Skip to main content

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

Project description

PyPI version Python versions License: AGPL-3.0

PixelForge MCP

PixelForge MCP

An MCP server for AI-powered image generation, editing, analysis, and transformation using Google's Gemini and Imagen 4 models.

Features

  • 21 MCP tools for image generation, editing, analysis, transformation, and more
  • 6 models including Gemini image models and Imagen 4 family
  • Quality presets (fast/balanced/quality) for simplified model selection
  • Parallel multi-image generation via asyncio.gather
  • Image transforms — crop, resize, rotate, flip, blur, sharpen, grayscale, watermark
  • Prompt template library — 24 curated templates across 10 categories
  • Generation history — full audit trail with search and pagination
  • Batch processing — generate up to 10 images in parallel
  • Optional Vertex AI — upscaling (x2/x4) and advanced editing modes
  • Thinking mode & grounding — extended reasoning and Google Search for analysis
  • 14 aspect ratios (including panoramic) and temperature control
  • Async-first architecture with full Pydantic validation
  • EXIF metadata embedding (prompt, model, timestamp)

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

Cursor

Add to .cursor/mcp.json:

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

VS Code

code --add-mcp '{"name":"pixelforge","command":"pixelforge-mcp","env":{"GOOGLE_API_KEY":"your-key"}}'

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

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

Kiro

kiro-cli mcp add --name pixelforge --scope global --command pixelforge-mcp --env "GOOGLE_API_KEY=your-key"

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 — all 21 tools are available automatically.

Available Tools

Generation

Tool Description
generate_image Generate images from text (6 models, 14 aspect ratios, quality presets, parallel multi-image)
edit_image Modify existing images with text prompts
remove_background Remove image background (transparent or white)
transform_image Crop, resize, rotate, flip, blur, sharpen, grayscale, or watermark
batch_generate Generate up to 10 images in parallel from multiple prompts

Analysis

Tool Description
analyze_image AI-powered image description with optional grounding
extract_text OCR — extract text with confidence levels
detect_objects Detect objects with bounding boxes
compare_images Compare 2-10 images for differences

Utility

Tool Description
optimize_prompt Enhance prompts for better image generation (14 styles)
estimate_cost Calculate generation costs per model/operation
list_templates Browse 24 curated prompt templates across 10 categories
apply_template Fill a template with your subject for a ready-to-use prompt
list_available_models Model capabilities, speed, quality, and selection guidance
get_server_info Server configuration and status

History

Tool Description
list_history Browse generation history with pagination and filtering
get_generation_details Get full details of a specific generation

Vertex AI (Optional)

Tool Description
upscale_image Upscale images x2 or x4 (requires Vertex AI)
advanced_edit Inpainting, outpainting, background swap, style transfer (requires Vertex AI)

Model Selection

PixelForge supports per-request model switching with 6 models:

Gemini Models (via Gemini API)

Use case Model Why
Fast iterations gemini-2.5-flash-image (default) Cheapest, lowest latency
Panoramic & grounded gemini-3.1-flash-image-preview 1:4/4:1/1:8/8:1, web+image grounding
Max text fidelity gemini-3-pro-image-preview ~94% accuracy, complex multi-turn edits

Imagen 4 Models (via Gemini API)

Use case Model Why
Cost-effective batch imagen-4.0-generate-001 $0.04/img, excellent quality
Cheapest generation imagen-4.0-fast-generate-001 $0.02/img, fastest
Maximum quality imagen-4.0-ultra-generate-001 $0.06/img, best output

Quality Presets

Instead of choosing a model manually, use quality presets:

generate_image(prompt="...", quality="fast")      # gemini-2.5-flash-image
generate_image(prompt="...", quality="balanced")   # gemini-3.1-flash-image-preview + 1K
generate_image(prompt="...", quality="quality")    # gemini-3-pro-image-preview + 2K

Vertex AI (Optional)

For advanced features like image upscaling and specialized editing modes:

  1. Set up a Google Cloud project with Vertex AI enabled
  2. Set the environment variable: GOOGLE_CLOUD_PROJECT=your-project-id
  3. Install the Vertex AI dependency: pip install pixelforge-mcp[vertex]

PixelForge auto-detects Vertex AI credentials and unlocks upscale_image and advanced_edit tools.

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
1:4 Tall panoramic*
4:1 Wide panoramic*
1:8 Extra tall panoramic*
8:1 Extra wide panoramic*

* Panoramic ratios require gemini-3.1-flash-image-preview model

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

Vertex AI features not available

Ensure GOOGLE_CLOUD_PROJECT is set and google-cloud-aiplatform is installed:

pip install pixelforge-mcp[vertex]

Documentation

Contributing

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

License

AGPL-3.0

Acknowledgments

Built with FastMCP, Pydantic, and google-genai.

Author

Ahmed Al-Eryani @ Tehnolabs


PixelForge MCP - Forging pixels with AI

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pixelforge_mcp-0.5.2.tar.gz (49.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pixelforge_mcp-0.5.2-py3-none-any.whl (49.7 kB view details)

Uploaded Python 3

File details

Details for the file pixelforge_mcp-0.5.2.tar.gz.

File metadata

  • Download URL: pixelforge_mcp-0.5.2.tar.gz
  • Upload date:
  • Size: 49.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pixelforge_mcp-0.5.2.tar.gz
Algorithm Hash digest
SHA256 62ffc9448b4a98a1aeda5860454dacf6cb2a9c47bb8a11788bad2d11cd3f67cb
MD5 2532425faf97ad54dbccc6fac22b8b92
BLAKE2b-256 11a46f3d1462083d12f443f1c3e0e1f328bbb2ba17b98981e67f0e660359a027

See more details on using hashes here.

File details

Details for the file pixelforge_mcp-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: pixelforge_mcp-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 49.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pixelforge_mcp-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5b310be8da1359a3ca50af8b22c6267da697f9ccd2878982cca409e4831532ee
MD5 150e1d35801a5e19196e8da26c420f77
BLAKE2b-256 428e40f607a25340cff8320c8f6e48bc30418f27d1275de75dc6cb70bba449e5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page