MCP Image

Name: MCP Image
Author: shinpr

by shinprversion 0.19.0i★ –iRuns on your computer

Registry nameio.github.shinpr/mcp-image

Install

Overview

Description from the maker (original English)

AI image generation and editing with prompt optimization and quality presets

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: GEMINI_API_KEY, OPENAI_API_KEY, ARK_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: IMAGE_PROVIDER, GEMINI_API_KEY, OPENAI_API_KEY, ARK_API_KEY, IMAGE_OUTPUT_DIR, IMAGE_QUALITY, SKIP_PROMPT_ENHANCEMENT

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "image": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-image"
      ],
      "env": {
        "IMAGE_PROVIDER": "your-value",
        "GEMINI_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value",
        "ARK_API_KEY": "your-value",
        "IMAGE_OUTPUT_DIR": "your-value",
        "IMAGE_QUALITY": "your-value",
        "SKIP_PROMPT_ENHANCEMENT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add image --env IMAGE_PROVIDER=your-value --env GEMINI_API_KEY=your-value --env OPENAI_API_KEY=your-value --env ARK_API_KEY=your-value --env IMAGE_OUTPUT_DIR=your-value --env IMAGE_QUALITY=your-value --env SKIP_PROMPT_ENHANCEMENT=your-value -- npx -y mcp-image

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "image": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-image"
      ],
      "env": {
        "IMAGE_PROVIDER": "your-value",
        "GEMINI_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value",
        "ARK_API_KEY": "your-value",
        "IMAGE_OUTPUT_DIR": "your-value",
        "IMAGE_QUALITY": "your-value",
        "SKIP_PROMPT_ENHANCEMENT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "image": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-image"
      ],
      "env": {
        "IMAGE_PROVIDER": "your-value",
        "GEMINI_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value",
        "ARK_API_KEY": "your-value",
        "IMAGE_OUTPUT_DIR": "your-value",
        "IMAGE_QUALITY": "your-value",
        "SKIP_PROMPT_ENHANCEMENT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

IMAGE_PROVIDER env
Image provider to use: 'gemini' (default), 'openai', or 'seedream'
GEMINI_API_KEY secret env
Google Gemini API key for image generation when IMAGE_PROVIDER=gemini (get from https://aistudio.google.com/apikey)
OPENAI_API_KEY secret env
OpenAI API key for image generation when IMAGE_PROVIDER=openai. Requires OpenAI organization verification to access GPT Image 2.6 (https://platform.openai.com/settings/organization/general)
ARK_API_KEY secret env
BytePlus ModelArk AP region API key required when IMAGE_PROVIDER=seedream
IMAGE_OUTPUT_DIR env
Absolute or working-directory-relative path where generated images will be saved (defaults to ./output)
IMAGE_QUALITY env
Default quality preset: 'fast' (default), 'balanced', or 'quality'
SKIP_PROMPT_ENHANCEMENT env
Set to 'true' to disable automatic prompt optimization and use direct prompts

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account shinpr, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2202 servers in this category
Published to the registry more recently than 94% of the other 2202 servers in this category
Basic checks equal to or better than 100% of the other 2202 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Image safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GEMINI_API_KEY, OPENAI_API_KEY, ARK_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.19.0) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

by GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago

Install

Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MCP Image Generator 🍌

Generate and edit images from Codex, Cursor, Claude Code, or any MCP client. mcp-image adds visual direction to your request before sending it to Gemini, OpenAI, or BytePlus Seedream.

Tell it what image to create or what to change in an existing image, and what it is for. The result is saved to disk and returned to your assistant.

What It Does

Before generating an image, mcp-image rewrites short requests into more specific prompts. It keeps what you asked for and fills in what the image needs for its use, such as lighting and camera angle for a photo or layout for a poster. Text you want in the image stays as you wrote it, in your language. The more detail you provide, the less it changes.

You ask:

"A photo of a roast chicken dinner for a recipe site. It should look like it was actually cooked, and it should be partway through being carved so you can tell how juicy it is."

mcp-image sends to the image model:

"... a freshly roasted whole chicken resting on a rustic, seasoned wooden carving board. The chicken features deeply bronzed, blistered, and crispy skin ... It is partway carved, with one breast cleanly sliced open to reveal tender, steaming-hot white meat glistening with natural juices pooling slightly onto the board ... shallow depth of field with a softly blurred background."

*Generated with Gemini using the default fast quality preset.*

What carried through:

for a recipe site: one clear subject, with everything else kept subordinate
actually cooked: blistered, uneven browning, rising steam, and drippings on the knife
partway through being carved: one breast sliced open, with the cut piece still resting against the bird
how juicy it is: juices pooling on the board and shallow depth of field around the cut

Compare the same request with prompt enhancement turned off

*Baseline from the same request, with prompt enhancement disabled.*

Set SKIP_PROMPT_ENHANCEMENT=true to send the original prompt to the image model unchanged.

Quick Start

You need Node.js 22 or later, an MCP-compatible client, and an API key for one image provider.

1. Get an API key

All three providers generate and edit images. Gemini is the default and requires the least configuration.

Provider	Image size	Output format	Setup
Gemini (default)	1K, 2K, 4K	Automatic	Get a key, then set `GEMINI_API_KEY`
OpenAI	1K, 2K, 4K	PNG or JPEG	Get a key, then set `IMAGE_PROVIDER=openai` and `OPENAI_API_KEY`
BytePlus Seedream	1K, 2K	PNG or JPEG	Get an AP region key, then set `IMAGE_PROVIDER=seedream` and `ARK_API_KEY`

Google Search grounding is available with Gemini only. OpenAI may require organization verification before it can generate images.

The examples below use Gemini. Replace the provider settings if you prefer OpenAI or Seedream.

2. Configure your MCP client

Codex

Add this to ~/.codex/config.toml:

[mcp_servers.mcp-image]

command = "npx" args = ["-y", "mcp-image"]

[mcp_servers.mcp-image.env] GEMINI_API_KEY = "your_gemini_api_key_here" IMAGE_OUTPUT_DIR = "/absolute/path/to/images"

Cursor

Add this to ~/.cursor/mcp.json for all projects, or .cursor/mcp.json in a project:

"mcpServers": { "mcp-image": { "command": "npx", "args": ["-y", "mcp-image"], "env": { "GEMINI_API_KEY": "your_gemini_api_key_here", "IMAGE_OUTPUT_DIR": "/absolute/path/to/images" } } } }

Claude Code

Run this in your project directory:

claude mcp add mcp-image --env GEMINI_API_KEY=your-api-key --env IMAGE_OUTPUT_DIR=/absolute/path/to/images -- npx -y mcp-image

Add --scope user after mcp-image to make it available in every project.

Never commit API keys to version control. Use an absolute IMAGE_OUTPUT_DIR in MCP configuration because the server's working directory depends on the client. If omitted, images are written to ./output relative to that working directory.

3. Generate an image

Restart your MCP client after changing its configuration, then ask your AI assistant:

Generate a product photo of a ceramic coffee mug on a wooden desk.

The generated file is saved in the configured output directory and returned to the assistant as an MCP resource.

Run mcp-image from a local checkout

pnpm install

pnpm run build

Configure the MCP client to run the local build instead of npx -y mcp-image:

node /absolute/path/to/mcp-image/dist/index.js

More Examples

Edit an existing image

Give the assistant an absolute path to the source image:

Edit /path/to/image.jpg so the person is facing right.

Control the result

Generate a high-quality product photo of a smartphone with clear text on the screen.
Generate a cinematic desert landscape in a 21:9 aspect ratio.
Keep the knight's appearance consistent with the previous image.

See the tool reference for the options your assistant can pass explicitly.

Configuration

Changing the provider changes both prompt enhancement and image generation. The way you ask for an image stays the same.

Quality

IMAGE_QUALITY accepts fast (default), balanced, or quality. Set it in the MCP server environment:

IMAGE_QUALITY=balanced

Use fast to try ideas quickly, balanced for everyday use, and quality for complex scenes or images where small details matter. Higher settings can take longer and cost more; results vary by provider.

All three providers support these presets for generation and editing. You can override the default with the quality option on each request.

Environment variables

Variable	Default	Description
`IMAGE_PROVIDER`	`gemini`	Default provider: `gemini`, `openai`, or `seedream`
`GEMINI_API_KEY`	-	API key for Gemini
`OPENAI_API_KEY`	-	API key for OpenAI
`ARK_API_KEY`	-	ModelArk AP API key for Seedream
`IMAGE_OUTPUT_DIR`	`./output`	Directory where generated images are saved; use an absolute path in MCP configuration
`IMAGE_QUALITY`	`fast`	Default quality preset: `fast`, `balanced`, or `quality`
`SKIP_PROMPT_ENHANCEMENT`	`false`	Set to `true` to send prompts through unchanged

You can configure keys for more than one provider and switch per request. A request-level provider option takes precedence over IMAGE_PROVIDER.

Tool Reference

Your MCP client calls this tool for you. Open the reference when you need to check an option or provider limitation.

generate_image parameters

Parameter	Type	Required	Description
`prompt`	string	Yes	Image description or editing instruction
`quality`	string	No	`fast`, `balanced`, or `quality`; overrides `IMAGE_QUALITY`
`provider`	string	No	`gemini`, `openai`, or `seedream`; overrides `IMAGE_PROVIDER`
`inputImagePaths`	string[]	No	Absolute paths to input images for editing
`fileName`	string	No	Output filename; `.png`, `.jpg`, or `.jpeg` selects the format for OpenAI and Seedream
`aspectRatio`	string	No	`1:1` (default), `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, `21:9`, `1:4`, `1:8`, `4:1`, or `8:1`
`imageSize`	string	No	`1K`, `2K`, or `4K`; availability depends on the provider
`blendImages`	boolean	No	Add blending guidance when combining visual elements
`maintainCharacterConsistency`	boolean	No	Keep a character's appearance consistent across images
`useWorldKnowledge`	boolean	No	Add context for historical figures, landmarks, and factual scenes
`useGoogleSearch`	boolean	No	Gemini only. Use Google Search grounding for current information
`purpose`	string	No	Intended use, such as `cookbook cover` or `social media post`
`category`	string	No	Kind of image: `photo`, `illustration`, `asset`, `ui-screen`, `graphic-design`, `diagram`, or `pattern-texture`. Your assistant sets it when the kind is clear

Troubleshooting

API key not found

Check that the key for the selected provider is present in the MCP server's environment:

Gemini: GEMINI_API_KEY
OpenAI: OPENAI_API_KEY
Seedream: ARK_API_KEY

Restart the MCP client after changing its configuration.

Input image file not found

Use absolute paths and make sure the MCP server can read the files. Input images can be PNG, JPEG, or WebP and must be no larger than 10 MiB each. Seedream editing accepts PNG and JPEG only.

Provider rejects a request

Check the requested size in the provider table. useGoogleSearch works with Gemini only, and Seedream does not support 4K. For OpenAI permission errors, check your organization settings. For quota or rate-limit errors, check the selected provider account.

Image Generation Prompt Skill

This repository also includes an Agent Skill for assistants that already have access to an image generation tool. It teaches the prompt-writing approach used by mcp-image and works independently of this server.

Install it with:

npx mcp-image skills install --path <skills-directory>

For example, use ~/.codex/skills, ~/.cursor/skills, or ~/.claude/skills as the destination.

License

MIT License. See LICENSE for details.

Need help? Open an issue or check Troubleshooting.

MCP Image

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

MCP Image Generator 🍌

What It Does

Quick Start

1. Get an API key

2. Configure your MCP client

Codex

Cursor

Claude Code

3. Generate an image

More Examples

Edit an existing image

Control the result

Configuration

Quality

Environment variables

Tool Reference

Troubleshooting

API key not found

Input image file not found

Provider rejects a request

Image Generation Prompt Skill

License