Tku Mcp
What is Tku Mcp
TKU-MCP is an integration that connects TronClass to Claude AI using the Model Context Protocol (MCP), enabling direct interaction between Claude and TronClass.
Use cases
Use cases for TKU-MCP include enhancing online learning experiences, providing AI-driven tutoring through Claude, and facilitating interactive educational content in TronClass.
How to use
To use TKU-MCP, install the required Python version and the uv package manager. Set up environment variables in a .env file with your student ID and SSO password, then configure Claude for Desktop to recognize the MCP server.
Key features
Key features of TKU-MCP include seamless integration with Claude AI, the ability to directly interact with TronClass, and easy setup through environment variables and configuration files.
Where to use
TKU-MCP can be used in educational environments where TronClass is utilized, particularly in settings that require AI assistance for learning and teaching.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Tku Mcp
TKU-MCP is an integration that connects TronClass to Claude AI using the Model Context Protocol (MCP), enabling direct interaction between Claude and TronClass.
Use cases
Use cases for TKU-MCP include enhancing online learning experiences, providing AI-driven tutoring through Claude, and facilitating interactive educational content in TronClass.
How to use
To use TKU-MCP, install the required Python version and the uv package manager. Set up environment variables in a .env file with your student ID and SSO password, then configure Claude for Desktop to recognize the MCP server.
Key features
Key features of TKU-MCP include seamless integration with Claude AI, the ability to directly interact with TronClass, and easy setup through environment variables and configuration files.
Where to use
TKU-MCP can be used in educational environments where TronClass is utilized, particularly in settings that require AI assistance for learning and teaching.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
TKU-MCP - TKU Model Context Protocol Integration
[!WARNING]
Reminder: This project is intended only to demonstrate the use of MCP. It is not meant for production use or full implementation.
TKU-MCP connects TronClass to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with TronClass
Installation
Prerequisites
- Python 3.10 or newer
- uv package manager:
Install uv as
brew install uv
Environment variables set up
add .env to the project folder
USERNAME="YOURSTUDENTID"
PASSWORD="YOURSSOPASSWORD"
Claude for Desktop Integration
Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:
{
"mcpServers": {
"tku-mcp": {
"command": "uv",
"args": [
"--directory",
"ABSOLUTE PATH TO FOLDER",
"run",
"server.py"
]
}
}
}Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
