Python LINE

Python LINE MCP Server

A Model Context Protocol server implementation in Python that provides access to LINE Bot messages. This server enables Language Models to read and analyze LINE conversations through a standardized interface.

Features

Core Functionality

• Asynchronous operation using Python's asyncio
• Environment-based configuration using python-dotenv
• Comprehensive logging system
• LINE Bot webhook event handling
• Message storage in JSON format
• FastAPI integration for API endpoints
• Pydantic models for data validation
• Support for text, sticker, and image messages

Prerequisites

• Python 3.8+
• Required Python packages:
  • fastapi
  • pydantic
  • python-dotenv
  • mcp-server
  • line-bot-sdk
  • uvicorn

Installation

git clone https://github.com/amornpan/py-mcp-line.git
cd py-mcp-line
pip install -r requirements.txt

Project Structure

PY-MCP-LINE/
├── src/
│   └── line/
│       ├── __init__.py
│       └── server.py
├── data/
│   └── messages.json
├── tests/
│   ├── __init__.py
│   └── test_line.py
├── .env
├── .env.example
├── .gitignore
├── README.md
├── Dockerfile
└── requirements.txt

Directory Structure Explanation

• src/line/ - Main source code directory
  • __init__.py - Package initialization
  • server.py - Main server implementation
• data/ - Data storage directory
  • messages.json - Stored LINE messages
• tests/ - Test files directory
  • __init__.py - Test package initialization
  • test_line.py - LINE functionality tests
• .env - Environment configuration file (not in git)
• .env.example - Example environment configuration
• .gitignore - Git ignore rules
• README.md - Project documentation
• Dockerfile - Docker configuration
• requirements.txt - Project dependencies

Configuration

Create a .env file in the project root:

LINE_CHANNEL_SECRET=your_channel_secret
LINE_ACCESS_TOKEN=your_access_token
SERVER_PORT=8000
MESSAGES_FILE=data/messages.json

API Implementation Details

Resource Listing

@app.list_resources()
async def list_resources() -> list[Resource]

• Lists available message types from the LINE Bot
• Returns resources with URIs in the format line://<message_type>/data
• Includes resource descriptions and MIME types

Resource Reading

@app.read_resource()
async def read_resource(uri: AnyUrl) -> str

• Reads messages of the specified type
• Accepts URIs in the format line://<message_type>/data
• Returns messages in JSON format
• Supports filtering by date, user, or content

Usage with Claude Desktop

Add to your Claude Desktop configuration:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "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"
      }
    }
  }
}

Error Handling

The server implements comprehensive error handling for:

• Webhook validation failures
• Message storage errors
• Resource access errors
• URI validation
• LINE API response errors

All errors are logged and returned with appropriate error messages.

Security Features

• Environment variable based configuration
• LINE message signature validation
• Proper error handling
• Input validation through Pydantic

Contact Information

Amornpan Phornchaicharoen

Feel free to reach out to me if you have any questions about this project or would like to collaborate!

---

Made with ❤️ by Amornpan Phornchaicharoen

Author

Amornpan Phornchaicharoen

Requirements

Create a requirements.txt file with:

fastapi>=0.104.1
pydantic>=2.10.6
uvicorn>=0.34.0 
python-dotenv>=1.0.1
line-bot-sdk>=3.5.0
anyio>=4.5.0
mcp==1.2.0

These versions have been tested and verified to work together. The key components are:

• fastapi and uvicorn for the API server
• pydantic for data validation
• line-bot-sdk for LINE Bot integration
• mcp for Model Context Protocol implementation
• python-dotenv for environment configuration
• anyio for asynchronous I/O support

Acknowledgments

• LINE Developers for the LINE Messaging API
• Model Context Protocol community
• Python FastAPI community
• Contributors to the python-dotenv project