StandardGraph: MCP for International Education & LLMs

A Knowledge Model (MCP) for international education standards, serving as a foundation for LLM-powered tools.

StandardGraph: MCP for International Education & LLMs

StandardGraph is a Knowledge Model (MCP) designed to represent international education standards. It provides a structured foundation for developing Large Language Model (LLM)-powered applications within the international education sector. This MCP acts as a semantic layer, enabling AI to understand and process complex educational frameworks.

What it Does

StandardGraph formalizes international education standards into a machine-readable format. This allows AI agents and LLMs to query, analyze, and generate content related to these standards. It facilitates the development of tools for curriculum mapping, assessment design, and policy analysis within a global educational context.

Key Features

Structured Knowledge Representation: Organizes international education standards in a graph-based model for clear relationships and hierarchies.
LLM Integration Ready: Designed to be directly consumable by LLMs, enabling advanced natural language understanding and generation capabilities.
Foundation for AI Tools: Serves as a core component for building specialized AI agents and applications focused on international education.
Open Source: Available on GitHub, promoting transparency and community contribution.

Who it's For

StandardGraph is intended for AI developers , researchers , and educators working on AI solutions for international education. This includes teams building LLM-powered educational platforms, curriculum development tools, policy analysis systems, and any application requiring a deep understanding of global educational standards.