OMOP MCP Server
Related Servers
Alternatives to OMOP MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceUnified MCP server providing LLMs with reliable lookup access to ICD-11, LOINC, RxNorm, MeSH, ATC, CID-10, and (optionally) SNOMED CT.33133 npm13MIT
- AlicenseAqualityCmaintenanceMCP server for FHIR interoperability, enabling natural language querying and manipulation of clinical data with full CRUD operations, semantic search, and RAG capabilities.13MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that provides access to the NIH UMLS API and the NIH VSAC FHIR API. This server enables AI models to search medical terminology, look up concept definitions, explore relationships between medical concepts, map codes between different medical coding systems, and work with curated clinical value sets.1MIT
- FlicenseNot gradedqualityCmaintenanceAn MCP server that enables LLMs to securely query synthetic clinical data through validated, scoped tools (patient summaries, conditions, medications, lab trends, encounters) while maintaining audit logs and access controls.-
- AlicenseAqualityBmaintenanceAn MCP server that gives LLMs live access to clinical trials, FDA drug recalls, adverse-event reports, drug labels, and drug-name normalization via six validated tools.6MIT
- AlicenseBqualityDmaintenanceThis MCP server provides 16 intelligent tools for searching, retrieving, and linking biomedical literature from PubMed and PMC. It enables LLM applications to perform complex queries, batch processing, and cross-database linking.168MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one handles single keyword lookup, the other processes CSV files in batch. There is no overlap or ambiguity.
Both tool names follow a consistent snake_case pattern with descriptive verbs (find, batch_map) and nouns (concept, concepts from CSV), making them predictable.
With only 2 tools, the set feels thin even for a narrow domain. While it covers the core mapping function, a few more tools (e.g., get concept details) would make it more robust.
The tools cover single and batch mapping, which are the primary use cases. However, missing operations like retrieving concept details or filtering by domain leave minor gaps for advanced workflows.