gpt-mcp
Generates images using the OpenAI API, supporting various sizes, qualities, and output formats.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gpt-mcpGenerate a logo for my app with a transparent background and save it as a PNG."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
gpt-mcp
A tiny local MCP server that lets Claude generate images with the OpenAI API.
It runs on your machine, so it reaches OpenAI over your network — which is why it works even though Claude's own sandbox can't call api.openai.com directly.
Two tools (on purpose)
Both generate an image the same way; they differ only in how the result comes back, so you can compare:
Tool | Returns | Best for | Tradeoff |
| A file path (writes the PNG to disk) | Real, full-res assets | Lossless, cheap on context. Claude reads the file from disk. |
| The image inline (base64 image block) | Small previews / icons | Claude sees it immediately, but can't perfectly re-save large images, and big files are heavy to pass. |
Rule of thumb: use generate_image_to_file for anything you want to keep; use generate_image_bytes to eyeball a quick result.
Related MCP server: gemini-nano-banana-mcp
Setup
cd gpt-mcp
npm installGet an API key from https://platform.openai.com/api-keys. For local testing you can copy .env.example → .env and paste it in. In Cowork / Claude Code you instead pass it via the server config (below).
Test it standalone (optional)
The MCP Inspector gives you a UI to call the tools directly:
OPENAI_API_KEY=sk-... npm run inspectRegister it with Claude
Claude Code (CLI):
claude mcp add gpt-mcp \
-e OPENAI_API_KEY=sk-your-key \
-e GPT_MCP_OUTPUT_DIR="/Users/kavindu/Documents/Claude/Projects/personal finance tracker/financial-app/src/assets" \
-- node "/Users/kavindu/Documents/Claude/Projects/personal finance tracker/gpt-mcp/src/index.js"Config file (Cowork / Claude Desktop / any MCP client) — add under mcpServers:
{
"mcpServers": {
"gpt-mcp": {
"command": "node",
"args": [
"/Users/kavindu/Documents/Claude/Projects/personal finance tracker/gpt-mcp/src/index.js"
],
"env": {
"OPENAI_API_KEY": "sk-your-key",
"GPT_MCP_OUTPUT_DIR": "/Users/kavindu/Documents/Claude/Projects/personal finance tracker/financial-app/src/assets"
}
}
}
}After it's connected, Claude can call generate_image_to_file / generate_image_bytes.
Parameters
Both tools accept:
prompt(required) — what to draw.size—1024x1024·1536x1024·1024x1536·auto(defaultauto).quality—low·medium·high·auto(defaultauto; higher = more cost).background—transparent·opaque·auto. Usetransparentfor logos/icons.output_format—png·webp·jpeg(defaultpng).
generate_image_to_file additionally accepts:
filename— name without extension (default: a slug of the prompt + timestamp).output_dir— where to save (default:GPT_MCP_OUTPUT_DIR, else./generated-images).
Environment variables
Var | Required | Purpose |
| yes | Your OpenAI key. |
| no | Defaults to |
| no | Default save folder for |
Notes
Images cost money on your OpenAI account (billed per image, higher quality costs more).
The server only logs to stderr — stdout is reserved for the MCP protocol.
node18+ required (uses built-infetch).
This server cannot be deployed
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