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line-bot-mcp-server
MCP server that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.
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LINE Bot MCP Server
Model Context Protocol (MCP) 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
-
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.
-
-
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.
-
-
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.
To connect to the Messaging API, you need to have a channel access token. You can confirm this by following this instructions.
Additionally, you will need the user ID of the recipient user for messages. You can confirm this by following this instructions.
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
{
"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 .
{
"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"
}
}
}
}
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Reviews

user_6EKMvkNL
As a dedicated user of the Line-Bot-MCP-Server, I must say it has been a game-changer for our workflow automation. The seamless integration and powerful features provided by this server make it an essential tool for anyone looking to enhance their LINE bot capabilities. Highly recommended for its efficiency and user-friendly setup!