Enable OneNote AI integration with MCP server for notebook, section, and page management through standardized protocols
The OneNote MCP Server is an essential component of the Model Context Protocol (MCP) infrastructure, designed to enable AI applications such as Claude Desktop, Continue, Cursor, and others to interact with Microsoft OneNote through a standardized interface. By leveraging MCP, this server bridges the gap between advanced AI tools and the rich content management capabilities of OneNote, enabling seamless integration and enhancing productivity in various use cases.
OneNote MCP Server offers comprehensive notebook, section, page, and search management functionalities, providing a robust platform for AI applications to interact with Microsoft OneNote. Key features include:
These features enable a wide range of AI applications to interact with OneNote in a highly flexible manner, making it easier to manage and manipulate notes, sections, and pages within OneNote's ecosystem.
The OneNote MCP Server implements the Model Context Protocol (MCP) to provide standardized interactions between AI applications and Microsoft OneNote. The protocol ensures that AI tools can seamlessly integrate with OneNote by defining clear and consistent message formats, request/response structures, and error handling mechanisms.
graph TB
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
This table highlights the compatibility status of different MCP clients with OneNote, indicating which features are supported. This compatibility ensures that developers and users can leverage AI applications effectively within the context of Microsoft OneNote.
To get started using the OneNote MCP Server, you need to follow these steps:
Install Dependencies:
npm install @modelcontextprotocol/server-onenote
Configure Environment Variables: Set up the necessary environment variables for authentication and access.
AZURE_TENANT_ID
: Your Azure tenant IDAZURE_CLIENT_ID
: Your Azure application (client) IDAZURE_CLIENT_SECRET
: Your Azure client secretAdd Configuration to MCP Client: Integrate the OneNote MCP Server into your AI application's configuration.
{
"mcpServers": {
"onenote": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-onenote"],
"env": {
"AZURE_TENANT_ID": "<YOUR_TENANT_ID>",
"AZURE_CLIENT_ID": "<YOUR_CLIENT_ID>",
"AZURE_CLIENT_SECRET": "<YOUR_CLIENT_SECRET>"
}
}
}
}
AI applications like Claude Desktop can utilize the OneNote MCP Server to assist with note-taking during remote meetings. By integrating this server, users can automatically create, update, and manage notes based on real-time transcription data or predefined prompts.
createPage
and updatePage
methods to insert notes based on the captured data.In a collaborative academic setting, Continue can leverage the OneNote MCP Server to manage research paper collections across multiple authors. Each author can create and update sections, while the MCP server ensures consistency and accessibility of the research content.
The OneNote MCP Server supports multiple AI clients, including:
This integration ensures that users can leverage a wide range of AI tools to enhance their working experience with OneNote.
The performance and compatibility matrix for the OneNote MCP Server are designed to ensure smooth operation across different environments. The server has been tested extensively across various scenarios, including:
Fine-tune the behavior of the OneNote MCP Server by modifying its configuration. This includes setting up environment variables for authentication and configuring the client's command-line arguments.
Ensure secure communication by using HTTPS, implementing rate limiting to prevent abuse, and regularly updating dependencies to mitigate security vulnerabilities.
npx
command to test interactions using the provided npm package.For developers interested in contributing, refer to the CONTRIBUTING.md file for guidelines on coding standards, testing procedures, and collaboration tools. Contributions are welcome to enhance the functionality and improve user experience of this MCP server.
Explore more about the Model Context Protocol and its ecosystem through these resources:
By leveraging the OneNote MCP Server, AI application developers can build powerful integrations that enhance productivity, collaboration, and data management tasks.
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