📌Overview

Purpose: The MCP servers facilitate integration with OpenAI's o1 model and Flux capabilities using the Model Context Protocol.

Overview: This repository contains two primary MCP servers designed for seamless interaction with OpenAI's o1 preview model and Flux functionalities, allowing developers to leverage advanced AI capabilities in their applications.

Key Features:

OpenAI o1 MCP Server: Provides direct access to the o1-preview model with features like streaming support, configurable temperature and top_p parameters, and the ability to set system messages.
Flux MCP Server: Integrates state-of-the-art (SOTA) image model capabilities, enhancing image processing and manipulation tasks.

MCP Servers - OpenAI and Flux Integration

This repository contains MCP (Model Context Protocol) servers for integrating with OpenAI's o1 model and Flux capabilities.

Server Configurations

OpenAI o1 MCP Server

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

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

Key Features:

Direct access to o1-preview model
Streaming support
Control over temperature and top_p parameters
System message configuration

Flux MCP Server

The Flux server provides integration with Flux capabilities through MCP.

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

Key Feature:

State-of-the-art image model

Usage

Clone or fork the repository:

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

Set up environment variables in your .env file:
```
FLUX_API_KEY=your_flux_key_here
```
Start the servers using the configurations provided.

Security

Store API keys securely
Use environment variables for sensitive data
Follow security best practices

License

MIT License - See LICENSE file for details.