# OneNote-MCP-For-GeminiSpark

> OneNote-MCP-For-GeminiSpark — abhivishwa2-onenote-mcp-for-geminispark. Use this tool when you need to transform OneNote notebooks into a searchable knowledge base, enabling AI-powered queries to list, read, and search notes. It solves the problem of inaccessible note data by leveraging the Microsoft Graph API to connect OneNote with AI agents like Gemini Spark. This tool takes OneNote notebooks as input and outputs a queryable knowledge base, ideal for use cases requiring natural language search and retrieval of note content.

Canonical page: https://skillsregistry.net/skills/abhivishwa2-onenote-mcp-for-geminispark  
JSON: https://api.skillsregistry.net/v1/skills/abhivishwa2-onenote-mcp-for-geminispark

## Description

A robust MCP server that transforms OneNote notebooks into an AI-accessible knowledge base for Gemini Spark, enabling natural language queries to list, read, and search notes via Microsoft Graph API.

## Trust

- **Trust score (0–1):** 0.67
- **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/g27k37a1xn)
- **Repository:** <https://github.com/abhivishwa2/OneNote-MCP-For-GeminiSpark>

## 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": "abhivishwa2-onenote-mcp-for-geminispark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhivishwa2-onenote-mcp-for-geminispark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhivishwa2-onenote-mcp-for-geminispark/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