Categories › Knowledge & Everyday › Health, fitness & medical
Expert-structured medical ontologies, relationships, and evidence for AI research and reasoning.
Remote server: your requests and data go to orafabric.com. Claude Code: claude mcp add --transport http orafabric-medical-ontology-knowledge-bas https://orafabric.com/api/dev/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
retrieve_evidence — Search the whole knowledge base for a research question. Returns an evidence pack: findings, a subgraph and the papers. $0.03. The model wricheck_relation — Evidence for, against and null on one relationship between two named things. $0.03. A finding is returned only when one end matches the subjexplore_concept — What is known around one gene, drug or disease: upstream, downstream and associations. $0.03.get_paper — One paper and the findings extracted from it. Does not return the article text. $0.03.resolve_concept — Match a name, abbreviation or synonym to standard concepts. Free.get_coverage — What the knowledge base currently covers: datasets, concepts and relationships. Free. No arguments.Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.