pixelforge-mcp 0.1.1

AI-powered image generation MCP server with multi-model support

PixelForge MCP

An MCP server for AI-powered image generation, editing, and analysis using Google's Gemini models.

Features

• Generate images from text prompts with per-request model switching
• Edit existing images using natural language instructions
• Analyze images with AI-powered descriptions
• 10 aspect ratios and temperature control for creative flexibility
• Async-first architecture with full Pydantic validation
• Self-documenting tools with built-in model selection guidance

Quick Start

Requirements: Python 3.10+ and a Google API key

Install

pipx install pixelforge-mcp

Configure

Claude Code:

claude mcp add pixelforge --scope user -e GOOGLE_API_KEY="your-key" -- pixelforge-mcp

Claude Desktop — edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "pixelforge": {
      "command": "pixelforge-mcp",
      "env": { "GOOGLE_API_KEY": "your-key" }
    }
  }
}

Restart Claude Desktop after saving.

Use

Ask Claude to generate, edit, or analyze images — the tools are available automatically.

Available Tools

generate_image

Generate an image from a text prompt.

Parameters:

• prompt (required): Text description of the image
• output_filename (optional): Custom filename
• aspect_ratio (optional): Image dimensions (default: "1:1")
• temperature (optional): Creativity level 0.0-1.0 (default: 0.7)
• model (optional): Model to use (default: "gemini-2.5-flash-image")
• safety_setting (optional): Content safety filter — "preset:strict" (default) or "preset:relaxed"

Example prompts:

Generate an image of a futuristic city at sunset with flying cars in 16:9 widescreen

Create a watercolor painting of a cat sleeping on a bookshelf, use the pro model

Generate a minimalist logo for a coffee shop called "Bean There" in square format with high creativity

edit_image

Edit an existing image with a text prompt.

Parameters:

• prompt (required): Description of desired changes
• input_image_path (required): Path to the image to edit
• output_filename (optional): Custom filename for edited image
• temperature (optional): Creativity level 0.0-1.0 (default: 0.7)

Example prompts:

Edit this image and add a rainbow in the sky

Remove the background and replace it with a gradient

Make this photo look like it was taken during golden hour

analyze_image

Get an AI-powered description and analysis of an image.

Parameters:

• image_path (required): Path to the image to analyze

Example prompts:

Analyze this image and describe what you see

What's in this screenshot?

list_available_models

List all available Gemini image generation models with capabilities and selection guidance.

Example prompts:

What image generation models are available?

Which model should I use for photorealistic images?

get_server_info

Get server configuration and status information.

Example prompts:

Show me the PixelForge server configuration

What's the default model and output directory?

Model Selection & Switching

PixelForge supports per-request model switching — choose the right model for your task:

Use case	Model	Why
Fast iterations	gemini-2.5-flash-image (default)	Speed, lower cost
High quality output	gemini-3-pro-image-preview	Photorealism, complex scenes
Text in images	gemini-3-pro-image-preview	Legible text rendering
High resolution (2K/4K)	gemini-3-pro-image-preview	Native high-res support

Example prompts:

Generate a quick concept sketch of a logo

Uses default fast model (gemini-2.5-flash-image).

Generate a photorealistic portrait with intricate details using the pro model in 16:9

Switches to quality model (gemini-3-pro-image-preview).

Best Practices:

1. Use gemini-2.5-flash-image (default) for rapid prototyping
2. Switch to gemini-3-pro-image-preview for production quality
3. Always use gemini-3-pro-image-preview for readable text in images
4. Ask Claude to "list available models" for detailed model metadata

Supported Aspect Ratios

Ratio	Description
1:1	Square (default)
16:9	Widescreen landscape
9:16	Mobile portrait
2:3	Classic portrait
3:2	Classic landscape
3:4	Portrait
4:3	Traditional landscape
4:5	Instagram portrait
5:4	Medium format
21:9	Ultrawide

Troubleshooting

"Invalid API key" or "Authentication failed"

Double-check your Google API key is correct and has access to the Gemini API. Get a key at Google AI Studio.

"Command not found: pixelforge-mcp"

Ensure the pipx bin directory is in your PATH:

export PATH="$HOME/.local/bin:$PATH"

"Server not starting"

Check that pixelforge-mcp is installed:

pipx list | grep pixelforge

Documentation

• Configuration Guide — detailed setup and environment options
• Changelog — version history

Contributing

See CONTRIBUTING.md for development setup, code standards, and pull request guidelines.

License

AGPL-3.0

Acknowledgments

Built with FastMCP, Pydantic, and gemini-imagen.

Author

Ahmed Al-Eryani @ Tehnolabs

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PixelForge MCP - Forging pixels with AI