"How to Query a Knowledge Graph Using an Ontology" matching MCP connectors:
Matching Connector Tools:
Condition-aware ingredient & product safety intelligence for agents: verdict + evidence tier + per-claim evidence_state (cited = ≥1 verified citation / referenced = sourced-but-unverified) + citations, across breastfeeding, pregnancy, histamine/MCAS, rosacea, HS, allergy, fertility, and toddler lenses. Includes validate_claim to fact-check a free-text health claim against curated cited sources.
Hosted, zero-install MCP for source-provenanced US federal healthcare provider data. Resolve any NPI or CCN across NPPES, OIG LEIE, SAM.gov, state Medicaid exclusions, PECOS, Care Compare, and Open Payments — every field carries a 14-field provenance contract, with an "excluded or compromised anywhere" check on every lookup.
Appendix turns any AI health conversation into a board-certified physician's opinion — with a real prescription when clinically appropriate. Search medical literature and submit a clinical encounter for review, all from your agent.
Search ClinicalTrials.gov — find studies, retrieve results, match patients to eligible trials.
Deterministic CMS NCCI/MUE claim scrubbing and CARC/RARC denial explanations, cited to source.
Analyze biomarker panels with an MD-led clinical engine. Guideline-cited. Synthetic data only.
Read-only catalog, sequence, evidence, policy, and COA-verification lookup for an RUO supplier.
Hosted MCP server exposing US hospital procedure cost data to AI assistants
Evidence-based supplement research for AI assistants. Query 4,794 clinical effect edges across 290 supplements and 502 biomarkers, 765 supplement-supplement interactions, 1,634 FDA drug interactions, and 22,570 product quality scores with AviScore ratings. 8 tools: supplement and biomarker lookup, drug and supplement interactions, brand quality rankings, condition-based supplement recommendations, fuzzy search for supplements and health conditions.
Verified biotech catalyst calendar (PDUFA/AdComm/trial readouts) anchored to official sources.
Drug-drug interaction checker for clinical LLMs using RxNorm and DailyMed.
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) MCP — keyless.
Glucose readings from your LibreLink Up sensor: graph, logbook, stats and summaries (read-only). Sec
Open Targets disease/target/drug knowledge graph (GraphQL)
Human Phenotype Ontology — clinical phenotype terms + gene/disease annotations
Monarch biomedical knowledge graph — diseases, phenotypes, genes, variants
Negative results intelligence for drug discovery — query measured failures via MCP.
Disease Twin — Brazil's rare-disease knowledge graph (10,468) over MCP. Source-grounded, PT-BR.