API Transformation

Make Your APIsAI-Consumable

Convert REST APIs to MCP servers in minutes. Add semantic descriptions, structured I/O, and deploy to any LLM platform.

Transform Your APIsSee How It Works

From REST to MCP in Minutes

Your APIs become AI-native without changing your backend.

Before: Raw REST API
GET /api/users/{id}
POST /api/orders
PUT /api/products/{sku}

No semantic context. LLMs can't understand intent.

After: MCP Tools
{
  "name": "getUser",
  "description": "Retrieve user profile by ID",
  "parameters": {...}
},
{
  "name": "createOrder",
  "description": "Place a new order",
  "parameters": {...}
}

Rich descriptions. Type inference. LLM-ready.

5-Step Transformation Process

1

Upload Spec

Upload your OpenAPI/Swagger specification or let our agent discover endpoints

2

Analyze

AI analyzes endpoints, infers types, suggests semantic descriptions

3

Enhance

Review and customize tool names, descriptions, and parameters

4

Generate

Generate production-ready MCP server with Docker, docs, and manifest

5

Deploy

Deploy to any LLM platform—Claude, GPT, or your own infrastructure

What You Get

A complete, production-ready MCP server package that works with any LLM platform.

  • Production-ready MCP server (Python/Docker)
  • Enhanced OpenAPI spec with semantic descriptions
  • Tool manifests for LLM consumption
  • Authentication integration
  • Error handling and rate limiting
  • Deployment documentation

Generated Package

mcp_server.zip
├── main.py
├── Dockerfile
├── requirements.txt
├── README.md
├── .env.example
└── mcp-manifest.json
Typical timeline: 1-3 weeks
Complexity: Low-Medium

Supported API Formats

OpenAPI 3.xSwagger 2.0REST APIsSOAP (with WSDL)GraphQLgRPCLegacy APIs

Ready to Transform Your APIs?

Upload your OpenAPI spec and see your MCP server in minutes.

Get Started