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MCP server · AI

Pixelforge MCP

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

Unclaimed Custom license last commit 6 months ago mcpmcp-serverpixe
56Fair

Scored 7 days ago · breakdown

About Pixelforge MCP

Pixelforge MCP is an MCP server published by Tehnolabs in the AI category: aI-powered image generation, editing, and analysis MCP server using Google's Gemini models.

The repository has 2 stars and 0 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/Tehnolabs/pixelforge-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

batch_generateGenerate up to 10 images in parallel from multiple prompts

Parameters not published.

edit_imageModify existing images with text prompts

Parameters not published.

generate_imageGenerate images from text (6 models, 14 aspect ratios, quality presets, parallel multi-image)

Parameters not published.

remove_backgroundRemove image background (transparent or white)

Parameters not published.

transform_imageCrop, resize, rotate, flip, blur, sharpen, grayscale, or watermark

Parameters not published.

Ask AI

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Ask AI about Pixelforge MCP

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I know everything about Pixelforge MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 5 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.5.4v0.5.4 · 29 Mar 2026Bug Fixes Fix Pyright type errors in Pydantic config models Fixed Pyright type checking errors across all config models (`ImagenConfig`, `StorageConfig`, `ServerConfig`, `VertexConfig`, `Config`) by following [Pydantic's official Pyright…
v0.5.3v0.5.3 · 29 Mar 2026Bug Fixes Revert person_generation auto-routing to warn-only (#15) The problem: v0.5.1's smart auto-routing silently swapped Gemini models for Imagen when `person_generation` was set. This degraded quality — especially text rendering for…
v0.5.2v0.5.2 · 29 Mar 2026Bug Fixes Fix genai Image → Pillow conversion in Imagen save paths The problem: All Imagen 4 generation paths (`generate_image` with Imagen model, `upscale_image`, `advanced_edit`) failed with `"Image.save() got an unexpected keyword…
v0.5.1v0.5.1 · 29 Mar 2026Bug Fixes `person_generation` smart auto-routing to Imagen models (#14, closes #13) The problem: `person_generation` parameter (`allow`, `adults_only`, `block`) failed with `"person_generation parameter is not supported in Gemini API"`…
v0.5.0v0.5.0 · 22 Mar 2026What's Changed feat: v0.5.0 — full roadmap execution, SDK migration, FastMCP 3.x, 21 tools by @Ahmed-aleryani in https://github.com/Tehnolabs/pixelforge-mcp/pull/12 Full Changelog:…

README

PyPI version Python versions

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

README fetched from the repository 5 hours ago. The original is authoritative.

Questions

About Pixelforge MCP

How do I install Pixelforge MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pixelforge MCP safe to use with an AI agent?

Its trust score is 56 out of 100 (fair). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pixelforge MCP still maintained?

The last commit was 6 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.