🚀 MCP: The CLI-Based Universal AI Application Connector

Welcome to the MCP repository! This project implements the Model Context Protocol (MCP), designed to enhance large language models (LLMs) by standardizing context provisioning. With MCP, you can easily connect to your server of choice and elevate your AI capabilities. This open-source tool is perfect for developers looking to build the next generation of AI applications.

Table of Contents

• Features
• Installation
• Usage
• Contributing
• License
• Contact

Features

• Open Source: MCP is fully open-source, allowing you to modify and enhance the code as you see fit.
• Universal Compatibility: Connect to any server easily, making it versatile for various applications.
• Standardized Context Provisioning: Boost your LLM's performance with standardized context management.
• Developer-Friendly: Built with developers in mind, offering a simple command-line interface (CLI) for quick setup and use.
• Extensive Documentation: Comprehensive guides and examples to help you get started quickly.

Installation

To install MCP, follow these simple steps:

1. Clone the Repository:

   git clone https://github.com/ItzEmirKun/mcp.git
   cd mcp
   

2. Install Dependencies: Ensure you have Python installed. Then, install the required packages:

   pip install -r requirements.txt
   

3. Download and Execute the Latest Release: Visit the Releases section to download the latest version. Follow the instructions provided there to execute the application.

Usage

Once installed, you can start using MCP. Here’s how to get started:

1. Run the Application:

   python mcp.py
   

2. Connect to Your Server: Use the following command to connect to your server:

   mcp connect <your-server-url>
   

3. Interact with the LLM: After connecting, you can send queries and receive responses from your LLM.

Example Commands

• Connecting to a Local Server:

  mcp connect http://localhost:5000
  

• Sending a Query:

  mcp query "What is the capital of France?"
  

Configuration

You can customize your settings in the config.json file. Here’s a sample configuration:

{
    "server_url": "http://localhost:5000",
    "timeout": 30,
    "max_tokens": 150
}

Contributing

We welcome contributions from everyone! Here’s how you can help:

1. Fork the Repository: Click on the fork button in the top right corner of the repository page.
2. Create a Branch: Create a new branch for your feature or bug fix.

   git checkout -b feature/my-feature
   

3. Make Changes: Implement your changes and commit them.

   git commit -m "Add my feature"
   

4. Push to Your Fork:

   git push origin feature/my-feature
   

5. Open a Pull Request: Go to the original repository and create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For questions or suggestions, feel free to reach out:

• Email: your-email@example.com
• GitHub: ItzEmirKun

Thank you for checking out MCP! We hope it enhances your AI projects. For more updates, visit the Releases section regularly.