# mcp-microsoft-onenote

> mcp-microsoft-onenote — pipeworx-io-mcp-microsoft-onenote. Use this tool when you need to access and manage Microsoft OneNote data through natural language queries, enabling AI agents to retrieve and interact with notes, sections, and notebooks. It solves problems related to information retrieval, organization, and collaboration, providing a seamless interface for querying and manipulating OneNote data. This tool is ideal for use cases where integrating OneNote data with AI workflows is necessary, accepting natural language inputs and returning relevant data outputs.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-microsoft-onenote  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-microsoft-onenote

## Description

Enables AI agents to query and interact with Microsoft OneNote data via natural language, as part of the Pipeworx MCP gateway.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z79acsros6)
- **Repository:** <https://github.com/pipeworx-io/mcp-microsoft-onenote>

## 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": "pipeworx-io-mcp-microsoft-onenote"
    }
  }
}
```

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