MCP servers and skills: search, filter by where they run, and compare.
AI-native HL7 v2 toolkit with generation, validation, HL7→FHIR conversion, MCP & Claude Code integration. Bringing healthcare interoperability into the AI-native developer ecosystem
SkillMIT★ 13No key
HL7 FHIR R4 health-data API for AI agents: free sandbox, 30 synthetic patients, AI-ready context.
Hosted by authorNo licenseFew starsNo key
Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or kee
PythonApache-2.0★ 1.4kNo key
Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic da
PythonMIT★ 116No key
MCP server for generating and querying privacy-preserving synthetic health data. FHIR-compliant, differentially private.
Hosted by authorMIT★ 1Few starsNo key
Open-source guardrails between AI agents and FHIR clinical data — PHI redaction, immutable audit, step-up auth, tenant isolation. MCP server + OpenAI/Gemini adapters. A healthclaw.io project.
SkillMIT★ 31No key
MCP server for OHDSI OMOP medical vocabularies. Search, map, and navigate 11M+ concepts (SNOMED, ICD-10, RxNorm, LOINC) from any AI agent.
Node.jsMIT★ 6Needs a key
Self-hosted, open-source API for wearable and health data, in Go. Syncs Apple Health, Health Connect, Oura, WHOOP, Withings, Strava, Fitbit, Dexcom and more into one model, served over REST, FHIR R4,
GoAGPL-3.0★ 5No key
Open Claude Code skills for data product managers: discover user needs, define quality, govern healthcare data, and carry evidence into decisions.
SkillMIT★ 5No key
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