OneNote MCP Server

Overview

The OneNote MCP Server bridges the gap between modern AI assistants and Microsoft’s note‑taking platform. By exposing OneNote as a first‑class resource through the Model Context Protocol, developers can let Claude or other LLMs read, create, and search notes without leaving the conversational UI. This eliminates context switching for users who rely on OneNote to capture ideas, meeting minutes, or project documentation.

At its core, the server authenticates with Microsoft OneNote via a simple device‑code flow, removing the need for Azure configuration or manual token handling. Once authenticated, the server offers a rich set of tools: listing notebooks, sections, and pages; creating new pages with HTML content; retrieving full page bodies (including formatting); extracting plain text for downstream analysis; and summarizing or searching across all notes. These capabilities allow an assistant to, for example, pull up the latest project plan, generate a concise summary of a meeting transcript stored in OneNote, or create a new page that aggregates insights from multiple notes.

For developers integrating AI into productivity workflows, the server is a turnkey solution. It can be registered in popular MCP‑compatible clients such as Cursor or Claude Desktop with a single JSON configuration, after which the assistant can issue natural‑language commands like “Show me all notebooks” or “Create a new page titled Sprint Retrospective with the attached discussion.” The server’s response is delivered directly in the chat, keeping the user focused on their task rather than navigating a separate application.

Real‑world scenarios benefit from this tight integration. Teams can let an AI pull relevant OneNote pages into a collaborative meeting chat, automatically generate action items from notes, or surface historical decisions when planning new features. Knowledge workers who maintain extensive OneNote archives can query their notes for specific terms or summaries, turning a static repository into an interactive knowledge base. The ability to create pages programmatically also enables workflows where an assistant logs updates, meeting notes, or research findings without manual copy‑paste.

Unique to this implementation is its emphasis on simplicity and usability. The authentication flow requires no Azure portal setup, and the server’s tools are designed to return data in a format that is immediately consumable by LLMs—plain text for analysis and structured JSON for tooling. This focus on developer experience, combined with robust OneNote integration, makes the OneNote MCP Server a valuable addition to any AI‑driven productivity stack.