onenote MCP Server

What does “onenote” MCP Server do?

The onenote MCP (Model Context Protocol) Server is designed to bridge AI assistants with Microsoft OneNote, enabling enhanced development workflows that leverage OneNote’s data and capabilities. By integrating the onenote MCP Server, AI clients can interact with OneNote notebooks—such as querying notes, managing notebook content, or automating organizational tasks—through standardized protocols. This server empowers developers and AI systems to perform actions like retrieving notes, updating sections, or searching content, making it a valuable tool for automating knowledge management and facilitating smart note-taking experiences within broader AI workflows.

List of Prompts

No prompt templates were found in the repository.

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List of Resources

No resources were found or documented in the repository.

List of Tools

No explicit tool definitions (e.g., query_database, read_write_file, call_api) were found in server.py or the available files in the onenote MCP Server directory.

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Use Cases of this MCP Server

• Automated Note Retrieval: Allow developers or AI agents to quickly fetch and summarize relevant notes from OneNote, streamlining research or meeting preparation.
• Content Organization: Enable AI workflows to automatically organize notes, move pages, or update sections for improved knowledge management.
• Task Automation: Integrate with productivity tools to automate the creation, tagging, or archiving of notes based on developer or team activities.
• Smart Search: Provide advanced search capabilities within OneNote notebooks, allowing AI assistants to surface specific information or insights quickly.
• Collaboration Enhancement: Facilitate collaborative workflows where multiple users or agents can interact with shared notebooks, keeping information synchronized.

How to set it up

Windsurf

1. Prerequisites: Ensure Node.js is installed.
2. Configuration: Open Windsurf’s configuration file (e.g., windsurf.config.json).
3. Add the onenote MCP Server:

   {
     "mcpServers": {
       "onenote": {
         "command": "npx",
         "args": ["@onenote/mcp-server@latest"]
       }
     }
   }
   

4. Save and Restart: Save changes and restart Windsurf.
5. Verify Setup: Check the server logs or UI to confirm the onenote MCP Server is running.

Securing API Keys

Store your sensitive credentials in environment variables. Example:

{
  "env": {
    "ONENOTE_API_KEY": "your-onenote-key"
  },
  "inputs": {
    "apiKey": "${ONENOTE_API_KEY}"
  }
}

Claude

1. Prerequisites: Install Node.js if required.
2. Locate Config File (e.g., claude.config.json).
3. Add the onenote MCP Server:

   {
     "mcpServers": {
       "onenote": {
         "command": "npx",
         "args": ["@onenote/mcp-server@latest"]
       }
     }
   }
   

4. Save and Restart Claude.
5. Verify: Ensure the server is listed in Claude’s MCP connections.

Securing API Keys

{
  "env": {
    "ONENOTE_API_KEY": "your-onenote-key"
  },
  "inputs": {
    "apiKey": "${ONENOTE_API_KEY}"
  }
}

Cursor

1. Prerequisites: Node.js installed.
2. Edit Cursor’s config (e.g., cursor.config.json).
3. Insert MCP Server Details:

   {
     "mcpServers": {
       "onenote": {
         "command": "npx",
         "args": ["@onenote/mcp-server@latest"]
       }
     }
   }
   

4. Save and Restart Cursor.
5. Verify: Confirm onenote MCP Server is active.

Securing API Keys

{
  "env": {
    "ONENOTE_API_KEY": "your-onenote-key"
  },
  "inputs": {
    "apiKey": "${ONENOTE_API_KEY}"
  }
}

Cline

1. Prerequisite: Node.js must be set up.
2. Find/Edit Config File (e.g., cline.config.json).
3. Add MCP Server:

   {
     "mcpServers": {
       "onenote": {
         "command": "npx",
         "args": ["@onenote/mcp-server@latest"]
       }
     }
   }
   

4. Save and Restart Cline.
5. Check: Validate that the onenote MCP Server is running.

Securing API Keys

{
  "env": {
    "ONENOTE_API_KEY": "your-onenote-key"
  },
  "inputs": {
    "apiKey": "${ONENOTE_API_KEY}"
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{ “onenote”: { “transport”: “streamable_http”, “url”: “https://yourmcpserver.example/pathtothemcp/url" } }

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “onenote” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the above, the onenote MCP Server provides a basic overview and setup instructions, but lacks documentation or implementation of prompts, resources, and tools. This limits its immediate utility for developers seeking rich MCP integrations.

MCP Score

Rating: 2/10

This MCP server scores low due to the lack of tools, prompt templates, resources, and explicit licensing. The only available information is the overview and generic setup instructions. For production or development use, significant enhancements and documentation would be required.