Microsoft Education MCP Server

The Microsoft Education MCP Server is a specialized Model Context Protocol (MCP) implementation that bridges AI assistants—such as Claude Desktop—with the Microsoft Graph API for education. By exposing a set of well‑structured tools, it lets conversational agents create, update, and manage classroom artifacts directly from the chat interface. This eliminates the need for developers to write custom Graph API wrappers or handle OAuth flows manually, streamlining the integration of AI into educational workflows.

At its core, the server solves a common pain point for educators and developers: interacting with Microsoft’s rich education data (classes, assignments, rubrics, rosters, and submissions) through a conversational UI. Instead of navigating the Graph Explorer or building separate REST clients, an AI assistant can issue high‑level commands like “Create a new assignment for Class 101” or “List all submissions for Assignment 5.” The MCP server translates these intents into authenticated Graph API calls, returning structured JSON that the assistant can present or act upon. This capability is invaluable for building intelligent tutoring systems, automated grading helpers, or administrative dashboards that respond naturally to user queries.

Key features of the server include:

• Delegated OAuth via MSAL: Securely authenticates with Microsoft Entra ID, obtaining the permissions required to read and write education data.
• Domain‑oriented tool sets: Separate modules for classes, assignments, rubrics, rosters, and submissions keep the codebase modular and extensible.
• Schema validation with Zod: Ensures that incoming requests conform to expected shapes, reducing runtime errors and improving reliability.
• Claude‑ready tooling: Designed from the ground up for Model Context clients, making it plug‑and‑play with Claude Desktop or any MCP‑compatible assistant.

Typical use cases span a wide range of educational scenarios:

• Automated assignment management: Teachers can create or update assignments on the fly, target specific student groups, and attach rubrics—all through chat.
• Real‑time grading insights: AI assistants can pull submission data, calculate grades, and even generate feedback summaries for instructors.
• Roster synchronization: Administrators can query class rosters, add or remove students, and keep enrollment data up to date without leaving the conversational environment.
• Learning analytics: By exposing submission outcomes, educators can build dashboards that track student progress and identify at‑risk learners.

Integration into existing AI workflows is straightforward. Once the MCP server is running, developers add its endpoint to the assistant’s configuration (e.g., in Claude Desktop’s ). The assistant then automatically discovers the server’s tools, presents them as options in the UI, and can invoke them with natural language prompts. Because each tool is defined according to the MCP standard, the assistant can also compose multi‑step operations—such as creating an assignment and immediately attaching a rubric—in a single conversational turn.

What sets this server apart is its tight coupling with Microsoft’s education ecosystem combined with the flexibility of MCP. Developers gain a ready‑made, secure bridge to Graph API resources without sacrificing extensibility: adding new tools is as simple as dropping a file into the folder. For anyone building AI‑enhanced educational applications, this server offers a powerful, low‑friction path to harnessing the full potential of Microsoft’s classroom data.