Reach out for a partnership instead.
Shopping agents: contact teams building agentic-commerce products and offer the endpoint free during a pilot.
Measure: set STATS_KEY on the host, then open https:// /stats?key= to see calls by day, agent and tool. A connect count is an agent connecting; tool counts are real checks. /stats resets when the server restarts, but every count is also a [usage] JSON line in the host's logs. Track weekly checks and the number of distinct agents.

Before scaling

Add rate limiting and an API key for heavy business users. Keep a free tier.
Keep the disclaimer in every response. Don't present results as medical advice.