Which integrations are available for this server?

Provides tools for generating and editing images through OpenAI image models, supporting configurable size, quality, output format, and related options.

How do I use image-gen-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@image-gen-mcp generate a photorealistic image of a cozy cabin in snowy mountains" 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.

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image-gen-mcp

by seepine

Overview Schema Related Servers Score Discussions

TypeScript

Hybrid

Image Gen MCP

TypeScript MCP server for generating and editing images through OpenAI image models.

The server registers generate_image and edit_image tools, then writes the returned image bytes to disk. Stdio mode writes to the requested absolute filepath; SSE and streamable HTTP auto-save files and return image URLs.

Env

Name	Required	Default	Description
`BASE_URL`	No	AI SDK OpenAI default	OpenAI API URL prefix, for example `https://api.openai.com/v1`. Root URLs auto-append `/v1`.
`API_KEY`	Yes	-	OpenAI API key.
`MODEL`	No	`gpt-image-2`	OpenAI image model.
`FILE_DIR`	No	`./data`	Directory for auto-saved files in SSE/HTTP mode. Docker defaults this to `/data`.

Related MCP server: OpenAI GPT-Image MCP Server

Tool

`generate_image`

Arguments:

Name	Required	Default	Description
`prompt`	Yes	-	Image prompt.
`filepath`	Stdio	-	Stdio only. Absolute output path. Parent directories are created automatically.
`n`	No	`1`	Number of images, from `1` to `3`.
`size`	No	`auto`	`auto`, `256x256`, `512x512`, `1024x1024`, `1536x1024`, `1024x1536`, `1792x1024`, or `1024x1792`.
`quality`	No	`medium`	`low`, `medium`, `high`, or `auto`.
`background`	No	-	`transparent`, `opaque`, or `auto`.
`output_format`	No	`png`	`png`, `jpeg`, `jpg`, or `webp`; `jpg` is sent as `jpeg`.
`output_compression`	No	-	Compression level from `0` to `100`.
`moderation`	No	-	`auto` or `low`.
`overwrite`	Stdio	`false`	Stdio only. Allow replacing existing output files.

Known model size limits are validated before calling the upstream API. For example, gpt-image-* models support 1024x1024, 1536x1024, and 1024x1536; dall-e-2 supports 256x256, 512x512, and 1024x1024.

For n > 1, a filepath like /tmp/image.png becomes /tmp/image-1.png, /tmp/image-2.png, and so on.

In SSE and streamable HTTP modes, filepath and overwrite are not exposed. Generated files are saved as ${FILE_DIR}/YYYY-MM-DD/<uuid>.<ext> and returned with URLs like http://localhost:3000/file/YYYY-MM-DD/<uuid>.png.

`edit_image`

Arguments:

Name	Required	Default	Description
`prompt`	Yes	-	Edit instruction.
`image_path`	Yes	-	Absolute path to the source image to edit.
`mask_path`	No	-	Optional absolute path to the edit mask image.
`filepath`	Stdio	-	Stdio only. Absolute output path. Parent directories are created automatically.
`n`	No	`1`	Number of edited images, from `1` to `3`.
`size`	No	`auto`	`auto`, `256x256`, `512x512`, `1024x1024`, `1536x1024`, `1024x1536`, `1792x1024`, or `1024x1792`.
`quality`	No	`medium`	`low`, `medium`, `high`, or `auto`.
`background`	No	-	Edited image background behavior.
`output_format`	No	`png`	`png`, `jpeg`, `jpg`, or `webp`; `jpg` is sent as `jpeg`.
`output_compression`	No	-	Compression level from `0` to `100`.
`moderation`	No	-	`auto` or `low`.
`overwrite`	Stdio	`false`	Stdio only. Allow replacing existing output files.

The tool calls the OpenAI-compatible /images/edits endpoint with multipart form data. Output files follow the same filepath and auto-save behavior as generate_image.

Development

pnpm install
pnpm dev

Useful checks:

pnpm check
pnpm build

Stdio MCP Config

{
  "mcpServers": {
    "image-gen-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": ["image-gen-mcp"],
      "env": {
        "BASE_URL": "https://api.openai.com/v1",
        "API_KEY": "sk-...",
        "MODEL": "gpt-image-2"
      }
    }
  }
}

Streamable HTTP

{
  "mcpServers": {
    "image-gen-mcp": {
      "type": "http",
      "url": "http://localhost:3000/mcp",
      "headers": {
        "openai-base-url": "https://api.openai.com/v1",
        "openai-api-key": "sk-...",
        "openai-model": "gpt-image-2"
      }
    }
  }
}

Headers override the server-side env config; omit them to fall back to the env values. The Docker image runs streamable HTTP on port 3000.

SSE

The SSE transport lives in src/sse.ts and listens on PORT (default 4000) at /mcp, with messages posted to /message. Run it directly with pnpm start:sse; it is not started by the Docker image.

{
  "mcpServers": {
    "image-gen-mcp": {
      "type": "sse",
      "url": "http://localhost:4000/mcp",
      "headers": {
        "openai-api-key": "sk-..."
      }
    }
  }
}

Docker

docker build -t image-gen-mcp .
docker run --rm -p 3000:3000 \
  # 也可忽略apiKey，让使用方 headers 中传递
  -e BASE_URL=https://api.openai.com/v1 \
  -e API_KEY=sk-... \
  -e MODEL=gpt-image-2 \
  -v image-gen-data:/data \
  image-gen-mcp

Install Server

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–Releases (12mo)

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