OpenAPI to MCP Server is a dynamic tool that converts OpenAPI/Swagger specifications into MCP servers, enabling AI assistants to interact with REST APIs. It loads API definitions from local files or remote URLs and supports OpenAPI overlays to modify or extend specs. OpenAPI operations can be mapped to MCP tools with customizable settings, and you can finely control exposure using advanced glob-based filtering on operationId and URL paths. Parameter handling preserves formats and includes location metadata to ensure accurate request construction. The server uses OpenAPI metadata (title, version, description) to configure itself and employs hierarchical description fallbacks (operation description → operation summary → path summary) for clearer tool descriptions. It supports custom HTTP headers via environment variables and CLI, and includes X-MCP headers for request tracking. Path-level x-mcp extensions allow overriding tool names and descriptions. Configuration is flexible: you can specify options via CLI, environment variables, or a JSON configuration file, and the project provides guidance for forking, customizing, and publishing branded MCP servers. The project also enables API lifecycle operations such as token and user management and analytics via MCP tooling.