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Nutrition Intelligence

Look up nutrition facts for foods, brands and supplements, and total up what you ate.

Connects to a nutrition database built from USDA, Health Canada, CIQUAL and label data. Muse can resolve everyday food phrases, look up barcodes, total the nutrients in a meal or recipe, compare products, and check a day of food and supplements against recommended intakes.

Try asking Muse: "Add up the calories, protein and fibre in my lunch and tell me how it fits my day."

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Working now?
Working
Worked last 7 days
100% of checks
How to get it
Extra setup
Account
No account needed
Price
Not stated
Works in

Source: Found in the official MCP Registry (io.prospre/nutrients) · First listed November 7, 2026

Last 24 hours

Each bar is one check, every 15 minutes. Green means it answered. Last checked 4 min ago.

New to Muse?Muse is Meta's AI assistant. Nutrition Intelligence is an app you add to it, and once it is on, you can ask Muse to do this for you: look up nutrition facts for foods, brands and supplements, and total up what you ate. It takes about two minutes and you can turn it off any time.

Is it safe to connect?

What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.

Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.

musedirectory.ai is not part of Meta. More about how Muse handles your information

How to add it to Muse

Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Open Muse
https://nutrition.prospre.io/mcp

Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.

Also use it in ChatGPT or Claude

Nutrition Intelligence is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.

Add it to ChatGPT
  1. 1

    Open ChatGPT settings

    In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).

  2. 2

    Turn on developer mode

    Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.

  3. 3

    Create the connector

    Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.

  4. 4

    Use it in a chat

    Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.

Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT

Add it to Claude
  1. 1

    Open Claude settings

    In Claude, open Settings, then Connectors.

  2. 2

    Add a custom connector

    Choose Add custom connector, give it a name, and paste the link.

  3. 3

    Connect and use it

    If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.

Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude

https://nutrition.prospre.io/mcp

What people ask Muse to do

Everything Muse can do

Technical details: safety screening, tools, response time and recent checks

Response time at the last check: 521ms. Worked in 100% of checks over 30 days.

Screening · November 7, 2026

Screened, no issues found

MCP handshake
Pass
Answered in 517ms
Domain against threat feeds (Cloudflare security DNS)
Pass
nutrition.prospre.io not flagged
Published packages against the OSV malicious-package database
n/a
No npm or PyPI package published
Hidden instructions or invisible characters in tool text
Pass
27 tools read, nothing found
Inputs asking for passwords, card numbers or seed phrases
Pass
None found
Domain and redirects
Pass
No redirects off the domain
AI review of purpose and tool behavior
Pass
No concerns

Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.

Tools · 28

describeStart here. Returns the property registry (every nutrient key with its unit and meaning), the labelling regimes, entity kinds, proof ranks, your quota, and how to use every operation. Free.
resolveFind what free-text food phrases refer to: "2 large eggs scrambled", "1 cup cooked rice", "Clif Bar chocolate chip". Batch up to 50 phrases. Default mode "candidates" returns, per phrase, the parsed amount and ranked candidates, each with its portions (label and grams), the amoun
getFull entity cards by id (batch up to 100): every published fact with unit, basis, proof rank and source; portions; identifiers; serving; quality hints. A nutrient not in "nutrients" is unknown, never zero. "missing" gives the reason only for the core label nutrients (energy, prot
searchSupplement hits show headline_nutrients and literal headline_lines in place of food macros; other_labels lists collapsed DSLD label ids accepted by get. Find entities by name in any language, by barcode, or semantically. Filter by kind, brand, market. Returns compact hits with ke
lookup_barcodeProduct or supplement for a barcode (UPC-A, EAN-13, GTIN-14, any length; normalised). The same barcode can carry different recipes in different countries: pass market to choose. A miss opens a task for agents to find proof.
nutritionTotals for any mix of foods, products, recipes and supplements in any amounts (up to 200 items, at most 50 of them text; a text item costs what resolve charges for one phrase), and each item's own values: every line in items has nutrients for the same fields, in the total's unit,
compute_recipeExact nutrition for a recipe: the sum of its ingredient lines (text or ids). Returns the total and per serving, plus per 100 g when you give the weighed cooked weight. Nothing is estimated: where cooking changes an ingredient, use its cooked form ("chicken breast, roasted"). A va
compareItems side by side on one basis: per_100g, per_serving or per_100kcal.
querySearch and mine the whole database: keywords (the last word also matches as a prefix, for type-ahead), filters on any nutrient, sorting by up to three keys, per 100 g, per 100 kcal or per serving. E.g. foods with at least 20 g protein per 100 kcal and under 5 g sugars sorted by f
label_linesThe master list of free label lines: every line name that labels print and the registry has no key for (a botanical, a branded blend, "creatine monohydrate"), as stored under line:<name>, with how many items state it (entities), from how many proofs (sources), and in which units.
labelThe item's nutrition panel as a given country would print it (rounding, basis, mandatory nutrients, salt vs sodium, carbohydrate definition). Values that cannot be derived exactly come back null with the reason; derived rows (salt from sodium, kJ from kcal) list derived_from. "al
reference_valuesRecommended intakes (RDA/AI), upper limits (UL, with scope e.g. "supplemental only") and label reference values (DV/RI/NRV) for a population and jurisdiction. Each value carries its source and a cite line.
check_intakeA day of foods and supplements (up to 200 items, at most 50 of them text; a text item costs what resolve charges for one phrase) checked against recommended intakes and upper limits for a population. Limits that apply only to supplements (magnesium, vitamin E, folic acid, niacin)
explainEvery fact behind one value: each source, its proof rank and date, which one is published and why. Use before trusting a surprising number.
flagReport a value that looks wrong, or a label photo that looks fake. Free. Include why and any evidence (a URL to the brand's own page is best; it is kept as text for people, never visited). Flags open review tasks. With proof_id (a photo proof, from a card's sources, e.g. "p123" i
add_proofSubmit proof: a first-party URL (brand or restaurant page, PDF, CSV), or label photos (base64; several sides of one package beat one photo), with your reading of it. A URL is a citation: we never download it. Values that fill gaps publish at once, marked unverified; they become v
submit_readingYour reading of a proof from a read_proof task (one submitted without a reading): what the proof states, as typed values. Read only the proof files (GET /v1/proofs/{proof_id}/files/{n}). A proof is read once: to verify an item from a verify_reading task, find your own proof and s
claim_statusStatus of a claim (checks, decision, reason) or of submitted proof (how many readings it has and whether they agree; values stay hidden so later readers read blind) and which claims it opened).
tasksSmall jobs that improve the data, near what you are doing: items whose values wait for independent proof, values that need proof, missing nutrients, unknown barcodes, open flags. Listing reserves nothing. Follow how to contribute; only verification and barcode tasks currently clo
needsWhat agents asked for and did not get, ranked by how many asked and how recently: phrases and searches with no match, unknown barcodes. Free. Fill one when you have the item in hand or can open its own page: add_proof with new_entity {kind, name, brand, barcode}, market, url or f
researchOne task that improves the database, with everything needed to finish it in one call: the gap or the item, what proof counts, the add_proof call prefilled, and what it earns. Free. A fill task is something two or more agents asked for and did not get; a verify task asks for your
suggest_domainSuggest a website as a trusted source: a government food database, or the official site of one brand or restaurant chain. A link on a trusted domain counts as that owner's own data (the brand's site is rank 1 for its items); a link anywhere else is an unknown website at rank 4. A
feedbackTell us what would make this service better for you: a tool that confused you, a missing operation or field, a slow call, a wrong result, an unclear doc or skill, or what worked well. Free. Wrong nutrition values go to flag instead, so they can be fixed at the source. Feedback is
changesEntities changed after a sequence number (paid plans).
link_emailLink your operator's email to this key to raise its limits and allow contributions (flag, add_proof, tasks, submit_reading). A 6-digit code is emailed to the address; confirm it with verify. Your key keeps working meanwhile. Free.
verifyConfirm the 6-digit code emailed by register or link_email, with the key that asked for it: links the email, moves the key to the free plan and adds the contribute scope. Five wrong codes end every code sent to this key; then call link_email again.
usageYour key's plan, balances, limits and operation costs. Free.
registerCreate an API key. It works immediately for reads, with a small daily quota. Optionally pass your operator's email (or call link_email later): a 6-digit code is emailed, and confirming it with verify raises the quota and allows contributions. One verified email owns all its keys.

Recent checks

2026-11-08 05:45:51live · HTTP 200521ms
2026-11-08 00:15:50live · HTTP 20079ms

Link

https://nutrition.prospre.io/mcp

Questions about Nutrition Intelligence in Muse

How do I connect Nutrition Intelligence to Muse?

Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Nutrition Intelligence to help me. It is a free service with an MCP server at https://nutrition.prospre.io/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Is Nutrition Intelligence working right now?

At the last check (November 8, 2026, 05:45 UTC) the endpoint was working, answering in 521ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.

Is Nutrition Intelligence safe to connect to Muse?

It was screened on November 7, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.

What can Nutrition Intelligence do in Muse?

It exposes 28 tools, including describe, resolve, get, search. For example, you could ask Muse: "Add up the calories, protein and fibre in my lunch and tell me how it fits my day."

Follow Nutrition Intelligence

Tell me if Nutrition Intelligence goes down, comes back, or changes its tools
One email per change. You confirm first, and every email has a link to stop.
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Is this yours?

This listing was added from public sources (Found in the official MCP Registry (io.prospre/nutrients)). If you build Nutrition Intelligence, claim it to correct the details and get your badge.

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Nutrition Intelligence status badge

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<a href="https://musedirectory.ai/connector/nutrition-intelligence"><img src="https://musedirectory.ai/badge/nutrition-intelligence.svg" alt="Nutrition Intelligence on musedirectory.ai" width="236" height="40"></a>

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