# Notes

> Use this tool when you need to manage and record notes with AI models, providing a simple and powerful interface for creating, retrieving, and organizing notes. It solves problems related to persistent memory and context management, enabling use cases such as personal assistants and collaborative note-taking platforms. With inputs for note creation and retrieval, and outputs for note management, it offers a flexible web server and MCP server interface for seamless AI integration.

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

## Description

This MCP notes server, developed by an unnamed author, provides a simple yet powerful tool for recording and managing notes with AI models. Built using TypeScript and leveraging the Model Context Protocol SDK, it offers both an MCP server and a web server interface for flexible note-taking capabilities. The implementation uses DynamoDB for data storage and includes features for creating, retrieving, and managing notes. By abstracting the complexities of note management and AI integration, it enables seamless interaction between AI assistants and user-generated content. This server is particularly useful for applications requiring persistent memory and context management, facilitating use cases such as personal assistants, knowledge management systems, and collaborative AI-enhanced note-taking platforms.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/9ninety-notes)
- **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-notes"
    }
  }
}
```

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