Python Line Server
P

Python Line Server

A Python - based LINE MCP server that allows language models to read and analyze LINE conversation messages through a standardized interface. The project uses the FastAPI framework, supports text, sticker, and image message processing, and provides core functions such as message storage and API endpoints.
2.5 points
7.3K

What is the Python LINE MCP Server?

This is a bridge server that connects LINE chatbots with AI models. It uses the standardized Model Context Protocol (MCP) to allow AI models to securely access and analyze LINE chat records.

How to use this service?

You need to first configure a LINE developer account to obtain an API key, then install and run this server, and finally configure the connection in AI applications such as Claude Desktop to use it.

Use cases

Suitable for scenarios where an AI assistant needs to analyze LINE chat records, such as customer service conversation analysis, group chat summary generation, and personal chat record query.

Main features

Asynchronous processing
Use Python's asyncio to achieve efficient asynchronous processing and handle multiple requests simultaneously.
LINE integration
Fully support LINE Bot message types, including text, stickers, and images.
Standardized API
Follow the Model Context Protocol 1.2.0 standard and provide a unified resource access interface.
Data persistence
Automatically store messages in a JSON file for subsequent analysis.
Advantages
Standardized interface: Follows the MCP protocol and has good compatibility with other AI tools.
Fully support LINE message types: Including text, stickers, and images.
Simple configuration: Basic configuration can be completed through environment variables.
Lightweight and efficient: Built on FastAPI with fast response speed.
Limitations
Requires a LINE developer account to use.
Currently only supports Python 3.8 and above.
Message storage uses JSON files, which is not suitable for large-scale data scenarios.

How to use

Get LINE API credentials
Go to the LINE Developers Console to create a channel and obtain the Channel Secret and Access Token.
Install dependencies
Use pip to install the required Python packages.
Configure environment variables
Create a.env file and fill in your LINE API credentials.
Start the server
Run the server program.
Configure Claude Desktop
Add MCP server settings to the configuration file of Claude Desktop.

Usage examples

Customer service conversation analysis
Use AI to analyze common problems and customer emotions in LINE customer service conversations.
Group chat summary
Generate a daily summary for users who missed a large number of group messages.

Frequently Asked Questions

Do I need programming knowledge to use this server?
Is this server secure? Will it store my chat records?
Which LINE message types are supported?
How can I check if the server is running normally?

Related resources

LINE Developers documentation
LINE official developer documentation
GitHub repository
Project source code
Model Context Protocol
Official description of the MCP protocol
FastAPI documentation
Documentation for the used web framework

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "line": {
      "command": "python",
      "args": [
        "server.py"
      ],
      "env": {
        "LINE_CHANNEL_SECRET": "your_channel_secret",
        "LINE_ACCESS_TOKEN": "your_access_token",
        "SERVER_PORT": "8000",
        "MESSAGES_FILE": "data/messages.json"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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