LineWhiz

Premium MCP server that lets AI agents manage LINE Official Accounts.

Users type natural language in Claude / ChatGPT / Cursor → LineWhiz calls the LINE Messaging API.

Python 3.11+ MCP License: MIT

Features

Tool	Tier	Description
`get_account_info`	Free	Get LINE OA info: name, plan, picture
`get_friend_count`	Free	Get follower count on a specific date
`get_message_quota`	Free	Get remaining message quota this month
`send_broadcast`	Pro	Send message to ALL friends
`send_push_message`	Pro	Send DM to a specific user
`send_multicast`	Pro	Send message to multiple users (max 500)
`get_message_delivery_stats`	Pro	Get delivery stats for a date
`get_user_profile`	Pro	Get user's display name, picture, etc.
`list_rich_menus`	Pro	List all rich menus for this LINE OA

Quick Start

Prerequisites

Python 3.11+
uv package manager
LINE Messaging API channel (create one here)

Setup

# Clone and install
cd linewhiz && uv sync

# Configure environment
cp .env.example .env
# Edit .env → fill in LINE_CHANNEL_ACCESS_TOKEN and LINE_CHANNEL_SECRET

# Run the server
uv run src/server.py

# Test with MCP Inspector
mcp dev src/server.py

# Run tests
uv run pytest

MCP Client Configuration

Add to your MCP client config (e.g., Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    "linewhiz": {
      "command": "uv",
      "args": ["run", "src/server.py"],
      "cwd": "/path/to/linewhiz",
      "env": {
        "LINE_CHANNEL_ACCESS_TOKEN": "your_token_here",
        "LINE_CHANNEL_SECRET": "your_secret_here",
        "LINEWHIZ_TIER": "pro"
      }
    }
  }
}

Project Structure

linewhiz/
├── CLAUDE.md              # AI coding spec (single source of truth)
├── pyproject.toml
├── Dockerfile
├── docker-compose.yml
├── .env.example
├── src/
│   ├── server.py          # MCP entry point + tool registration
│   ├── config.py          # Env config via pydantic Settings
│   ├── auth/
│   │   ├── api_keys.py    # Key validation (SHA-256)
│   │   └── tiers.py       # Free/Pro/Business gating + rate limits
│   ├── tools/
│   │   ├── account.py     # get_account_info, get_friend_count, get_message_quota
│   │   ├── messaging.py   # send_broadcast, send_push, send_multicast
│   │   ├── richmenu.py    # list/create/set/link rich menus
│   │   ├── insights.py    # get_message_stats, get_user_profile
│   │   ├── automation.py  # [future] auto-reply
│   │   └── reporting.py   # [future] weekly report
│   ├── services/
│   │   ├── line_api.py    # Async LINE API wrapper
│   │   └── flex_builder.py
│   ├── models/
│   │   ├── user.py        # API key + tier models
│   │   └── usage.py       # Usage log model
│   └── db/
│       └── database.py    # SQLite async init + migrations
├── tests/
│   ├── conftest.py
│   ├── test_account.py
│   ├── test_messaging.py
│   ├── test_richmenu.py
│   └── test_auth.py
└── docs/

Tier System

Tier	Price	Daily Calls	Tools
Free	$0/mo	100	Account info, friend count, quota
Pro	$15/mo	5,000	+ Messaging, rich menus, insights
Business	$45/mo	Unlimited	All tools

Docker

# Build and run
docker compose up --build

# Or build manually
docker build -t linewhiz .
docker run --env-file .env linewhiz

Development

# Install with dev dependencies
uv sync --all-extras

# Lint
uv run ruff check src/ tests/

# Type check
uv run mypy src/

# Test
uv run pytest -v

License

MIT

LineWhiz

LineWhiz

Features

Quick Start

Prerequisites

Setup

MCP Client Configuration

Project Structure

Tier System

Docker

Development

License

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