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Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.

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.
     • 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.
     • 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.

requirements:

• Node.js v20 or later

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.

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. You can confirm this by following this instructions.

{
  "mcpServers": {
    "line-bot": {
      "command": "npx",
      "args": [
        "@line/line-bot-mcp-server"
      ],
      "env": {
        "CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
        "DESTINATION_USER_ID" : "FILL_HERE"
      }
    }
  }
}

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.

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 .

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. 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"
      }
    }
  }
}

This project respects semantic versioning

See http://semver.org/

Please check CONTRIBUTING before making a contribution.