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Image MCP Server

An MCP (Model Context Protocol) server that provides AI image generation capabilities using the ai-image npm module, which wraps around OpenAI and Replicate image inference APIs.

Features

  • generate_ai_image: Generate AI images with customizable prompts, sizes, models, and styles

  • square_image: Generate square images (1024x1024) - shortcut command

  • landscape_image: Generate landscape images (1536x1024) - shortcut command

  • portrait_image: Generate portrait images (1024x1536) - shortcut command

  • Built on the ai-image module for seamless integration with OpenAI and Replicate APIs

  • Simple setup and configuration

Related MCP server: GPT Image MCP Server

Installation

npm install -g image-mcp

Setup

Claude Desktop Configuration

Add the following to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "image-mcp": {
      "command": "npx",
      "args": ["image-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "REPLICATE_API_TOKEN": "your-replicate-api-token",
        "MCP_TIMEOUT": "1200000"
      },
      "resetTimeoutOnProgress": true
    }
  }
}

Environment Variables

The server requires API keys for the underlying image generation services:

  • OPENAI_API_KEY: Your OpenAI API key for GPT-based models (we won't be supporting Dall-e models as they'll likely be dropped soon)

  • REPLICATE_API_TOKEN: Your Replicate API token for other AI models

Usage

Once configured, you can use the image generation functions through Claude:

generate_ai_image

Generate AI images with various parameters:

  • prompt (required): Text description of the image to generate

  • size (optional): Image dimensions in WIDTHxHEIGHT format (default: "1024x1024")

  • model (optional): Specific AI model to use

  • output (optional): Custom output file path

Shortcut Commands

For convenience, use these preset size commands:

  • square_image: Generate 1024x1024 square images

  • landscape_image: Generate 1536x1024 landscape images

  • portrait_image: Generate 1024x1536 portrait images

All shortcut commands accept the same parameters as generate_ai_image except size (which is preset).

Example prompts:

  • "A red cat in Picasso style"

  • "A sunset over mountains, photorealistic"

  • "Abstract geometric patterns in blue and gold"

Development

# Clone the repository
git clone https://github.com/iplanwebsites/image-mcp.git
cd image-mcp

# Install dependencies
npm install

# Run in development mode
npm run dev

# Start the server
npm start

Requirements

  • Node.js >= 18.0.0

  • Valid API keys for OpenAI and/or Replicate

TODOs

Urgent

  • Fix npm module issue: It only works locally...

Improvements

  • Better guides: Add more detailed setup guides with troubleshooting steps, an Add to cursor button, etc

  • Use ai-image library directly: Replace subprocess CLI calls with direct library imports

  • Return file paths: Return created image file paths in response

  • Local inference support: Add support for local models like Flux

  • Image optimization: Add lightweight image resizing and optimization options

  • Image captioning tool: Add captioning model for basic use cases (useful for models without vision)

License

MIT

Available Tools

5 tools
generate_ai_imageC

Generate AI images using the ai-image npm module

Inputs: prompt (required), output_dir (required), size, model, +3 more.

landscape_imageA

Generate a landscape AI image (1536x1024) - works great for cover images - shortcut for generate_ai_image

Inputs: prompt (required), output_dir (required), model, output, +2 more.

pizza-testC

Mock test tool that returns a password

Inputs: no named parameters.

portrait_imageA

Generate a portrait AI image (1024x1536) - shortcut for generate_ai_image

Inputs: prompt (required), output_dir (required), model, output, +2 more.

square_imageA

Generate a square AI image (1024x1024) - shortcut for generate_ai_image

Inputs: prompt (required), output_dir (required), model, output, +2 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    C2.9/5.0

    Scored across 5 tools

    Disambiguation2/5

    Multiple tools have unclear boundaries and overlapping purposes. The 'landscape_image', 'portrait_image', and 'square_image' tools are explicitly described as shortcuts for 'generate_ai_image', creating significant ambiguity about when to use the general tool versus the specific ones. Additionally, 'pizza-test' appears unrelated to image generation, further confusing the tool set's purpose.

    Naming Consistency3/5

    The naming conventions are mixed but still readable. Most tools follow a consistent snake_case pattern (e.g., 'generate_ai_image', 'landscape_image'), but 'pizza-test' uses kebab-case, breaking the pattern. The verb styles are somewhat inconsistent, with 'generate' used for some and implied for others.

    Tool Count4/5

    The tool count of 5 is reasonable for an image generation server, though it feels slightly thin due to the redundancy among tools. It's not excessive, but the inclusion of a mock test tool ('pizza-test') that doesn't align with the domain reduces the effective scope, making the count borderline appropriate.

    Completeness2/5

    There are significant gaps in the tool surface for an image generation domain. The server lacks essential operations such as editing, resizing, filtering, or deleting images, and it offers no way to manage or retrieve generated images. The tools are narrowly focused on generation only, with redundant shortcuts, and the unrelated 'pizza-test' tool adds confusion rather than functionality.

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