# MCP Notes

> Use this tool when you need to record and manage notes with AI models, solving problems of disorganized information and lost ideas. It provides a simple note-taking interface for inputting and storing notes, with outputs of organized and easily retrievable information. Ideal for use cases where note organization and AI model integration are crucial, such as research, study, or content creation.

Canonical page: https://skillsregistry.net/skills/9ninety-mcpnotes  
JSON: https://api.skillsregistry.net/v1/skills/9ninety-mcpnotes

## Description

A simple note-taking MCP server for recording and managing notes with AI models.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ec63qdbh55)
- **Repository:** <https://github.com/9Ninety/MCPNotes>

## 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": "9ninety-mcpnotes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/9ninety-mcpnotes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/9ninety-mcpnotes/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