mcp-servers

All About AI MCP Servers

79 stars JavaScriptAI & Machine Learning Updated Oct 7, 2025

Documentation

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.

json

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

Key features:

Direct access to o1-preview model
Streaming support
Temperature and top_p parameter control
System message configuration

Flux MCP Server

The Flux server provides integration with Flux capabilities through MCP.

json

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

Key features:

SOTA Image Model

Usage

1. Clone or Fork Server

bash

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

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

env

FLUX_API_KEY=your_flux_key_here

3. Start the servers using the configurations above.

Security

Store API keys securely
Use environment variables for sensitive data
Follow security best practices in SECURITY.md

License

MIT License - See LICENSE file for details.

Frequently asked questions

What is mcp-servers?

mcp-servers is All About AI MCP Servers

How do I install mcp-servers?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mcp-servers open source?

Yes — it is hosted on GitHub at https://github.com/AllAboutAI-YT/mcp-servers and has 79 stars.

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