OMOPHub MCP Server
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TDQS
Scored across 11 tools
search_concepts, semantic_search, and find_similar_concepts all return concepts from free-text input and overlap heavily, especially since find_similar_concepts defaults to semantic matching. explore_concept also duplicates the combined output of get_concept, get_hierarchy, and map_concept, making the granular tools harder to choose. Detailed descriptions help, but an agent would frequently need to guess which search-style tool is intended.
Most tools follow a verb_object snake_case pattern such as search_concepts, get_concept, map_concept, and list_vocabularies. semantic_search is a noun phrase rather than a verb command, and fhir_resolve / fhir_resolve_codeable_concept place 'fhir' before the verb, but these deviations are minor and still predictable.
11 tools is within the ideal 3-15 range and not excessive for an OMOP vocabulary server. However, find_similar_concepts/search_concepts/semantic_search and explore_concept/get_concept/map_concept/get_hierarchy overlap, so the set is slightly heavier than necessary even though the count is reasonable.
The set covers concept searching, detail retrieval, code lookup, hierarchy navigation, cross-vocabulary mappings, vocabulary metadata, and FHIR resolution—no obvious dead ends. It supports the full typical workflow of finding and resolving concepts from terms, codes, or FHIR resources. Niche relationship types or bulk operations are missing, but they appear outside the stated scope.