# OneNote MCP Server

> Use this tool when you need to integrate AI capabilities with Microsoft OneNote data, enabling secure and comprehensive interaction with notebooks, sections, and pages. It solves problems related to data access, editing, and search, allowing AI models to read, write, and edit OneNote content directly. Ideal for use cases requiring seamless AI-OneNote integration, such as automated note-taking, data organization, and knowledge management.

Canonical page: https://skillsregistry.net/skills/eshlon-onenotemcp  
JSON: https://api.skillsregistry.net/v1/skills/eshlon-onenotemcp

## Description

A Model Context Protocol server that enables AI language models like Claude to securely interact with Microsoft OneNote data, allowing for reading, writing, searching, and comprehensive editing of notebooks, sections, and pages directly through an AI interface.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qyyxasa4la)
- **Repository:** <https://github.com/eshlon/onenotemcp>

## 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": "eshlon-onenotemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eshlon-onenotemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eshlon-onenotemcp/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