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andyluu98/ai-image-gpt-mcp

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Standalone MCP server + CLI for ChatGPT image generation (image only), with reliable single-file output

Overview

A trimmed, image-focused fork of ai-slides-mcp: all the slide / PowerPoint features are removed, and the image-generation path is made (one call = one image = one exact returned path, no re-generation). - aigpt gen " " generates an image via the ChatGPT backend and saves it. - MCP tools generate_image and login_status for use inside Claude Code, Codex, etc. - Multi-account login with quota-aware selection. The original tool returned images into a directory with an auto-generated name, which made callers guess where the file landed and sometimes (wasting quota). This fork fixes that: - aigpt gen "..." --out shot.png saves to shot.png and prints its on stdout (one line). Use that path directly. - --out still works for a directory of n images. - The MCP generate_image returns absolute paths in {"paths": [...]}. One generation call produces one image. Never re-run a call to "find" the file. --thinking (auto/standard/extended/max) raises image reasoning effort; higher renders text (e.

README

ai-image-gpt-mcp

Standalone MCP server + CLI for ChatGPT image generation (image only).

A trimmed, image-focused fork of ai-slides-mcp: all the slide / PowerPoint features are removed, and the image-generation path is made reliable (one call = one image = one exact returned path, no re-generation).

What it does

  • aigpt gen "" generates an image via the ChatGPT backend and saves it.
  • MCP tools generate_image and login_status for use inside Claude Code, Codex, etc.
  • Multi-account login with quota-aware selection.

The reliability fix

The original tool returned images into a directory with an auto-generated name, which made callers guess where the file landed and sometimes re-generate the same image (wasting quota). This fork fixes that:

  • aigpt gen "..." --out shot.png saves to exactly shot.png and prints its absolute path on stdout (one line). Use that path directly.
  • --out still works for a directory of n images.
  • The MCP generate_image returns absolute paths in {"paths": [...]}.

One generation call produces one image. Never re-run a call to “find” the file.

Install

Requires Python 3.12+ and uv.

git clone https://github.com/andyluu98/ai-image-gpt-mcp.git
cd ai-image-gpt-mcp
uv sync

Login (2-step OAuth with ChatGPT)

uv run aigpt login
# A browser opens -> log into ChatGPT -> you land on a platform.openai.com page.
# Copy the FULL callback URL, then:
uv run aigpt login --callback ""

uv run aigpt accounts   # check logged-in accounts + live quota

Generate

# one exact file
uv run aigpt gen "a red apple on white, minimal" --out shot.png

# skip prompt auto-expansion (faster, more literal) + set reasoning effort
uv run aigpt gen "..." --out shot.png --no-enhance --thinking standard

# a directory of N images
uv run aigpt gen "..." --n 2 --out ./images

# aspect ratio: 16:9 (default), 1:1, 9:16, 4:3, 3:4, or WxH
uv run aigpt gen "..." --aspect 9:16 --out portrait.png

--thinking (auto/standard/extended/max) raises image reasoning effort; higher renders text (e.g. Vietnamese diacritics) better but is slower.

Register as an MCP server

Same shape for Claude Code, Codex, Antigravity:

{
  "mcpServers": {
    "ai-image-gpt": {
      "command": "uv",
      "args": ["run", "--directory", "", "aigpt-mcp"]
    }
  }
}

Exposed tools: generate_image, login_status.

Disclaimer

This tool talks to the ChatGPT web backend (vendored chatgpt2api), not an official OpenAI API. Using it may violate OpenAI’s Terms of Service and can get your account rate-limited or banned. For experimentation only. You are responsible for your use.

Credits

View the full README on GitHub

Install

This server does not publish a one-line install command.

Open the repository installation guide New to MCP? Start with the mcpskill.org guide →

Configuration

{ "mcpServers": { "ai-image-gpt": { "command": "uv", "args": ["run", "--directory", "<absolute path to this repo>", "aigpt-mcp"] } } }