Content
[日本語版 READMEはこちら](README.ja.md)
# LINE Bot MCP Server
[](https://www.npmjs.com/package/@line/line-bot-mcp-server)
[Model Context Protocol (MCP)](https://github.com/modelcontextprotocol) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.
> [!NOTE]
> This repository is provided as a preview version. While we offer it for experimental purposes, please be aware that it may not include complete functionality or comprehensive support.
## Tools
1. **push_text_message**
- Push a simple text message to a user via LINE.
- **Inputs:**
- `user_id` (string?): The user ID to receive a message. Defaults to DESTINATION_USER_ID. Either `user_id` or `DESTINATION_USER_ID` must be set.
- `message.text` (string): The plain text content to send to the user.
2. **push_flex_message**
- Push a highly customizable flex message to a user via LINE.
- **Inputs:**
- `user_id` (string?): The user ID to receive a message. Defaults to DESTINATION_USER_ID. Either `user_id` or `DESTINATION_USER_ID` must be set.
- `message.altText` (string): Alternative text shown when flex message cannot be displayed.
- `message.content` (any): The content of the flex message. This is a JSON object that defines the layout and components of the message.
- `message.contents.type` (enum): Type of the container. 'bubble' for single container, 'carousel' for multiple swipeable bubbles.
3. **broadcast_text_message**
- Broadcast a simple text message via LINE to all users who have followed your LINE Official Account.
- **Inputs:**
- `message.text` (string): The plain text content to send to the users.
4. **broadcast_flex_message**
- Broadcast a highly customizable flex message via LINE to all users who have added your LINE Official Account.
- **Inputs:**
- `message.altText` (string): Alternative text shown when flex message cannot be displayed.
- `message.content` (any): The content of the flex message. This is a JSON object that defines the layout and components of the message.
- `message.contents.type` (enum): Type of the container. 'bubble' for single container, 'carousel' for multiple swipeable bubbles.
5. **get_profile**
- Get detailed profile information of a LINE user including display name, profile picture URL, status message and language.
- **Inputs:**
- `user_id` (string?): The ID of the user whose profile you want to retrieve. Defaults to DESTINATION_USER_ID.
6. **get_message_quota**
- Get the message quota and consumption of the LINE Official Account. This shows the monthly message limit and current usage.
- **Inputs:**
- None
7. **get_rich_menu_list**
- Get the list of rich menus associated with your LINE Official Account.
- **Inputs:**
- None
8. **delete_rich_menu**
- Delete a rich menu from your LINE Official Account.
- **Inputs:**
- `richMenuId` (string): The ID of the rich menu to delete.
9. **set_rich_menu_default**
- Set a rich menu as the default rich menu.
- **Inputs:**
- `richMenuId` (string): The ID of the rich menu to set as default.
10. **cancel_rich_menu_default**
- Cancel the default rich menu.
- **Inputs:**
- None
## Installation (Using npx)
requirements:
- Node.js v20 or later
### Step 1: Create LINE Official Account
This MCP server utilizes a LINE Official Account. If you do not have one, please create it by following [this instructions](https://developers.line.biz/en/docs/messaging-api/getting-started/#create-oa).
If you have a LINE Official Account, enable the Messaging API for your LINE Official Account by following [this instructions](https://developers.line.biz/en/docs/messaging-api/getting-started/#using-oa-manager).
### Step 2: Configure AI Agent
Please add the following configuration for an AI Agent like Claude Desktop or Cline.
Set the environment variables or arguments as follows:
- `CHANNEL_ACCESS_TOKEN`: (required) Channel Access Token. You can confirm this by following [this instructions](https://developers.line.biz/en/docs/basics/channel-access-token/#long-lived-channel-access-token).
- `DESTINATION_USER_ID`: (optional) The default user ID of the recipient. If the Tool's input does not include `user_id`, `DESTINATION_USER_ID` is required. You can confirm this by following [this instructions](https://developers.line.biz/en/docs/messaging-api/getting-user-ids/#get-own-user-id).
```json
{
"mcpServers": {
"line-bot": {
"command": "npx",
"args": [
"@line/line-bot-mcp-server"
],
"env": {
"CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
"DESTINATION_USER_ID" : "FILL_HERE"
}
}
}
}
```
## Installation (Using Docker)
### Step 1: Create LINE Official Account
This MCP server utilizes a LINE Official Account. If you do not have one, please create it by following [this instructions](https://developers.line.biz/en/docs/messaging-api/getting-started/#create-oa).
If you have a LINE Official Account, enable the Messaging API for your LINE Official Account by following [this instructions](https://developers.line.biz/en/docs/messaging-api/getting-started/#using-oa-manager).
### Step 2: Build line-bot-mcp-server image
Clone this repository:
```
git clone git@github.com:line/line-bot-mcp-server.git
```
Build the Docker image:
```
docker build -t line/line-bot-mcp-server .
```
### Step 3: Configure AI Agent
Please add the following configuration for an AI Agent like Claude Desktop or Cline.
Set the environment variables or arguments as follows:
- `mcpServers.args`: (required) The path to `line-bot-mcp-server`.
- `CHANNEL_ACCESS_TOKEN`: (required) Channel Access Token. You can confirm this by following [this instructions](https://developers.line.biz/en/docs/basics/channel-access-token/#long-lived-channel-access-token).
- `DESTINATION_USER_ID`: (optional) The default user ID of the recipient. If the Tool's input does not include `user_id`, `DESTINATION_USER_ID` is required.
You can confirm this by following [this instructions](https://developers.line.biz/en/docs/messaging-api/getting-user-ids/#get-own-user-id).
```json
{
"mcpServers": {
"line-bot": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"CHANNEL_ACCESS_TOKEN",
"-e",
"DESTINATION_USER_ID",
"line/line-bot-mcp-server"
],
"env": {
"CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
"DESTINATION_USER_ID" : "FILL_HERE"
}
}
}
}
```
## Local Development with Inspector
You can use the MCP Inspector to test and debug the server locally.
### Prerequisites
1. Clone the repository:
```bash
git clone git@github.com:line/line-bot-mcp-server.git
cd line-bot-mcp-server
```
2. Install dependencies:
```bash
npm install
```
3. Build the project:
```bash
npm run build
```
### Run the Inspector
After building the project, you can start the MCP Inspector:
```bash
npx @modelcontextprotocol/inspector node dist/index.js
```
This will start the MCP Inspector interface where you can interact with the LINE Bot MCP Server tools and test their functionality.
## Versioning
This project respects semantic versioning
See http://semver.org/
## Contributing
Please check [CONTRIBUTING](./CONTRIBUTING.md) before making a contribution.
