# LystBot

> Use this tool when you need to manage and share lists efficiently, such as groceries or to-dos, and collaborate with others in real-time. LystBot solves problems of disorganized lists and poor collaboration by providing a centralized platform with features like quantifiable items, favorites, and shareable codes. It takes in API key authentication and list data as inputs, and outputs synced lists across web, iOS, and Android platforms.

Canonical page: https://skillsregistry.net/skills/lystbot  
JSON: https://api.skillsregistry.net/v1/skills/lystbot

## Description

LystBot is a smart list management platform that positions AI agents as first-class citizens. It provides MCP tools for creating, sharing, and managing lists including groceries, to-dos, packing lists, and more, with real-time sync to a companion mobile app on iOS and Android. Lists can be shared with family members or collaborators via share codes, and items support quantities, units, check/uncheck status, and favorites. The CLI and MCP server authenticate via API key and operate through the LystBot cloud API.

## 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:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lystbot)
- **Repository:** <https://github.com/touraround/lystbot/tree/HEAD/cli>

## 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": "lystbot"
    }
  }
}
```

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