Integrating with the Conceptual API in Python: Catalog Search, Token Auth and the MCP Learning Loop

Building a Conceptual Curation and Adding Ideas with Student Reasons Generating a Python API Client from an OpenAPI Document The Six Tools of Conceptual's MCP Learning Loop Relaying a Learner's Answers Verbatim to the Conceptual Engine Mastery as a Streak of Correct Answers in Adaptive Learning Posting a Multiple-Choice Question with a Bloom Level to Conceptual Placement by Bisection over a Prerequisite Chain in Adaptive Learning Honoring Conceptual's Delivery Mode and Cognitive Demand Level in Chat Sending a Returning Learner to Conceptual's Resume and Review Links Conceptual's Answer-Key Guarantee: Grading Happens Only on the Server Trying Live API Requests from the Swagger UI Documentation Page