# OneNote MCP for Windows

> OneNote MCP for Windows — eddyficial-onenote-mcp-windows. Use this tool when you need to automate and control Microsoft OneNote on Windows using natural language, without requiring API keys or embedded AI providers. It solves problems related to note organization, content creation, and searching, by providing a range of tools for hierarchy management, page creation, and export. With 27 tools at its disposal, it takes in natural language inputs and outputs controlled actions within OneNote.

Canonical page: https://skillsregistry.net/skills/eddyficial-onenote-mcp-windows  
JSON: https://api.skillsregistry.net/v1/skills/eddyficial-onenote-mcp-windows

## Description

Connects to Microsoft OneNote desktop via COM API, exposing 27 tools for hierarchy, page CRUD, search, rich content, export, health checks, and more. Enables natural-language control of OneNote without API keys or embedded AI providers.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tcp56h79tn)
- **Repository:** <https://github.com/eddyficial/onenote-mcp-windows>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "eddyficial-onenote-mcp-windows"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eddyficial-onenote-mcp-windows` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eddyficial-onenote-mcp-windows/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
