An MCP server that enables AI assistants to call statistician's decision logic for recommending statistical tests, checking assumptions, interpreting results, and planning sample sizes.
Exposes academic advising tools over stdio so an AI assistant can retrieve student profiles, transcripts, and curricula, check graduation requirements and requirement groups, calculate current and planned GPAs, and recommend retakes, courses, study plans, and career-to-specialization matches. All computations run deterministically in Python and return UNKNOWN rather than guessing when verified academic thresholds are missing.
Extends the official Obsidian MCP server with intelligent learning and second-brain features, including AI-generated challenges, progress analytics, spaced repetition, and knowledge gap analysis.