How MigrateForce Works
Seamlessly transform your existing REST APIs into AI-ready MCP tools in four straightforward steps.
1. Upload Your OpenAPI Specification
Begin by uploading your existing OpenAPI (Swagger) specification. Our platform intelligently parses and validates your API structure, providing a clear foundation for migration.
Key Capabilities:
- Supports OpenAPI v2.0, v3.0, and v3.1 (JSON or YAML)
- Automated validation and clear error feedback
- Structured overview of your imported API endpoints
2. Configure MCP Tool Mappings
Visually define how each REST endpoint translates into a distinct Model-Controller-Prompt (MCP) tool. Customize tool names, descriptions, and decide which endpoints to include.
Key Capabilities:
- Intuitive interface for mapping endpoints to tools
- Editable tool names and descriptive fields
- Control over parameter exposure (future enhancement)
- Securely handles original API authentication pass-through (as configured)
3. Generate & Test Your MCP Server
Instantly generate the source code for your MCP server. Utilize our integrated testing environment to simulate AI agent interactions and verify tool functionality.
Key Capabilities:
- One-click generation of server boilerplate (Python/FastAPI based)
- Downloadable Dockerized project for local execution
- Integrated testing interface for invoking MCP tools
- View real-time request/response logs during tests
4. Deploy & Integrate
Deploy your generated MCP server to your preferred cloud environment. We provide guidance and a portable Docker setup for flexibility.
Key Capabilities:
- Deploy anywhere with Docker containerization
- Guides and best practices for common cloud platforms (AWS, GCP, Azure, Vercel)
- Ready for integration with AI agent frameworks and orchestrators
- Focus on your AI logic, not on REST-to-MCP plumbing
