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TKU Academic Systems (TronClass & TKU Ilife)
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TKU Academic Systems (TronClass & TKU Ilife)

The TKU-MCP project connects TronClass and Claude AI through the MCP protocol to achieve interactive functions.
Education and learning toolsArtificial intelligence chatbots#Educational AI#Protocol integration#Claude extension.Python
2.5 points
20

What is TKU-MCP?

TKU-MCP is a Model Context Protocol (MCP) server used to connect TronClass and Claude AI. It allows Claude AI to directly access learning resources and data in TronClass.

How to use TKU-MCP?

Users need to install the necessary dependencies, set environment variables, and then start the server. The Claude desktop client can connect to this server through a configuration file.

Applicable scenarios

Suitable for educational institutions or individual teachers who want to use AI to enhance the teaching experience, such as generating personalized learning suggestions or automatically grading assignments.

Main features

Integration of TronClass and Claude AIAllows Claude AI to access course content and student data in TronClass.
Real-time interactionSupports real-time requests and responses to ensure quick feedback.
Security authenticationUses username and password for authentication to ensure data security.

Advantages and limitations

Advantages
Improve teaching efficiency and personalization
Simplify the access process of AI tools
Powerful API supports various application scenarios
Limitations
Only for demonstration purposes, not suitable for production environments
Requires a certain technical foundation for deployment and maintenance

How to use

Install dependencies
Ensure that Python 3.10 or a higher version is installed, and install uv through the package manager.
Configure environment variables
Create a `.env` file and fill in the TronClass username and password.
Start the server
Run the `server.py` script to start the MCP server.
Configure the Claude desktop client
Add the MCP server configuration in the Claude settings.

Usage examples

Generate learning suggestionsGenerate personalized learning suggestions based on students' past grades and behavior patterns.
Automatically grade assignmentsAutomatically evaluate students' assignment completion and provide improvement suggestions.

Frequently Asked Questions

Is this server suitable for production environments?
How to ensure data security?
What if there is a configuration error?

Related resources

GitHub repository
Source code and documentation for the project.
Claude desktop client
The official desktop application of Claude AI.
MCP protocol documentation
Understand the working principle of the MCP protocol.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
      "tku-mcp": {
          "command": "uv",
          "args": [
              "--directory",
              "ABSOLUTE PATH TO FOLDER",
              "run",
              "server.py"
          ]
      }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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