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Dishmath

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/dishmath

Install

Overview

Description from the maker (original English)

Local restaurant math: food cost, menu price with VAT, recipe scaling and the EU allergen matrix.

PopNx MCP’s three pillars

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

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 on your computer
  • Transport: stdio
  • Category: Other

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dishmath": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dishmath",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add dishmath -- npx -y @reneturcios/dishmath mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "dishmath": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dishmath",
        "mcp"
      ]
    }
  }
}

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": {
    "dishmath": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dishmath",
        "mcp"
      ]
    }
  }
}

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 one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32375 servers in this category
  • Published to the registry more recently than 93% of the other 32375 servers in this category
  • Basic checks equal to or better than 100% of the other 32375 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 Dishmath safe?

It passed 1 of 1 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, DiffCI

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
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DiffCI

by DiffCI

Fail-closed, change-aware verification for AI coding agents with affected-test guidance.

Computer or cloudUpdated today
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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.

dishmath

Restaurant arithmetic that runs entirely on your own machine: what a plate costs to make, what to charge for it, how a recipe changes between portion counts, and which dishes a guest with an allergy must avoid. There is no account, no key and no network call — every answer is computed locally from the numbers you pass in.

The four calculations

  • Food cost — add up a dish ingredient by ingredient. Alongside the plate cost you can ask for the selling price that lands on a target food-cost percentage, and for the percentage you are really running at today's price.
  • Menu price — start from a plate cost and a target food-cost percentage. You get the net price, the price with VAT added, that price rounded up to a clean step (0.50, 1.00, …), the gross profit per plate net of tax, and the food-cost percentage the rounded price actually gives you.
  • Recipe scaling — give a recipe written for one number of portions and get every quantity rewritten for another. When the ingredients carry unit costs, the batch cost and the cost per portion come with it.
  • Allergen matrix — declare the allergens in each dish and get the dish-by-allergen table used under EU Regulation 1169/2011 (Annex II), plus the list of dishes to avoid for each of the 14 allergens. Names are accepted in English or Italian, and common names work too: "shrimp" counts as crustaceans, "dairy" as milk. The tool never guesses allergens from a dish's name — a dish with none declared is reported that way.

Money is rounded half-up to two decimals and percentages to one decimal. An optional ISO currency code (default EUR) changes only how amounts are printed.

Worked example, plate cost €3.20 at a 30% target with 10% VAT and a 0.50 rounding step:

Net price (before tax): €10.67

Price incl. 10% tax: €11.74 Menu price (rounded up to 0.5): €12.00 Gross profit per plate (net of tax): €7.71 Real food cost after rounding: 29.3%

CLI

npx @reneturcios/dishmath menu_price_calculator '{"plate_cost":3.20,"target_food_cost_percent":30,"vat_percent":10,"rounding_step":0.50}'

npx @reneturcios/dishmath food_cost_calculator '{"ingredients":[{"name":"flour","quantity":0.5,"unit":"kg","unit_cost":1.20}],"target_food_cost_percent":30}' npx @reneturcios/dishmath recipe_scaler '{"ingredients":[{"name":"flour","quantity":500,"unit":"g"}],"original_portions":4,"target_portions":6}' npx @reneturcios/dishmath allergen_matrix '{"dishes":[{"name":"Shrimp pasta","allergens":["shrimp","gluten"]}]}' npx @reneturcios/dishmath --version

Each tool subcommand takes a single JSON argument string and prints the result as plain text. Exit codes: 0 on success, 1 on a calculation or validation error, 2 on a usage error.

MCP

npx -y @reneturcios/dishmath mcp

MCP client configuration:

{

"mcpServers": { "dishmath": { "command": "npx", "args": ["-y", "@reneturcios/dishmath", "mcp"] } } }

Tools exposed over MCP: food_cost_calculator, menu_price_calculator, recipe_scaler, allergen_matrix.

Docker

docker run -i ghcr.io/cloudcorprecords/dishmath

docker run --rm ghcr.io/cloudcorprecords/dishmath menu_price_calculator '{"plate_cost":3.20,"target_food_cost_percent":30,"vat_percent":10,"rounding_step":0.50}'

The container's default command is mcp, so the first form starts the stdio MCP server; any other arguments reach the CLI.

Development

npm install

npm run build npm test npm run dev

License

MIT — see LICENSE.

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