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j-east/pixel-surgeon-mcp

by Various

MCP server for AI image generation via Google Gemini Flash Image. Style presets, interactive fix, multi-shot region repair.

MCP

j-east/pixel-surgeon-mcp

Added 7 June 2026

Overview

A Model Context Protocol server that enables AI image generation through Google Gemini Flash Image. It provides style presets, interactive fix capabilities, and multi-shot region repair for iterative image editing.

Best for

Best for
Developers building MCP-based tools that need quick, iterative image generation and repair with Gemini Flash.

Use cases

  • Generate images with predefined style presets via Gemini Flash
  • Perform interactive fixes on specific image regions
  • Apply multi-shot region repair for detailed image corrections

How to use

Install

npx pixel-surgeon-mcp

Tools exposed

  • generate_image
  • generate_images
  • generate_video
  • edit_image
  • fix_image
  • fix_region
  • interactive_fix
  • list_images
  • save_image
  • remove_background
  • gpt-image-2
  • gpt-image-1
  • grok-imagine

Tested with

Claude Desktop, Claude Code, ChatGPT

Notes

A Model Context Protocol server that enables AI image generation through Google Gemini Flash Image. It provides style presets, interactive fix capabilities, and multi-shot region repair for iterative image editing.

4 stars on GitHub. Last updated 2026-06-04. Licensed MIT.

Use cases

  • Generate images with predefined style presets via Gemini Flash
  • Perform interactive fixes on specific image regions
  • Apply multi-shot region repair for detailed image corrections

Pros

  • Leverages Gemini Flash for fast image generation
  • Supports targeted region repair without full regeneration
  • Integrates with MCP-compatible clients for workflow automation

Cons

  • Requires a Google Gemini API key and internet access
  • Limited to Gemini Flash model capabilities and constraints
  • No support for other image generation models or providers

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages Gemini Flash for fast image generation
  • Supports targeted region repair without full regeneration
  • Integrates with MCP-compatible clients for workflow automation

Cons

  • Requires a Google Gemini API key and internet access
  • Limited to Gemini Flash model capabilities and constraints
  • No support for other image generation models or providers
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