Inspector is a powerful visual testing tool designed specifically for MCP servers, enabling developers to ensure the quality and performance of their applications. With its robust features, it streamlines the testing process, making it essential for teams focused on delivering flawless user experiences.
claude install modelcontextprotocol/inspectorInspector is a powerful visual testing tool designed specifically for MCP servers, enabling developers to ensure the quality and performance of their applications. With its robust features, it streamlines the testing process, making it essential for teams focused on delivering flawless user experiences.
Automating visual regression tests for web applications to catch UI discrepancies early.
Ensuring UI consistency across different browser versions to maintain a uniform user experience.
Integrating visual tests into CI/CD pipelines for continuous quality assurance.
Identifying visual bugs before production deployment to prevent user-facing issues.
claude install modelcontextprotocol/inspectorgit clone https://github.com/modelcontextprotocol/inspectorCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Test the performance and visual integrity of the application hosted on [SERVER_URL]. Use Inspector to identify any discrepancies in the UI and report on performance metrics such as load time and responsiveness. Provide recommendations for improving any identified issues.
Upon testing the application hosted on https://exampleapp.com, Inspector identified several key issues. The homepage took an average of 4.5 seconds to load, which is above the recommended threshold of 3 seconds. Visual discrepancies were noted in the navigation bar, where the color scheme did not match the design specifications, specifically the 'Sign Up' button appearing in a darker shade than intended. Additionally, the responsiveness of the application on mobile devices was subpar, with elements overlapping on screens smaller than 768px. Recommendations for improvement include optimizing image sizes to reduce load time, correcting the CSS for the navigation bar, and implementing a responsive design framework to enhance mobile usability.
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