MCP Swagger Server is a tool that converts OpenAPI/Swagger specifications into the Model Context Protocol (MCP) format. It provides zero-configuration transformation so REST APIs defined by OpenAPI become MCP-enabled tools for AI agents. The project includes multiple packages: mcp-swagger-server (core server), mcp-swagger-parser (OpenAPI parser), mcp-swagger-ui (UI in development), and mcp-swagger-api (backend). Core features include zero-config conversion, a progressive CLI that guides users through configuration, support for multiple transport protocols (SSE, Streamable, Stdio), and Bearer Token authentication to protect API access. Quick Start instructions show how to install globally, run with custom OpenAPI URLs, apply operation filters, and optionally use a config file. The README also demonstrates environment-variable configuration and Claude Desktop integration for AI workflows. In short, the MCP Swagger Server enables AI systems to interact with REST APIs by translating API definitions into MCP and offering flexible deployment options.