Question 1

What is an MCP Server?

Accepted Answer

MCP stands for Model Context Protocol. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

Question 2

What is the OpenAI Image Generation MCP Server?

Accepted Answer

This MCP server provides tools for generating and editing images using OpenAI's `gpt-image-1` model via the official Python SDK. It allows AI agents to create visuals programmatically.

Question 3

What are the main features of this MCP server?

Accepted Answer

The server provides two main tools: `generate_image` for creating images from text prompts and `edit_image` for editing existing images or creating variations of them.

Question 4

What are the prerequisites for using this server?

Accepted Answer

You need Python (3.8+), pip, an OpenAI API key, and an MCP client environment (like Cline).

Question 5

How do I install the OpenAI Image Generation MCP Server?

Accepted Answer

Clone the repository from GitHub, set up a virtual environment (recommended), install the dependencies using `pip install -r requirements.txt`, and configure the server in your MCP client settings.

Question 6

How do I configure the server for Cline MCP Client?

Accepted Answer

Add the server's configuration to your `cline_mcp_settings.json` file, specifying the path to the `openai_image_mcp.py` file and your OpenAI API key (as an environment variable is recommended).

Question 7

How do I set the OpenAI API key?

Accepted Answer

It's strongly recommended to set the `OPENAI_API_KEY` environment variable with your OpenAI key instead of hardcoding it in the script.

Question 8

How do I use the `generate_image` tool?

Accepted Answer

Provide a JSON object with the `prompt` (text description of the image) as a required field. You can also specify optional parameters like `model`, `n` (number of images), `size`, `quality`, `user`, and `save_filename`.

Question 9

How do I use the `edit_image` tool?

Accepted Answer

Provide a JSON object with the `prompt` (text description of the desired edit) and `image_paths` (a list of paths to the input images) as required fields. You can also specify an optional `mask_path` for inpainting, as well as the same optional parameters as `generate_image`.

Question 10

What image formats are supported?

Accepted Answer

The `edit_image` tool requires input images to be in PNG format.

Question 11

Where are the generated images saved?

Accepted Answer

Images are saved in an `ai-images` subdirectory created where the `openai_image_mcp.py` script is located.

Question 12

Can I use this server with the UBOS platform?

Accepted Answer

Yes! This MCP server is designed to integrate seamlessly with the UBOS platform. UBOS simplifies the orchestration of AI Agents, enables connection to enterprise data, and facilitates the creation of custom AI Agents.

Question 13

What if I encounter errors while using the server?

Accepted Answer

The server returns an error dictionary with relevant details in case of failure. Check the error message and ensure that you have provided valid input parameters and that your OpenAI API key is correctly configured.

OpenAI Image Generation Server

Resources

Project Details

Recomended MCP Servers

Featured Templates

AI-Powered Product List Manager

Service ERP

Multi-language AI Translator

AI Voice Assistant (Voice-Text-Voice)

Image Generation with Stable Diffusion

Python Bug Fixer

Start your free trial