Allaboutai YT MCP Servers

🚀 MCP Server - Integration with OpenAI and Flux

This repository contains the MCP (Model Context Protocol) server for integrating with OpenAI's o1 model and Flux features. It provides a seamless way to interact with advanced AI models and image generation capabilities.

🚀 Quick Start

Prerequisites

• Ensure you have the necessary API keys for OpenAI and Flux.
• Git should be installed on your system for cloning the repository.

Steps

1. Clone or fork this repository:

git clone https://github.com/AllAboutAI-YT/mcp-servers.git

2. Set the environment variables in your .env file:

FLUX_API_KEY=your_flux_key_here

3. Start the server using the configurations provided below.

✨ Features

OpenAI o1 MCP Server

The o1 server enables interaction with OpenAI's o1 preview model via the MCP protocol.

{
  "mcpServers": {
    "openai": {
      "command": "openai-server",
      "env": {
        "OPENAI_API_KEY": "apikey"
      }
    }
  }
}

Key Features:

• Direct access to the o1 preview model.
• Support for streaming.
• Control over temperature and top_p parameters.
• Configuration of system messages.

Flux MCP Server

The Flux server integrates with Flux features through the MCP protocol.

{
  "mcpServers": {
    "flux": {
      "command": "flux-server",
      "env": {
        "REPLICATE_API_TOKEN": "your-replicate-token"
      }
    }
  }
}

Key Features:

• Access to SOTA image models.

📦 Installation

1. Clone the Repository
   • Use the following command to clone the repository to your local machine:

   git clone https://github.com/AllAboutAI-YT/mcp-servers.git
   

2. Set Environment Variables
   • Create a .env file in the root directory of the project.
   • Add the necessary environment variables, for example:

   FLUX_API_KEY=your_flux_key_here
   

3. Start the Server
   • Use the provided JSON configurations to start the respective servers.

💻 Usage Examples

Basic Usage

After setting up the environment variables and starting the server, you can interact with the OpenAI o1 model or Flux features based on your requirements. For example, if you want to use the OpenAI o1 model, ensure the OPENAI_API_KEY is correctly set in the configuration and start the openai - server.

Advanced Usage

For more advanced scenarios, you can adjust the parameters such as temperature and top_p in the OpenAI o1 server configuration to fine - tune the model's output. In the Flux server, you can explore different SOTA image models available.

📚 Documentation

Server Configuration

• OpenAI o1 MCP Server: The configuration for the OpenAI o1 server allows you to set the API key and start the server. You can customize the interaction with the o1 preview model by adjusting the parameters in the configuration.
• Flux MCP Server: The Flux server configuration requires the REPLICATE_API_TOKEN. It enables you to access state - of - the - art image models.

Usage Steps

The steps provided in the "Quick Start" section guide you through cloning the repository, setting up environment variables, and starting the server.

⚠️ Important Note

• Securely store your API keys.
• Use environment variables to store sensitive data.
• Follow the security best practices outlined in the SECUTITY.md file.

📄 License

This project is licensed under the MIT License. For detailed information, please refer to the LICENSE file.