A side-by-side look at the Catalyst evidence graph 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 Catalyst evidence graph 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.
find_evidence, search_nodes, get_findings.check_ingredient, check_stack, find_alternatives.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 | 0 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 7 | 9 |
| Full listing | View Catalyst evidence graph | View Clarity MCP |
find_evidenceUse this when someone asks what a supplement, nutrient, drug, food compound or plant does in the body, or whether it affects something specific (for example "does magnesium help sleep?", "what is creatine shown to do?", "omega-3 and triglycerides"). Pass the substance (or an outcome such as "sleep") as query, and the specific effect, if there is one, as about. One call resolves the name to the node that has findings and returns them, each with its evidence strength in words, the study design, the quote, the paper, a permalink and a citation to quote as it stands. Without about, summary lists everything the node has findings about. If nothing matches, it says so: tell the person Catalyst has no findings on it rather than answering from memory as though from Catalyst. An evidence strength says how well the evidence supports a finding; it is not a recommendation.search_nodesSearch the Catalyst evidence graph by name or synonym (for example "magnesium", "vitamin D", "sleep", "creatine"). Returns node ids to pass to get_findings or get_relations. Each hit says how many findings it has, and hits with findings come first, so the first hit with findings above 0 is usually the one to use. It finds things; it does not say anything about them.get_findingsThe curated study findings for one node: for a compound, organism or material, what it has been shown to affect; for an outcome, which compounds have been studied against it. summary lists everything the node has findings about, one row each, across ALL its findings and not only the rows returned. Use it to see what is covered, then pass about (an id from summary, or words such as "sleep") to get the findings on one thing. Each finding carries its evidence strength, one of five named levels from strong to insufficient (strong, moderate, limited, very_limited, insufficient), the verbatim sentence it was drawn from, the paper, the population and dose, and a permalink. An evidence strength says how well the evidence supports the finding; it is not a recommendation. Always give the evidence strength with the claim, and link the permalink. An empty list means nothing has been curated yet, not that the compound does nothing.get_findingOne finding by its id (the last part of a permalink, /e/{id}): the claim, its evidence strength and what that level means, the verbatim quote, the study design and the paper, and evidence_strength_reasons: each rule that set the level, in order, and what the assessment does not weigh. Use it to explain why the evidence behind a finding is as strong as it is, from evidence_strength_reasons rather than by guessing.get_relationsWhat public reference databases (Reactome, UniProt, Rhea, ChEBI and others) record about a node: transporters, enzymes, pathways, expression. Every row is assertion_class 'inferred': a hypothesis about how a compound could act, not a result anyone measured in people. Present these as possible mechanisms and never as effects. For effects, use get_findings.get_reactionsBiochemical reactions from Rhea and Human-GEM that a compound is a substrate or product of, or that a protein catalyses or transports. Every row is assertion_class 'inferred': a reaction two public databases record, not a result anyone measured in a person. Present these as known biochemistry, never as an effect a compound has, and never as a recommendation. For effects, use get_findings. A compound flagged is_hub (water, ATP, protons and the like) returns its reaction count only, because it participates in nearly everything and a row list would not be biology anyone reads. Coverage: the whole of one Rhea release and one Human-GEM release, each reaction counted once; a participant that is not a node in this graph is listed but not linked, and only human enzymes that are nodes are listed at all. An empty result means no reaction in those releases names this node, not that the body has none.reachBreadth-first reachability through the reactions two public databases (Rhea, Human-GEM) record: what a compound could become, and through which reactions and enzymes, within up to 3 steps. Every route is assertion_class 'inferred': a hypothesis drawn from reference databases, never a measured or reported effect. Present it as known biochemical connectivity — never as an effect, a recommendation, or a claim that the body actually does this. For measured effects, use get_findings. Common cofactors and currency species (water, ATP, protons and the like) are excluded as intermediate steps, so a route never reads 'reaches everything through ATP'. A currency species is also never materialised as from_id or to_id itself — asking about one returns reachable: null with a coverage note explaining that, not a checked "0 routes". Give to_id to check one target compound; omit it to list everything from_id reaches. A route not being found can mean three different things, and the result's coverage field says which: reachability may not have been BUILT for this scope yet (nothing has been checked); it may have been checked and found NOT REACHABLE through the reactions loaded — never read that as "the body cannot make it"; or the compound asked about may be a currency species, structurally excluded rather than searched.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).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.
{
"mcpServers": {
"catalyst-evidence-graph": {
"url": "https://catalystproject.ai/mcp"
}
}
}
{
"mcpServers": {
"thehealthai-clarity-mcp": {
"url": "https://mcp.healthai.com"
}
}
}