API Transformation

Make Your APIs
AI-Consumable

CLI-first workflow: one command generates MCP servers from your OpenAPI specs. Deploy to your sovereign mesh—any LLM, any infrastructure you control.

Transform Your APIsSee How It Works

From REST to MCP
in Minutes

Your APIs become AI-native without changing your backend.

Before: Raw REST
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",
  "parameters": {...}
},
{
  "name": "createOrder",
  "description": "Place a new order",
  "parameters": {...}
}

Rich descriptions. Type inference. LLM-ready.

5-Step Transformation
Process

01

Upload Spec

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

02

Analyze

AI analyzes endpoints, infers types, suggests semantic descriptions

03

Enhance

Review and customize tool names, descriptions, and parameters

04

Generate

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

05

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
Timeline
1-3 weeks
Complexity
Low-Medium

Supported Formats

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

Ready to Transform
Your APIs?

Upload your OpenAPI spec, get production-ready MCP servers. Zero lock-in—the output is standard code you own.

Get Started