"How to Query a Knowledge Graph Using an Ontology" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Link compounds to protein targets, rank bioactivity, and look up drug mechanisms and indications.
HLA nomenclature and match checks against a pinned IPD-IMGT/HLA release. No patient identifiers.
BioBricks: the site's own MCP server — dataset, enquiry (enquiry = a human handoff, not a...
Official answers about Helena Bioinformatics and its products, with citations to public sources.
Query CAN-IMMUNE: cancer neoantigen mutations, peptides, cell lines, MHC-I binding. Read-only.
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.
Mondo — condition-string resolver onto the Mondo Disease Ontology.
Monarch biomedical knowledge graph — diseases, phenotypes, genes, variants
Serves the user's personal DNA wellness report to their AI: caffeine response, sleep timing, training, nutrient absorption. Built from a hand-checked evidence base (GWAS Catalog, PharmGKB); every finding states its effect size and links to its source paper. No disease risk scores. The raw DNA file is parsed in the user's browser and never uploaded.
QuickGO (EBI) MCP — Gene Ontology browser.
