line-bot-mcp-server-sse

acquo/line-bot-mcp-server-sse

3.2

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The LINE Bot MCP Server with SSE Support is a forked implementation of the Model Context Protocol server that integrates with the LINE Messaging API, enabling AI Agents to connect with LINE Official Accounts.

Tools
  1. push_text_message

    Push a simple text message to a user via LINE.

  2. push_flex_message

    Push a highly customizable flex message to a user via LINE.

  3. broadcast_text_message

    Broadcast a simple text message via LINE to all users who have followed your LINE Official Account.

  4. broadcast_flex_message

    Broadcast a highly customizable flex message via LINE to all users who have added your LINE Official Account.

  5. get_profile

    Get detailed profile information of a LINE user including display name, profile picture URL, status message, and language.

LINE Bot MCP Server (with SSE Support)

npmjs Docker Hub

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 a fork of the official LINE Bot MCP Server with additional SSE (Server-Sent Events) transport support. The original repository only supports stdio transport.

🔄 Fork Information

[!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.

Transport Support

This MCP server supports multiple transport protocols:

  • stdio (default): Standard input/output for local integrations
  • SSE: Server-Sent Events over HTTP for web-based integrations

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.

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 user_id, DESTINATION_USER_ID is required. You can confirm this by following this instructions.
  • MCP_TRANSPORT: (optional) Transport protocol to use. Options: stdio (default), sse
  • MCP_PORT: (optional) Port for SSE transport. Default: 3000
Using stdio transport (default)
{
  "mcpServers": {
    "line-bot": {
      "command": "npx",
      "args": [
        "@line/line-bot-mcp-server"
      ],
      "env": {
        "CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
        "DESTINATION_USER_ID" : "FILL_HERE"
      }
    }
  }
}
Using SSE transport
{
  "mcpServers": {
    "line-bot": {
      "command": "npx",
      "args": [
        "@line/line-bot-mcp-server"
      ],
      "env": {
        "CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
        "DESTINATION_USER_ID" : "FILL_HERE",
        "MCP_TRANSPORT" : "sse",
        "MCP_PORT" : "3000"
      }
    }
  }
}

For SSE transport, the server will start an HTTP server with the following endpoints:

  • GET /sse - Establish SSE connection
  • POST /messages - Send messages to the server
  • GET /health - Health check endpoint

Installation (Using Docker)

Option A: Use Pre-built Docker Image (Recommended)

You can use the pre-built Docker image from Docker Hub without building locally:

# Pull the latest image
docker pull acquojp/line-bot-mcp-server-sse:latest

# Run directly
docker run --rm -p 3000:3000 \
  -e CHANNEL_ACCESS_TOKEN="your_token" \
  -e DESTINATION_USER_ID="your_user_id" \
  acquojp/line-bot-mcp-server-sse:latest

Option B: Build from Source

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 https://github.com/your-username/line-bot-mcp-server.git

Build the Docker image:

docker build -t line-bot-mcp-server-sse .

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 user_id, DESTINATION_USER_ID is required. You can confirm this by following this instructions.
  • MCP_TRANSPORT: (optional) Transport protocol to use. Options: stdio (default), sse
  • MCP_PORT: (optional) Port for SSE transport. Default: 3000
Using SSE transport (default) - Docker Hub Image
{
  "mcpServers": {
    "line-bot": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-p",
        "3000:3000",
        "-e",
        "CHANNEL_ACCESS_TOKEN",
        "-e",
        "DESTINATION_USER_ID",
        "acquojp/line-bot-mcp-server-sse:latest"
      ],
      "env": {
        "CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
        "DESTINATION_USER_ID" : "FILL_HERE"
      }
    }
  }
}
Using stdio transport - Docker Hub Image
{
  "mcpServers": {
    "line-bot": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CHANNEL_ACCESS_TOKEN",
        "-e",
        "DESTINATION_USER_ID",
        "-e",
        "MCP_TRANSPORT",
        "acquojp/line-bot-mcp-server-sse:latest"
      ],
      "env": {
        "CHANNEL_ACCESS_TOKEN" : "FILL_HERE",
        "DESTINATION_USER_ID" : "FILL_HERE",
        "MCP_TRANSPORT" : "stdio"
      }
    }
  }
}

Versioning

This project respects semantic versioning

See http://semver.org/

Fork Information & Differences

This repository is a fork of the official LINE Bot MCP Server with the following enhancements:

✨ Added Features

  • SSE (Server-Sent Events) Transport Support: Enables web-based integrations and HTTP connections
  • Multi-Transport Architecture: Supports both stdio (original) and SSE transports
  • Docker Hub Distribution: Pre-built Docker images available for easy deployment
  • Production-Ready Configuration: Optimized for both development and production environments

🔄 Transport Comparison

Featurestdio (Original)SSE (Added)
Use CaseLocal CLI tools, direct process communicationWeb applications, HTTP-based integrations
ConnectionStandard input/output streamsHTTP + Server-Sent Events
DeploymentProcess-basedServer-based (HTTP)
PortNot requiredRequires port (default: 3000)
ScalabilitySingle processMultiple concurrent connections

🐳 Docker Hub

Contributing

Please check before making a contribution.

Contributing to This Fork

If you'd like to contribute to the SSE transport features or other enhancements in this fork, please:

  1. Fork this repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

For contributions to the original LINE Bot MCP Server, please visit the official repository.