Nutrition MCP Server

For a RAW or minimally-processed whole food, report which nutrition claims ("source of iron", "high in vitamin C", "high fibre") the published data supports under GB/EU rules (15%/30% of NRV per 100 g, Reg. 1924/2006) and US rules (10-19%/20% of DV per RACC, 21 CFR 101.54) — and, uniquely, flag where that answer DEPENDS ON WHICH national food-composition table was used, since the eleven tables reconciled here disagree on the same food by a median of 1.63x. Applies to claims wherever they appear, including websites and advertising (Reg. 1924/2006 Art. 1(2)), not only packaging. NOT valid for cooked or manufactured products — their composition depends on recipe and processing. Screening only: under Art. 5(1)(b)(i) the nutrient must be in THE FINAL PRODUCT, so a supported claim still needs an analysis of the producer's own produce. Never treat this as a way to pick a source that qualifies.

Find the Heathy slug for a food or Ayurvedic herb by name, including regional and non-English aliases (Hindi, Sanskrit, botanical names). Call this first when you have a plain-English or local name and need the slug for lookup_food or herb_monograph. Returns ranked candidates rather than guessing a single answer.

What to eat for a health goal — the nutrients involved, why each one, and which raw recipes carry them. Call this before answering "what should I eat for X". Accepts a goal ("gut health", "bone-health") or a named condition ("PCOS", "ADHD", "anaemia"): condition names resolve even though topic titles are physiological. Crucially, topics that people reach for with a diagnosis carry an explicit note saying what the evidence does and does NOT support, at its own rating — for ADHD and autism that note says diet is not a treatment, per NICE. Reproduce those notes rather than summarising them away. Omit the argument to list every topic.

Get a sourced monograph for an Ayurvedic herb, with traditional use and modern research kept strictly separate and never blended: `traditional` records what the tradition claims, `modern` records what research shows with an evidence tier (1 = strongest). Every response includes a mandatory `safety` block — cautions, pregnancy guidance and drug interactions — which must be reproduced alongside any information taken from this tool. Accepts English, Sanskrit, Hindi or botanical names ("turmeric", "haldi", "Curcuma longa").

Get the full per-100 g nutrient profile of a whole plant food, reconciled across up to 11 national food-composition datasets (USDA, UK CoFID, IFCT India, Ciqual, BLS, Frida, and more). Unlike a single-source table, every value reports how many sources contributed, which ones, and the per-source spread — so the number can be cited rather than asserted. Covers Indian foods from IFCT 2017, which is not available as an API elsewhere. Accepts a slug ("bitter-gourd") or a plain or regional name ("karela", "chickoo").

Rank whole plant foods by how much of a nutrient they provide per 100 g — the "highest in vitamin C / iron / calcium" question, answered from reconciled multi-source data rather than one national table. Optionally filter by food category. Each result reports how many sources backed the value, so thinly-sourced outliers can be spotted or excluded via min_sources.

Get one Heathy recipe in full: ingredients with their food slugs and gram weights, method, per-serving nutrition, allergens and carbon footprint. All recipes are original, strictly raw / no-cook and vegan. The nutrition is computed from the ingredient food rows rather than entered by hand, so each figure traces back to the national datasets lookup_food cites. Accepts a slug or the recipe name; use search_recipes to find one.

Find raw / no-cook vegan recipes on Heathy by free text, health goal, category, ingredient, time or allergen. Every recipe is original and its per-serving nutrition is computed from the same food rows lookup_food returns, so figures are checkable rather than asserted. Returns ranked summaries — call get_recipe with a slug for ingredients, method and full nutrition. For "what should I eat for X" questions, prefer health_topic first: it says what the evidence actually supports for a goal or a named condition.