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OpenAI Universal MCP Server

This repository contains an implementation of an OpenAI Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with OpenAI's SEO and backlink analysis tools through a unified API.

The server is built using the Universal MCP framework.

This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.

Usage

You can start using OpenAI directly from agentr.dev. Visit agentr.dev/apps and enable OpenAI.

If you have not used universal mcp before follow the setup instructions at agentr.dev/quickstart

Available Tools

The full list of available tools is at ./src/universal_mcp_openai/README.md

Local Development

📋 Prerequisites

Ensure you have the following before you begin:

  • Python 3.11+ (recommended)
  • uv (install globally with pip install uv)

🛠️ Setup Instructions

Follow the steps below to set up your development environment:

  1. Sync Project Dependencies

    uv sync
    

    This installs all dependencies from pyproject.toml into a local virtual environment (.venv).

  2. Activate the Virtual Environment

    For Linux/macOS:

    source .venv/bin/activate
    

    For Windows (PowerShell):

    .venv\Scripts\Activate
    
  3. Start the MCP Inspector

    mcp dev src/universal_mcp_openai/mcp.py
    

    This will start the MCP inspector. Make note of the address and port shown in the console output.

  4. Install the Application

    mcp install src/universal_mcp_openai/mcp.py
    

📁 Project Structure

.
├── src/
│   └── universal_mcp_openai/
│       ├── __init__.py       # Package initializer
│       ├── mcp.py            # Server entry point
│       ├── app.py            # Application tools
│       └── README.md         # List of application tools
├── tests/                    # Test suite
├── .env                      # Environment variables for local development
├── pyproject.toml            # Project configuration
└── README.md                 # This file

📄 License

This project is licensed under the MIT License.


Generated with MCP CLI — Happy coding! 🚀

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