MCP server that builds a personal course: learner profile, keyless research with sources, evidence-based roadmap, schedule, and export to Aurora Slides
View on GitHub ↗Named after Polaris, the North Star: the whole sky turns around it, the way a roadmap keeps every lesson on course.
Polaris is a Model Context Protocol (MCP) server and command-line interface (CLI) that gives coding agents (Claude Code, Google Antigravity, Cursor) the deterministic structure, persistence, research discovery, source capture, schedule planning, slide deck export, and quality gates to build personalized, evidence-based study courses.
Sister project to Aurora Slides MCP, which renders the presentations.
1. The agent reasons, Polaris structures: Every artifact is strictly validated with Zod schemas and rendered into Markdown or Aurora course inputs. Typos produce actionable, corrective error messages with "did you mean...". 2. Evidence first: Every factual bullet in a roadmap cites verified facts; every fact points to a source plus a precise locator (timestamp [mm:ss], page [p. N], section, line numbers). Labels distinguish primary truth (course), extensions (extension), and unverified claims (unverified). 3. Learner fit: The learner profile drives language (Vietnamese by default with correct diacritics), weekly study slots, blackout periods, session recipes (30m, 60m, 90m lab), study techniques (theory - memory anchors - paper notebook - practice easy-to-hard - recall walk; predict-then-run for code), and the review engine (one adaptive scheduler, Vega FSRS, or the older fixed D+ steps). 4. Quality gates: Automated gates verify brief completeness, source labels and quality scores, fact locators, outcome coverage, dependency DAG cycles, and flag overclaims. 5
From the project README.
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