An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Features comprehensive drug search, ontology exploration, and real-time clinical trial data access.
An MCP server that enables access to clinical evidence from the CIViC database, allowing users to search across variants, diseases, drugs, and phenotypes to support precision oncology research.
A Model Context Protocol server that connects AI tools to Electronic Health Records using SMART on FHIR, allowing secure searching, querying, and analysis of patient data from compatible EHRs.
Enables AI assistants to query and analyze medical imaging metadata from DICOM servers, including patient information, studies, series, and instances, as well as extract text from encapsulated PDF documents.
Leverages large language models to analyze users' WeGene genetic testing reports, providing access to report data via custom URI schemes and enabling profile and report management through OAuth authentication and API utilization.
A connectivity testing server that enables DICOM network operations (like C-ECHO) through Claude's Model Context Protocol, with support for node configuration management.
Integrates with Google Maps to locate and evaluate medical facilities in emergency situations, helping users find appropriate hospitals and clinics based on medical needs, emergency level, and facility capabilities.
MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!
A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.
A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.
Provides access to the ClinicalTrials.gov AACT database, enabling analysis of clinical trial data, tracking development trends, and generating therapeutic landscape insights.
Enables querying sleep, readiness, and resilience data from the Oura API via the Model Context Protocol (MCP), allowing natural language interaction and seamless integration with tools like Claude.
A TypeScript-based MCP server that connects to FHIR servers, allowing access to healthcare data via fhir:// URIs and providing search capabilities for FHIR resources.
A Model Context Protocol server that provides language models with access to Strava API data, allowing them to query and analyze athlete activities from Strava.