omcp
If you are the rightful owner of omcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
OMCP is a Model Context Protocol server for the OMOP Common Data Model, enabling AI models to interact with healthcare data in a standardized way.
OMCP is a server implementation designed to facilitate the interaction between AI models and healthcare data stored in the OMOP Common Data Model. By providing a standardized interface, OMCP allows for efficient querying and analysis of healthcare data, which is crucial for research and development in medical outcomes. The server is part of the broader Model Context Protocol initiative, which aims to standardize how models interact with various data formats. OMCP is particularly useful for organizations and researchers who work with the OMOP CDM, as it streamlines the process of accessing and utilizing complex healthcare datasets.
Features
- Standardized Interface: Provides a consistent way for AI models to access OMOP CDM data.
- Efficient Querying: Optimized for fast and efficient data retrieval and analysis.
- Interoperability: Supports integration with various AI models and tools.
- Scalability: Designed to handle large datasets typical in healthcare research.
- Security: Implements robust security measures to protect sensitive healthcare data.
