Compliance-Ready Backend for AI Builders
Connect compatible AI development tools like Claude, Cursor, and more to DrapCode through MCP and build applications with backend capabilities, data, workflows, & integrations designed around your business requirements.
Build with Your Preferred AI Tool
Use the AI development environment that fits your workflow. Describe your application in natural language, refine its functionality, and connect it with DrapCode's available capabilities through MCP.
Connect Your AI Tool
Connect your development environment to DrapCode and start working with the functionality exposed through its MCP Server.
Step 1: Set Up Your Project
Create a DrapCode project or prepare an existing project for your application's data, workflows, and integration requirements.
Step 2: Configure MCP
Follow the DrapCode setup instructions to connect your compatible AI tool and complete the required authentication.
Step 3: Build with Prompts
Use natural-language instructions in your AI tool to work with the DrapCode capabilities available through MCP.
A Backend for AI-Built Applications
DrapCode connects AI-powered development with backend capabilities that help businesses develop applications around their workflows, data, and integration needs.
Structured Data
Organize application records and relationships around the information your business needs to manage.
API Integrations
Connect external services, databases, and business systems through supported APIs and integrations.
User Permissions
Define user roles and manage access to application features and information.
Audit Logging
Maintain records of important application activity to support accountability and operational reviews.
Application Workflows
Configure business logic for approvals, notifications, data updates, and recurring operational tasks.
Application Infrastructure
Develop applications with backend and hosting capabilities suited to your requirements and deployment plans.
From Prompt to Working Product
An AI-generated prototype can help validate an idea, demonstrate a workflow, or show potential customers what you're building. Developing a functional application requires additional work on data structures, business rules, integrations, and application behavior. DrapCode MCP allows compatible AI development tools to interact with the capabilities exposed by DrapCode. This helps connect your preferred AI development workflow with the application functionality needed to address real business requirements.
Built for Regulated Industries
Businesses in healthcare, fintech, legal tech, and insurance often handle sensitive information and operate under industry-specific security and regulatory requirements. Their applications need to account for these requirements alongside functionality and user experience.
Healthcare Applications
Develop patient portals, care management tools, and connected healthcare workflows with relevant security safeguards.
Financial Applications
Build lending platforms, loan management systems, and financial workflows around operational requirements.
Legal Technology
Create case management systems, client portals, document workflows, and legal operations applications.
Insurance Applications
Develop policy administration tools, claims workflows, customer portals, and insurance operations software.
Business Portals
Create customer, partner, and employee portals with structured data and role-based access.
Workflow Applications
Develop internal tools that connect business rules, approvals, notifications, and operational tasks.
What Is MCP?
Model Context Protocol (MCP) is a standard that allows compatible AI applications to connect with external tools and services. It provides a structured way for AI development environments to access capabilities made available by connected systems. With DrapCode MCP, compatible AI tools can interact with the functionality exposed by DrapCode's MCP Server. The available operations depend on the MCP implementation, authentication requirements, and project configuration.
Keep Control of Your Application
Your application may grow beyond its initial requirements as your business, customers, and workflows evolve. You may need additional functionality, custom development, or a different deployment approach. DrapCode supports source code export, giving you options for future customization and development. The work required to operate an exported application independently depends on its architecture, dependencies, and target environment.
Frequently Asked Questions
What is the DrapCode MCP Server?
Which AI development tools work with DrapCode MCP?
What can I build with DrapCode MCP?
Can I use DrapCode for regulated applications?
Can I connect an existing AI-built application to DrapCode?
Connect Your AI Workflow to DrapCode
Keep using the AI development tools you prefer. Connect them to DrapCode through MCP and build applications with backend capabilities, workflows, integrations, and infrastructure suited to your business requirements.