# Notes

> Use this tool when you need to manage notes in a simple and standardized way, solving problems like quick information capture, to-do list management, and integrating note-taking into larger workflows. It provides a straightforward interface for reading and writing notes, with inputs for note content and outputs for stored notes. Ideal for AI assistants, personal productivity tools, or applications requiring basic note-taking functionality.

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

## Description

This notes MCP implementation, developed by truaxki, provides a simple interface for reading and writing notes. Built with Python 3.10+, it leverages the MCP library for standardized communication. The project structure includes a .gitignore for version control and a pyproject.toml for dependency management, indicating a focus on maintainability. While the specific storage mechanism isn't evident, the implementation offers a straightforward approach to note management, making it suitable for AI assistants, personal productivity tools, or applications needing basic note-taking functionality. It's particularly useful for tasks like quick information capture, to-do list management, or integrating note-taking capabilities into larger workflows.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/truaxki-notes)
- **Repository:** <https://github.com/truaxki/mcp-notes>

## 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": "truaxki-notes"
    }
  }
}
```

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

---
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