Dietary Supplement Analysis (NIH data) vs Clarity MCP
A side-by-side look at the Dietary Supplement Analysis (NIH data) and Clarity MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Dietary Supplement Analysis (NIH data) for biology & bioinformatics work over a hosted endpoint; choose Clarity MCP for biology & bioinformatics over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Dietary Supplement Analysis (NIH data) when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
stack_analyze, products_search, products_lookup.
Choose Clarity MCP when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
check_ingredient, check_stack, find_alternatives.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Biology & Bioinformatics | Biology & Bioinformatics |
| Quality signal | 57/100 · Good | 56/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 7 | 9 |
| Full listing | View Dietary Supplement Analysis (NIH data) | View Clarity MCP |
Tools & capabilities
Dietary Supplement Analysis (NIH data) tools 7
stack_analyzeCheck a list of dietary supplements for a person: per-nutrient daily totals against NIH upper limits (UL) and RDA/AI, which products overlap, what each UL protects against, and single-product changes that would bring an above-UL nutrient back under it. Products can be given as names ("Centrum Silver Women 50+"), barcodes, DSLD IDs, or custom ingredient lists; optional candidates are evaluated as additions. Pass the person's medications and conditions (smoker, kidney_disease, hemochromatosis, lab_test_soon, cancer_treatment) to check them against the interactions in the NIH fact sheets. Returns agent_summary (plain sentences to relay), resolutions, suggestions, interactions, nutrient_totals and data_gaps. Label data only; food is included only with diet "typical".products_searchSearch the NIH Dietary Supplement Label Database by product name, brand or ingredient. Returns up to 10 products (one per product; older label versions listed in other_versions) with DSLD IDs.products_lookupLook up a supplement by the UPC/EAN barcode printed on the bottle. Returns the newest matching DSLD label, normalized, and any older versions.products_getFull normalized supplement labels by DSLD ID (up to 10): every ingredient with label amount, converted amount, form and %DV.interactions_checkWhich vitamins and minerals interact with given medications (generic or brand names, e.g. "warfarin", "Synthroid") or conditions, per the NIH Office of Dietary Supplements fact sheets, with timing advice (e.g. take levothyroxine 4 hours apart from calcium). No product list needed; to check an actual stack, pass medications to stack_analyze instead. Not exhaustive.products_fda_reportsFDA recalls and adverse event reports (CAERS) for one supplement, from openFDA. Give a product name, barcode, DSLD ID, or brand and name. Recalls are listed only when they carry the barcode or the brand and every product-name word; adverse event reports are counted with their most common reactions. Reports do not show that a product caused an event.nutrients_referenceNIH reference values (RDA, EAR, AI, UL) for one vitamin or mineral at a given age and sex, with what the UL protects against. Offline and instant.
Clarity MCP tools 9
check_ingredientLook 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 includes human_url, a live Clarity page to hand the user as the source link.check_stackAudit 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 is growing. Every result includes human_url for the user.find_alternativesFind 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 GENERAL quality score, not a condition verdict — verify a chosen alternative with scan_barcode or check_stack. Food and skincare only (supplement swaps are declined honestly for now).strain_lookupLook up a cannabis or mushroom species/strain in Clarity's database. Returns verdict, evidence tier, PMID citation, and safety flags.scan_barcodeLook 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 Clarity's mirror or harvest tokens. An authenticated caller may opt into each bounded side effect with persist_mirror:true and harvest_crosswalk:true.validate_claimFact-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 into a bounded, redacted review signal with review_consent:true. Do not include personal information. Descriptive — not medical advice.check_interactionCheck 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. Absence of a result is NOT proof of safety — the set is curated and growing. Descriptive with sources, not medical advice.score_productGet 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. Always includes data_quality/coverage so a score is never given without its confidence.check_recallCheck 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 matches are brand/name text matches — confirm via source_url. For medical-DEVICE recalls, use the radar MCP (com.healthai/radar).
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Dietary Supplement Analysis (NIH data)
{
"mcpServers": {
"dietary-supplement-analysis-nih-data": {
"url": "https://agents.trackmysupplement.com/mcp"
}
}
}
Clarity MCP
{
"mcpServers": {
"thehealthai-clarity-mcp": {
"url": "https://mcp.healthai.com"
}
}
}
Frequently asked questions
Dietary Supplement Analysis (NIH data) is categorized under Biology & Bioinformatics and uses a remote HTTP/SSE transport. Clarity MCP belongs to Biology & Bioinformatics and uses a remote HTTP/SSE transport. Pick Dietary Supplement Analysis (NIH data) for biology & bioinformatics work and Clarity MCP for biology & bioinformatics.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Dietary Supplement Analysis (NIH data) has no declared pricing — check the project's own site. Clarity MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add dietary-supplement-analysis-nih-data and thehealthai-clarity-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Dietary Supplement Analysis (NIH data) has a quality signal of 57/100 (Good) with 1 views, 0 installs and 1 GitHub stars. Clarity MCP has 56/100 (Good) with 2 views, 0 installs and 0 GitHub stars.