FHIR Healthcare Data
Universal FHIR MCP server implementation by Kushagra Dutta that provides AI assistants with access to multiple FHIR healthcare data servers including HAPI FHIR, Firely Server, and other major vendor endpoints through a unified interface. The implementation features intelligent server switching, clinical keyword extraction using OpenAI GPT-4, fuzzy matching for mapping clinical terms to FHIR codes, and patient similarity search based on age, gender, and medical conditions. Built with enterprise-grade features including vendor-specific query optimization, comprehensive error handling, and caching mechanisms, it serves healthcare developers building clinical decision support tools, researchers analyzing patient cohorts across different FHIR implementations, and AI applications requiring standardized access to diverse healthcare data sources without managing individual server complexities.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/kushagra-dutta/fhir-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve FHIR Healthcare Data from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.