About Linewhiz
Linewhiz is an MCP server for managing LINE Official Accounts through natural-language requests in AI clients. It provides account and follower information, messaging, delivery statistics, and rich-menu listing.
Key features
- 01Retrieve account information
- 02Check follower count and quota
- 03Send broadcasts and direct messages
- 04View message delivery statistics
- 05List rich menus
Use cases
- 01Check LINE account status and monthly quota
- 02Send announcements to all followers
- 03Message selected LINE users
- 04Review delivery results and rich menus
MCP support
Exposes LINE Official Account management tools to MCP clients such as Claude, ChatGPT, and Cursor. It calls the LINE Messaging API to perform requests.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMELineWhiz
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.
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
Comments
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