In global software engineering, practitioners use code metrics analyzers to measure code quality to detect code smells or any technical debt early at the development phase. Different tools exist to evaluate these metrics to ensure the maintainability and reliability of any codebase. This paper presents a tool SCMA (Swift Code Metrics Analyzer) which analyzes swift code considering ten code metrics for analyzing software architecture to ensure code quality. We have used the native swift parser to implement this tool. This tool suggests refactoring the codebase by giving a final score averaging the score of all ten metrics. We have validated the accuracy of each metric measured by this tool by analyzing the codebase manually. This tool can help the developers to inspect the swift modules of iOS projects and give an insight into the improvement area of each project.