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"How to Query a Knowledge Graph Using an Ontology" matching MCP connectors:
Matching Connector Tools:
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
Monarch biomedical knowledge graph — diseases, phenotypes, genes, variants
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.