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
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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.