Interactive MCP

🚀 Interactive MCP Project Interaction Guide

This is an interactive MCP (Machine Learning Platform) project designed to provide an efficient interactive interface. Users can interact with machine learning models in real - time through this project and get various functional supports.

🚀 Quick Start

This interactive MCP project offers a seamless way to engage with machine learning models. With its user - friendly interface, users can easily input data, call pre - trained models, and view results.

✨ Features

• Data Input: Users can directly input data and receive real - time feedback.
• Model Invocation: Supports multiple pre - trained machine learning models for easy user invocation.
• Result Display: Presents interaction results and analysis reports in a friendly interface.

📚 Documentation

Use Cases

Data Scientists

Use it to quickly test and validate various machine learning algorithms and support custom model deployment.

Developers

It provides API interfaces for easy integration into various application systems, enhancing development efficiency.

Researchers

Supports large - scale data processing and analysis, facilitating academic research and paper writing.

Client Configuration Guide

Basic Configuration

Create a config.json file in the root directory of the project and add the following content:

{
  "mcp": {
    "servers": {
      "interactive-mcp": {
        "command": "node",
        "args": ["index.js"]
      }
    }
  }
}

Advanced Configuration

Enable Logging

Add logging configuration to config.json:

{
  "logging": {
    "level": "debug",
    "file": "mcp.log"
  }
}

Security Settings

Enable authentication to protect API interfaces:

{
  "security": {
    "apiKey": "your-secret-key",
    "enableAuth": true
  }
}

Development Environment Setup

System Requirements

• Operating System: Supports Linux, macOS, Windows.
• Node.js Version: v14.0.0 or higher.
• Npm Version: v6.0.0 or higher.

Installation Steps

1. Clone the project repository:

   git clone https://github.com/username/repo.git
   cd repo
   

2. Install dependencies:

   npm install
   

3. Start the development server:

   npm run dev
   

Command - Line Options

Parameter Description

Example

npm start -- --port 3001 --env production --config config.prod.json

Error Handling

Common Issues

• Port Occupied: Try changing the port number or stopping the process that occupies the port.
• Missing Dependencies: Ensure that all dependencies are correctly installed.

View Detailed Logs

Check the mcp.log file for more error information:

cat mcp.log

Security Precautions

⚠️ Important Note

• Credential Management: Do not store sensitive information in plain text in the code. It is recommended to use environment variables.
• Access Control: Configure appropriate security policies to prevent unauthorized access.

📄 License

The project follows the MIT license. For more information, please refer to the LICENSE file.

This is the complete interaction guide for the project, covering all aspects such as installation, configuration, usage, development, and maintenance. For further support, please contact the project maintainers.