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Add tatsuju/opdstar-nhi-mcp — Taiwan NHI MCP server
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@@ -273,6 +273,7 @@ Design and visualize software architecture, system diagrams, and technical docum
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- [longevity-genie/synergy-age-mcp](https://github.com/longevity-genie/synergy-age-mcp) 🎖️ 🐍 🏠 ☁️ - MCP server for the SynergyAge database of synergistic and antagonistic genetic interactions in longevity.
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- [neptun2000/heor-agent-mcp](https://github.com/neptun2000/heor-agent-mcp) [](https://glama.ai/mcp/servers/neptun2000/heor-agent-mcp) 📇 ☁️ - HEOR (Health Economics and Outcomes Research) MCP server with 7 tools for literature search across 41 medical data sources (PubMed, NICE, CADTH, ICER, etc.), cost-effectiveness modeling (Markov/PartSA/PSA), and HTA dossier preparation for pharmaceutical and biotech teams.
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- [OHNLP/omop_mcp](https://github.com/OHNLP/omop_mcp) 🐍 🏠 ☁️ - Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.
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- [tatsuju/opdstar-nhi-mcp](https://github.com/tatsuju/opdstar-nhi-mcp) 📇 ☁️ - Taiwan's first public MCP server for National Health Insurance (NHI) data — 234 rejection codes, 1,497 ICD-10→procedure mappings across 20 specialties, audit indicators (008/014/027/P043), and semantic wiki search over 8,232 chunks of official NHI documentation. Powered by [OPDSTAR](https://opdstar.com). Install: `npx @opdstar/nhi-mcp`.
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- [pkotecha-eng/aria-mcp-server](https://github.com/pkotecha-eng/aria-mcp-server) [](https://glama.ai/mcp/servers/pkotecha-eng/aria-mcp-server) 🐍 - Clinical research MCP server for trial coordinators and life sciences teams. Real-time access to PubMed (35M+ papers) and ClinicalTrials.gov (400K+ trials). No API key required.
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- [the-momentum/apple-health-mcp-server](https://github.com/the-momentum/apple-health-mcp-server) 🐍 🏠 🍎 🪟 🐧 - An MCP server that provides access to exported data from Apple Health. Data analytics included.
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- [the-momentum/fhir-mcp-server](https://github.com/the-momentum/fhir-mcp-server) 🐍 🏠 ☁️ - MCP Server that connects AI agents to FHIR servers. One example use case is querying patient history in natural language.
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