Content
[日本語版 READMEはこちら](README.ja.md)
# 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 user via LINE.
- **Inputs:**
- `user_id` (string): The user ID to receive a message. Defaults to DESTINATION_USER_ID.
- `message.text` (string): The plain text content to send to the user.
2. **push_flex_message**
- Push a highly customizable flex message to user via LINE. Supports both bubble (single container) and carousel (multiple swipeable bubbles) layouts.
- **Inputs:**
- `user_id` (string): The user ID to receive a message. Defaults to DESTINATION_USER_ID.
- `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. **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.
## Installation
### Step 1: Install line-bot-mcp-server
requirements:
- Node.js v20 or later
Clone this repository:
```
git clone git@github.com/line/line-bot-mcp-server.git
```
Install the necessary dependencies and build line-bot-mcp-server when using Node.js. This step is not required when using Docker:
```
cd line-bot-mcp-server && npm install && npm run build
```
### Step 2: Get a channel access token
This MCP server utilizes a LINE Official Account. If you do not have one, please create it by following [this instructions](https://www.linebiz.com/jp-en/manual/OfficialAccountManager/new_account/).
To connect to the Messaging API, you need to have a 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).
Additionally, you will need the user ID of the recipient user for messages. You can confirm this by following [this instructions](https://developers.line.biz/en/docs/messaging-api/getting-user-ids/#get-own-user-id).
### Step 3: Configure AI Agent
Please add the following configuration for an AI Agent like Claude Desktop or Cline.
Insert the channel access token and user ID you obtained earlier into `CHANNEL_ACCESS_TOKEN` and `DESTINATION_USER_ID`, respectively.
Additionally, update the path to `line-bot-mcp-server` in `mcpServers.args`.
#### Option 1: Use Node
```json
{
"mcpServers": {
"line-bot": {
"command": "node",
"args": [
"PATH/TO/line-bot-mcp-server/dist/index.js"
],
"env": {
"CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
"DESTINATION_USER_ID" : "FILL_HERE"
}
}
}
}
```
#### Option 2: Use Docker
Build the Docker image first:
```
docker build -t line/line-bot-mcp-server .
```
```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"
}
}
}
}
```
