# Memos

> Use this tool when you need to integrate AI assistants with a note-taking application for streamlined information management. It solves problems of note organization, retrieval, and automation, providing a simple interface for creating, retrieving, and organizing notes, tags, and resources. Ideal for personal productivity, research assistants, or AI systems requiring efficient textual information management.

Canonical page: https://skillsregistry.net/skills/ryojerryyu-memos  
JSON: https://api.skillsregistry.net/v1/skills/ryojerryyu-memos

## Description

This MCP server for Memos, developed by RyoJerryYu, integrates the Memos note-taking application with AI assistants. It leverages the Memos API to provide a streamlined interface for managing notes, tags, and resources. The server abstracts Memos' API complexities, offering operations for note creation, retrieval, and organization. By connecting AI systems with Memos' features, this implementation enables assistants to automate note-taking tasks, organize information, and maintain structured knowledge bases. It is particularly useful for personal productivity applications, research assistants, or any AI system that needs to manage and retrieve textual information efficiently.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ryojerryyu-memos)
- **Repository:** <https://github.com/ryojerryyu/mcp-server-memos-py>

## 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": "ryojerryyu-memos"
    }
  }
}
```

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