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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

1. push_text_message

2. push_flex_message

3. broadcast_text_message

4. broadcast_flex_message

5. get_profile

6. get_message_quota

7. get_rich_menu_list

8. delete_rich_menu

9. set_rich_menu_default

10. cancel_rich_menu_default

11. create_rich_menu

12. get_follower_ids

Installation (Using npx)

requirements:

• Node.js v22 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.

If you have a LINE Official Account, enable the Messaging API for your LINE Official Account by following this instructions.

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.
• `DESTINATION_USER_ID`: (optional) The default user ID of the recipient. If the Tool's input does not include `userId`, `DESTINATION_USER_ID` is required. You can confirm this by following this instructions.

{
  "mcpServers": {
    "line-bot": {
      "command": "npx",
      "args": [
        "@line/line-bot-mcp-server"
      ],
      "env": {
        "NPM_CONFIG_IGNORE_SCRIPTS": "true",
        "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.

If you have a LINE Official Account, enable the Messaging API for your LINE Official Account by following this instructions.

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.
• `DESTINATION_USER_ID`: (optional) The default user ID of the recipient. If the Tool's input does not include `userId`, `DESTINATION_USER_ID` is required.

You can confirm this by following this instructions.

{
  "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:

git clone git@github.com:line/line-bot-mcp-server.git
cd line-bot-mcp-server

2. Install dependencies:

npm install

3. Build the project:

npm run build

Run the Inspector

After building the project, you can start the MCP Inspector:

npx @modelcontextprotocol/inspector node dist/index.js \
  -e CHANNEL_ACCESS_TOKEN="YOUR_CHANNEL_ACCESS_TOKEN" \
  -e DESTINATION_USER_ID="YOUR_DESTINATION_USER_ID"

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 before making a contribution.