# linewhiz

> Use this tool when you need to manage LINE Official Accounts efficiently, as it solves problems related to messaging, analytics, and rich menu management for 95M+ users across Japan, Thailand, and Taiwan. It takes natural language inputs via AI agents like Claude, ChatGPT, or Cursor, and provides outputs such as broadcast messages, delivery stats, and user profiles. Use linewhiz to streamline your LINE account management, from sending push messages to checking analytics, all through a convenient interface.

Canonical page: https://skillsregistry.net/skills/kinzen-linewhiz  
JSON: https://api.skillsregistry.net/v1/skills/kinzen-linewhiz

## Description

AI-powered MCP server for managing LINE Official Accounts. Send broadcasts, push messages, check analytics, manage rich menus — all through natural language via Claude, ChatGPT, or Cursor.

**10 tools included:**
- Account info, friend count, message quota
- Broadcast, push message, multicast
- Delivery stats, user profiles, follower list
- Rich menu management

Supports 95M+ LINE users across Japan, Thailand, and Taiwan.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kinzen/linewhiz)

## 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": "kinzen-linewhiz"
    }
  }
}
```

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