Clarity by Health AI
Condition-aware ingredient and product checks for agents, with evidence tiers and citations.
| Endpoint | https://mcp.healthai.com (streamable-http) |
|---|---|
| Registry version | 0.7.8 |
| Now | 9 tools · grade B (85) · pin ts_61a3750c5642a52350f3d18b1ac6cdee · protocol 2025-06-18 |
| First / last listed | 2026-10-27 05:56 UTC / 2026-10-27 05:56 UTC |
| Grade over time | 2026-10-27: B (85), 9 tools |
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Tools: check_ingredient check_stack find_alternatives strain_lookup scan_barcode validate_claim check_interaction score_product check_recall
check_ingredient | Look up a cosmetic/food/supplement ingredient in Clarity's condition-aware database. Returns verdict, evidence tier (Gold/Silver/Bronze), and citation for a given condition lens. Pass `lenses` (array) instead of `lens` to check several conditions in ONE call (profile-shaped checking, e.g. a user who is pregnant AND has MCAS) — results then carry a per-lens breakdown under `lenses{}`. Every result params: name*, lens, lenses |
check_stack | Audit a supplement/ingredient STACK in one call: per-item condition-lens verdicts (evidence-graded, cited where citations exist) PLUS every curated ingredient-to-ingredient interaction found WITHIN the stack (type, severity, mechanism, source). Use when a user takes multiple supplements together. Supports multi-lens via `lenses`. Absence of an interaction is NOT proof of safety — the curated set i params: ingredients*, lens, lenses |
find_alternatives | Find 2-3 safer swaps for a flagged product: same-category products that rate good/excellent on Clarity's general food/skincare quality score AND contain no ingredient flagged for the given condition lens. Seed by barcode (preferred — e.g. right after scan_barcode flags something) or product_name. Each alternative carries its score, ingredient-recognition coverage, and human_url. The score is a GEN params: barcode, product_name, lens, count |
strain_lookup | Look up a cannabis or mushroom species/strain in Clarity's database. Returns verdict, evidence tier, PMID citation, and safety flags. params: species* |
scan_barcode | Look up a product by barcode (Open Food Facts / Open Beauty Facts), match its ingredients against Clarity's database, return which ingredients are flagged for the given condition lens, AND flag any active FDA recall for the product (recall_flag + recalls[], sourced from FDA — verify via source_url). Anonymous calls are read-only: a local-mirror miss may query the public source but does not refresh params: barcode*, lens, persist_mirror, harvest_crosswalk |
validate_claim | Fact-check a free-text health/safety claim against Clarity's human-curated, evidence-graded database. Given a statement (e.g. 'fenugreek is safe while breastfeeding') and a condition lens, returns whether Clarity's curated position supports / contradicts / does-not-cover it, plus any verified citation on file. Anonymous calls never write the review queue. An authenticated caller may explicitly opt params: statement*, lens, review_consent |
check_interaction | Check Clarity's curated ingredient-to-ingredient interaction database. Give one ingredient to list everything it interacts with (e.g. 'iron'), or two ingredients to check a specific pair (e.g. 'calcium' + 'iron'). Returns interaction_type, severity (Beneficial/Moderate/High), mechanism, clinical_note, source, and whether it affects lactation/infant/absorption. Queries both directions of the pair. params: ingredient_a*, ingredient_b |
score_product | Get Clarity's product quality score by barcode. Returns category-specific scores (food: nutrition/additive/processing/organic; skincare: irritation/allergen/endocrine/condition; supplement: transparency/safety/label_quality/complexity — dose transparency penalizes proprietary blends, safety flags high-risk botanicals) — these are DISTINCT and never merged — plus per-lens fit with match coverage. A params: barcode*, category, lens |
check_recall | Check whether a consumer product or brand has an FDA/consumer recall on file — supplements, food, cosmetics (NOT medical devices). Query by `brand` (primary), optionally narrow by `product_name`. Returns recall_flag, whether any active Class I (most serious) recall exists, and each matching record with classification, reason, date, status, and a source_url to verify. Recall data has no barcode, so params: brand*, product_name |
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