Enables AI assistants to look up, search, validate, navigate hierarchies, and expand value sets for SNOMED CT clinical terminology through the Model Context Protocol.
Provides AI assistants instant access to WHO ICD-10 and ICD-11 classification systems for code lookup, search, autocoding, validation, and hierarchy browsing via 12 tool actions.
Provides keyless access to NIH clinical data including ICD-10/9, RxTerms, LOINC, NPI, and conditions search, allowing AI agents to query medical terminologies without authentication.
Enables AI agents to manage virtual clinic data including patients, visits, diagnoses, treatments, lab/radiology orders, and search medical literature and internal knowledge base.
Enables LLMs and AI agents to query a biomedical knowledge graph stored in RedisGraph, with tools for concept search, synonym enrichment, and study variable discovery through semantic relationships.
Enables LLMs and AI agents to search a biomedical knowledge graph for concepts and study variables, traverse semantic relationships, and look up BioData Catalyst PIC-SURE paths for cohort building.
