# app.memol/memol

> Use this tool when you need to efficiently manage and search through team notes with AI-powered functionality. It allows you to create, edit, and read notes, solving problems of information overload and disorganization in collaborative work environments. With capabilities for search, reading, creation, and editing, it provides a streamlined interface for team note-taking and knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/app-memol-memol  
JSON: https://api.skillsregistry.net/v1/skills/app-memol-memol

## Description

Search, read, create and edit your Memol notes from Claude. Team note-taking with AI search.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.memol%2Fmemol)

## Use it

MCP endpoint published by the skill: `https://memol.app/api/mcp`

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": "app-memol-memol"
    }
  }
}
```

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