plate-cost
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@plate-costhelp me price my nasi goreng recipe"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
plate-cost
An MCP App that costs recipes and prices menu items — an interactive calculator the model opens instead of doing the arithmetic itself.
Ask Claude "help me price my nasi goreng" and you get a working spreadsheet: ingredient rows, purchase prices, waste percentages, portion yield, a margin slider. Change a number, everything recalculates. Press Use these numbers and the model continues the conversation with figures you entered rather than figures it invented.
Built on MCP Apps (ext-apps).

Running in the basic-host reference host from ext-apps — not Claude. The model
proposed the recipe, the widget loaded it, and "Use these numbers" sent the corrected
figures back into the conversation.
Why this is an app and not a tool
Costing is exploration, not a question. You do not know the answer you want until you have moved the portion size and watched the margin move. Chat is a bad interface for that, and a model doing the arithmetic in its head is worse — LLMs are unreliable at multi-step numeric work and completely reliable at sounding certain about it.
So the split is: the widget captures inputs, the server does the maths, the model does the talking.
Related MCP server: TradingCalc MCP Server
The interesting part: knowing where the numbers came from
MCP Apps has an open gap — ext-apps#746:
a tools/call from a widget and one the model decided to make are indistinguishable
at the server. For most tools that does not matter. For a costing tool it decides
whether you are doing arithmetic or laundering a guess.
mcp-app-attest closes it — extracted
from this repo, which is its first consumer. The server mints a short-lived token each time it
serves the app resource and substitutes it into the document; the widget echoes it
back in _meta on every call. The model never sees the resource body, so it cannot
produce the token. Calls are answered either way — the response says which it got:
{ "perPortion": 3300, "inputsFrom": "model" }and when the numbers came from the model, the text reply says so:
Note: these figures came from the model, not from the calculator. Confirm the purchase prices with the user before relying on them.
Verified end to end against the reference host, not just in unit tests:
[provenance] inputsFrom=model reason=missing meta=null
[provenance] inputsFrom=app meta={..."io.platecost/app-attestation":"XfqGVAiP…"}What this is not. Not authorisation, and not proof a human typed anything. It distinguishes code paths, not identities. If a host copies the resource text into model context, the model can read the token — nothing here prevents that, it is the host's contract to keep. A compromised widget can send whatever it likes. Treat it as the difference between "typed into my form" and "produced by a language model", which is exactly what #746 asks for.
It has since been extracted into mcp-app-attest,
which switched to signed tokens rather than stored ones — see the "what didn't work"
note below for why.
Two things the domain gets wrong
Both are in src/costing.ts, both have tests.
Waste means buying more, not using more. Cost is used / (1 - wastePct), not
used * (1 + wastePct). At 50% waste you buy double, not one and a half times. The
naive version understates every trimmed ingredient you own.
Margin and markup are different numbers. Margin is (price - cost) / price;
markup is (price - cost) / cost. A 60% markup is a 37.5% margin, and a 60% margin
needs a 150% markup. priceForMargin takes margin — that is what "we want 65%"
means in a kitchen — and returns both, so the gap is visible rather than assumed.
Also handled: unit conversion within mass and volume families, with a refusal across
them (kg → l needs a density you have not given), per-ingredient cost share, and
overhead applied per portion rather than per batch.
Try it
npm install # pulls mcp-app-attest from npm
npm run build # bundles the widget to a single inlined HTML
npm test # 21 tests
npm run dev # widget standalone in a browser, no hostIn Claude Desktop
Build first, then add to claude_desktop_config.json:
{
"mcpServers": {
"plate-cost": {
"command": "node",
"args": ["--experimental-strip-types", "/absolute/path/to/plate-cost/bin/stdio.ts"]
}
}
}npm start runs the same thing directly. Requires Node 22+ for type stripping.
Against an MCP Apps host over HTTP
npm run serve # http://localhost:3001/mcpUsed with the basic-host example from ext-apps to produce the screenshot above.
Outside any host the attestation placeholder is never substituted, so calls are
labelled model — which is the honest answer.
What didn't work
A stateless HTTP transport. The first version built a fresh server per request, which is fine for stateless tools and silently breaks this one: the attestation was minted by a server instance that no longer existed when the widget called back, so every widget call was rejected as
unknown. The in-memory tests could not see it — they share one instance. Only running against a real host exposed it.Blaming the SDK. Before finding the above, the obvious suspect was
_metabeing stripped in transit. It is not: the reference host forwards it intact through the sandbox proxy. Worth knowing, because the whole mechanism depends on hosts doing so and the spec does not require it.
Status
v0. Two tools (cost-recipe, price-portion), one widget, 21 tests.
Not built: persistence between conversations, multi-recipe comparison, and anything
touching the namespacing problem in
#753 /
#745 — callServerTool
uses bare tool names, so this will break behind an aggregator. That is the next thing
worth solving and it is not solved here.
MIT.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
The brain for restaurant costs, pricing, and true profit (read/edit menu, recipes, costs).
Auditable construction takeoffs with locked waste and conservative purchase rounding.
AI-callable calculators and engineering models with real formulas. No hallucinated math.
Deterministic what-if & scenario simulation for AI agents: projections, sensitivity & break-even.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceProvides basic arithmetic operations and advanced mathematical functions through the Model Context Protocol (MCP), with features like calculation history tracking and expression evaluation.1
- AlicenseNot gradedqualityBmaintenanceProvides deterministic trading calculations for PnL, risk, margin, and funding, enabling users to get exact numbers for trade planning and risk assessment via MCP or REST API.111MIT
- AlicenseCqualityBmaintenanceDeterministic Odoo ERP calculators: implementation, migration and upgrade cost, ROI and TCO, US/Canada/EU sales tax and VAT, Canadian payroll source deductions, and inventory maths (reorder point, safety stock, EOQ, landed cost, OEE). 24 tools, each a pure function, the numbers are arithmetic rather than a model's guess. Hosted remote server, no install and no API key; a stdio bridge is included24MIT
- AlicenseAqualityAmaintenanceA deterministic what-if scenario simulation MCP server that projects business metrics over time with exact decimal arithmetic, offering sensitivity analysis and break-even solving.647MIT
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/rephol/plate-cost'
If you have feedback or need assistance with the MCP directory API, please join our Discord server