MCP With Rag Demo

🚀 Model Control Protocol (MCP) Example

This project offers a comprehensive example implementation to help users better understand and utilize the Model Control Protocol (MCP).

🚀 Quick Start

Project Dependencies

Before running the example, make sure to install all the required dependencies:

pip install -r requirements.txt

Environment Variable Configuration

Create a .env file and configure it as needed. We provide a template file .env.example. Refer to the following command:

cp .env.example .env

Edit the .env file and add your API key and other configurations:

OPENAI_API_KEY=your_api_key_here
MCP_SERVER_URL=http://localhost:3000
DEBUG=false

• OPENAI_API_KEY: Your OpenAI API key (required).
• MCP_SERVER_URL: The URL address of the MCP server (optional, default is http://localhost:3000).
• DEBUG: Enable debug mode (optional, default is false).

Run the Example

Run the following command to start the example:

python openai_example.py

You can also specify configurations directly through command-line arguments:

python openai_example.py --api-key your_api_key_here --server-url http://localhost:3000 --debug

✨ Features

Introduction to the Model Control Protocol

MCP is a protocol for managing and controlling machine learning models. It allows users to interact with different models through standardized interfaces, including operations such as training, inference, and optimization.

Functional Features

• Multi-model Support: Compatible with multiple deep learning frameworks (e.g., TensorFlow and PyTorch).
• Flexible Configuration: Supports custom parameters and hyperparameter tuning.
• Efficient Management: Provides model version control and deployment functions.

💻 Usage Examples

Example Functionality Description

1. Load environment variables and parse configurations.
2. Initialize the model client using the OpenAI API.
3. List available models.
4. Create a simple chat completion example.

📚 Documentation

Troubleshooting Common Issues

Connection Issues

• Connection Refused: Ensure that the server is running correctly and that the client is using the correct URL address (default is http://localhost:3000).
• Automatically Add /sse Path: When the specified URL lacks /sse, the client will automatically append this path at the end.

Debug Mode

If you encounter issues, enable debug mode to get more log information:

python client_example.py --debug

📄 License

This project is provided as an example implementation and is open-sourced under the MIT license. Please refer to the LICENSE file in the project for detailed license information.

For further information about the MCP protocol or the project, please visit our documentation page or contact the support team.