Connect your AI development tools to DrapCode via MCP and build healthcare applications on a secure, production-ready backend.

Keep building with the AI development environment you already use.
Connect your AI development tool to DrapCode and start working with your healthcare application backend through MCP.
Create a DrapCode project or use an existing project as your application backend.
Add the DrapCode MCP Server to your MCP-compatible AI development tool and authenticate your project.
Use prompts from your AI tool to work with the DrapCode capabilities exposed through MCP.
DrapCode provides the backend foundation to take AI-built healthcare applications beyond the prototype stage and prepare them for real-world deployment.
Store and manage application data using a structured backend built for production workloads.
Connect healthcare systems, external APIs, databases, and third-party services your application requires.
Control access to patient, provider, administrative, and operational information through defined user roles.
Maintain visibility into important user and data activity across your healthcare application.
Run the backend logic required for approvals, notifications, data processing, and healthcare workflows.
Deploy your application on secure infrastructure designed for healthcare and regulated workloads.
Building a working interface with an AI coding tool is only part of launching healthcare software. Production applications need a backend that can support protected data, user permissions, security controls, integrations, and operational requirements. DrapCode MCP gives your AI development environment access to DrapCode's backend capabilities, helping you connect what you build with the infrastructure required for a production healthcare application.

DrapCode combines application development capabilities with healthcare-focused security, infrastructure, interoperability, and deployment support.
Run healthcare applications on infrastructure designed to support HIPAA security and data protection requirements.
Sign a Business Associate Agreement for applicable projects handling protected health information.
Use infrastructure and operational controls designed around established security and availability requirements.
Support information security through internationally recognized security management practices and controls.
Control which users can access sensitive healthcare information based on their responsibilities.
Maintain records of important application and user activity needed for accountability and security reviews.
Use your preferred AI development tool for the development experience while DrapCode provides the healthcare backend and infrastructure behind the application.
Connect patient-facing experiences with secure data, authentication, permissions, and healthcare system integrations.
Build applications that exchange information with EHR and EMR systems through supported APIs and integrations.
Support patient onboarding, provider workflows, scheduling, communication, and healthcare data management.
Create coordinated workflows for patients, providers, care teams, tasks, and ongoing treatment activities.
Connect patient-generated health information with dashboards, workflows, alerts, and clinical operations.
Build applications around healthcare-specific processes, permissions, data flows, and system integrations.
Model Context Protocol (MCP) provides a standardized way for compatible AI applications and development tools to connect with external systems, tools, and data sources. With DrapCode MCP, your AI development environment can interact with the DrapCode capabilities made available through the MCP Server, reducing the gap between AI-generated development and your production backend.


Keep the development environment you prefer. Connect it to DrapCode through MCP and build the backend, security, integrations, and infrastructure required for healthcare production.