# onenote-mcp-python

> onenote-mcp-python — eddyficial-onenote-mcp-python. Use this tool when you need to interact with Microsoft OneNote desktop programmatically, enabling create, read, update, and delete operations, as well as search and export functionality, without requiring an API key. It solves problems of automation and integration with OneNote by providing a standalone server that connects via the Windows COM API. Ideal for use cases where API keys are not available or desired, and a PowerShell bridge is acceptable.

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

## Description

A standalone Model Context Protocol server for Microsoft OneNote desktop, connecting via the Windows COM API through a PowerShell bridge to enable page CRUD, search, export, and organization tools without an API key.

## 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/r2y1ss8lri)
- **Repository:** <https://github.com/eddyficial/onenote-mcp-python>

## 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-python"
    }
  }
}
```

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