Education Publisher McGraw Hill Announces MCP-Based Agentic AI Plugin for Microsoft Copilot
McGraw Hill will integrate its proprietary educational content into Microsoft Copilot via the Model Context Protocol (MCP), allowing users to generate learning resources directly within the platform, with a beta launch planned for early 2027.
McGraw Hill, Inc. (NYSE: MH), a leading global provider of education solutions, announced on October 29, 2026, that it will launch an agentic AI education plugin for Microsoft 365 Copilot. The initiative aims to enable higher education and school district customers with Copilot licenses to securely access McGraw Hill's proprietary course materials through Copilot to support teaching and learning.
The integration utilizes the Model Context Protocol (MCP), a standard that allows AI tools like Copilot to connect securely with external content and systems. McGraw Hill becomes one of the first major education companies to make its K-12, higher education, and professional learning content available to Copilot users via this protocol. Through the plugin, educators and students can summarize, translate, and adapt licensed course materials within the Copilot environment to generate personalized study aids, lesson plans, and other resources.
Dave Cortese, Chief Digital Information Officer at McGraw Hill, stated that AI represents a new growth opportunity, enabling the company to bring trusted content to more people across a growing range of platforms while maintaining control over how its content is used and valued. Deirdre Quarnstrom, Vice President of Microsoft Education Experiences, noted that the collaboration helps institutions adopt AI responsibly in a secure, governed manner, leveraging McGraw Hill's credibility and scale.
This plugin is part of McGraw Hill's broader agentic AI strategy, which already includes embedded AI tools like AI Reader and Sharpen in its digital products. According to the official announcement, McGraw Hill will begin a limited beta of the Copilot plugin in early 2027. This move reflects how traditional content publishers are adjusting their distribution strategies as general-purpose large models become primary workflow entry points.