Generates comprehensive OpenAPI 3.0 specifications from source code to enable seamless MCP server integration and API documentation.
This skill automates the creation of high-quality, compliant OpenAPI (Swagger) documentation by analyzing your codebase's route definitions, controllers, and data models. It ensures all endpoints include descriptive metadata, strict parameter types, and realistic response examples, making your API instantly compatible with OpenAPI Model Context Protocol (MCP) servers for AI-driven interaction. It simplifies the transition from raw code to a fully documented, machine-readable API interface.
Características Principales
010 GitHub stars
02Direct compatibility with OpenAPI MCP servers
03Comprehensive data model and DTO extraction
04Strict OpenAPI 3.0/3.1 YAML/JSON compliance
05Automatic route and controller analysis
06Mandatory realistic request and response examples
Casos de Uso
01Preparing internal APIs for use with AI agents and MCP tools
02Converting existing legacy codebases into documented APIs
03Standardizing documentation across microservices and team projects