Allergen Detector

Name: Allergen Detector
Author: daniellemeng1022

by daniellemeng1022version 0.1.0i★ –iRuns in the cloud

Registry nameio.github.daniellemeng1022/allergen-detector

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other
You need to fill in: X-API-Key

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 3 things (tools) check_product_allergens, lookup_ingredient, list_supported_allergens
You fill in yourself: X-API-Key

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

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.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account daniellemeng1022, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 772 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 3 tool descriptions and found no hidden instructions to the AI

Compared with others in Otheri

More stars than 0% of the other 32706 servers in this category
Published to the registry more recently than 74% of the other 32706 servers in this category
Basic checks equal to or better than 100% of the other 32706 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Allergen Detector safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: X-API-Key

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 12 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

Allergen Detector

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Kanal Varna — drains, leaks & plumbing (Varna, BG)

README from the maker

Allergen Detector MCP

Tools

Run it

Launch steps

Before scaling