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OneNote MCP Server: Automate & Collaborate Smarter - MCP Implementation

OneNote MCP Server: Automate & Collaborate Smarter

Automate OneNote web workflows with MCP Server – seamless browser interactions, enhanced collaboration, and lightning-fast productivity. Work smarter, not harder!

Browser Automation
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Ranked in the top 7% of all AI tools in its category

About OneNote MCP Server

What is the OneNote MCP Server and Why Does It Matter?

This server acts as a bridge between AI assistants and collaborative workspaces, enabling seamless automation of repetitive tasks while maintaining context. Unlike traditional tools, it uses Model Context Protocol (MCP) to intelligently interpret workflows and adapt to user intent, making it ideal for teams needing to blend human oversight with machine efficiency.

How Do I Get Started with Automation Workflows?

Begin by installing the core framework through your package manager of choice. Configure your first workflow using YAML templates in the provided studio interface, then test execution in sandbox mode. Most users start by automating routine reporting tasks before scaling to complex multi-step processes.

OneNote MCP Server Features

Key Differentiators from Competing Solutions

  • Contextual memory retention across workflow executions
  • Dynamic API integration without manual endpoint mapping
  • Human-in-the-loop approval gates for critical decisions
  • Real-time error visualization during workflow runs

Common Use Cases Across Industries

Marketing teams use it to auto-generate campaign reports with sentiment analysis, while developers deploy it to manage CI/CD pipelines with intelligent failure analysis. Creative professionals leverage adaptive content curation features, and financial teams benefit from audit-trail aware transaction processing workflows.

OneNote MCP Server FAQ

Frequently Asked Implementation Questions

Q: Does it require custom coding?

A: No, the visual workflow designer handles 90% of use cases. Advanced users can extend functionality using Python hooks.

Q: How is data secured?

A: All workflow data is encrypted at rest and in transit, with role-based access controls and audit logs for compliance.

Content

OneNote MCP Server

An MCP (Model Context Protocol) server for browsing and interacting with OneNote web app using browser automation. This server enables AI assistants and other MCP-compatible clients to programmatically browse and interact with OneNote notebooks that are shared via web links.

Features

  • Navigate OneNote's hierarchical structure (notebooks, sections, pages)
  • Read page content from OneNote
  • Add new content to existing pages
  • Create new pages
  • Search within OneNote
  • Take screenshots of the current view
  • Maintain state across the session

Requirements

  • Python 3.10 or higher
  • browser-use 0.1.40 or higher
  • MCP SDK 1.2.0 or higher
  • Playwright
  • Internet connection
  • A shared OneNote notebook URL (must be accessible without authentication)

Installation

# Clone the repository or create the project structure
# Then navigate to the project directory
cd onenote-mcp

# Install the package and dependencies
pip install -e .

# Install Playwright browsers
playwright install

Usage

Standalone Mode

You can run the server directly with:

python -m onenote_mcp

Integration with Claude Desktop or other MCP hosts

  1. Configure your Claude Desktop to use the OneNote MCP server by editing the configuration file:
{
  "mcpServers": {
    "onenote": {
      "command": "python",
      "args": ["-m", "onenote_mcp"]
    }
  }
}
  1. Launch Claude Desktop, which will automatically start the OneNote MCP server
  2. Use the available tools in your chat with Claude:
Can you help me navigate my OneNote notebook at https://example.com/my-shared-notebook? 
First, please launch OneNote with this URL and tell me what notebooks are available.

Available Tools

  • launch_onenote(shared_url): Launch the OneNote web app with a shared notebook URL
  • get_all_notebooks(): List all available notebooks
  • get_all_sections(): List all sections in the current notebook
  • get_all_pages(): List all pages in the current section
  • navigate_to_notebook_by_name(notebook_name): Go to a specific notebook
  • navigate_to_section_by_name(section_name): Go to a specific section
  • navigate_to_page_by_name(page_name): Go to a specific page
  • get_current_page_content(): Get the content of the current page
  • add_content_to_page(content): Add content to the current page
  • create_new_page_with_name(page_name): Create a new page
  • search_in_onenote(search_term): Search OneNote for specific terms
  • take_screenshot(): Take a screenshot of the current view
  • get_onenote_state(): Get the current state information
  • close_onenote(): Close the OneNote session and clean up resources

How It Works

This MCP server uses browser-use, a browser automation framework, to interact with the OneNote web interface. It creates a bridge between MCP-compatible AI assistants and the OneNote web application, enabling programmatic control of OneNote functions.

Limitations

  • Only works with OneNote notebooks that are shared with a public link (no authentication)
  • The server may need adjustments if the OneNote web interface changes
  • Browser automation can be somewhat fragile and dependent on the UI structure
  • Performance may vary based on network conditions and OneNote's responsiveness

Troubleshooting

  • If the server fails to connect to OneNote, ensure the shared link is accessible without login
  • If selectors fail, the OneNote UI may have changed - check the server code
  • For other issues, check the server logs for error details

License

MIT

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