omop
OHNLP/omop_mcp
Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.
- Local integrations
- Cloud integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 41
- Language
- Python
- Forks
- 10
- Latest release
- v.1.0.01y ago
- Activity
- updated 5mo ago
- ai-agents
- healthcare
- mcp-server
- omop-cdm
- ohdsi
First MCP server?Start with the basics
Access biomedical research data from PubMed, ClinicalTrials.gov and MyVariant.info.
Access and analyze exported Apple Health data.
Typed FHIR tools: build, read, validate and code FHIR resources from a patient bundle, with terminology lookup and machine-readable validation reports.
Search, retrieve, create, update and analyze clinical data via FHIR APIs, with SMART-on-FHIR authentication.
Query medical information, drug databases, drug interactions and clinical guidelines.
Connect to FHIR servers, for example to query patient history in natural language.
Local-first access to the Google Health API for Fitbit and Pixel Watch activity, sleep, heart, nutrition and reconciled health data.
Spatial transcriptomics analysis: cell annotation, deconvolution, spatial statistics and visualization.