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# LearnMCP-xAPI LearnMCP-xAPI is an open-source MCP (Model Context Protocol) server that enables AI agents to record and retrieve learning activities through xAPI-compliant Learning Record Stores. Unlike traditional educational AI tools that focus on content generation or automated grading, LearnMCP-xAPI creates a bridge between AI interactions and learning analytics, allowing intelligent systems to build contextual understanding of what learners know, practice, and achieve. This project addresses a fundamental gap in AI-powered education: the ability for AI agents to maintain persistent, structured records of learning progress that can inform future interactions and provide evidence of skill development. Whether you're building AI tutoring systems, personalized learning assistants, or educational analytics platforms, LearnMCP-xAPI provides the infrastructure to make AI interactions learning-aware. > **Important Note:** LearnMCP-xAPI is designed as a foundational component for educational technology systems. It enables AI agents to participate meaningfully in the learning process by maintaining awareness of student progress, but it does not replace thoughtful pedagogical design or human educational expertise.

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## Table of Contents [Motivation](#motivation) [How LearnMCP-xAPI Works](#how-learnmcp-xapi-works) [Key Features](#key-features) [Architecture Overview](#architecture-overview) [Getting Started](#getting-started) [Integration Guides](#integration-guides) [License](#license) [Contributing](#contributing) ## Motivation The current landscape of AI in education is dominated by familiar patterns: pre-made prompts, automated content generation, and the eternal struggle between students wanting AI to do their work and teachers trying to prevent exactly that. This approach treats AI as either a shortcut or an obstacle, missing the transformative potential of intelligent systems that can genuinely support learning. The inspiration for LearnMCP-xAPI came from observing this fundamental disconnect. Most educational AI tools operate in isolation—they generate responses, create activities, or analyze text, but they don't learn from or contribute to a student's ongoing educational journey. There's no memory of what a student has practiced, struggled with, or mast

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LearnMCP-xAPI