Developed and launched an educational MCP server within the punkpeye/awesome-mcp-servers repository, focusing on math operations, statistics, visualization, and persistent workspaces to support data science education. The work centered on creating a reproducible, training-oriented compute environment that streamlines onboarding for learners and researchers by reducing setup time and enabling long-running, persistent tasks. Documentation was updated and expanded using Markdown to clearly communicate new server capabilities and workflows. Leveraging skills in data science, documentation, and educational tools, the developer established a foundation for scalable, reproducible experiments, enhancing the platform’s utility for analytics visualization and collaborative learning experiences.