agileimagegen-mcp
Enables AI-powered image generation and editing using Google Gemini models, with support for transparency, reference images, and flexible output sizes.
README
agileimagegen-mcp
Thin MCP server for Gemini image generation and image editing using a Google AI Studio API key.
This project is designed for fast AI-assisted iteration. For repo-specific guidance, see AGENTS.md, PROJECT_STATE.md, and ARCHITECTURE.md.
What It Does
- Exposes exactly 2 MCP tools:
image.generateandimage.edit - Uses
@google/genaiwithGOOGLE_API_KEY - Runs as a local
stdioMCP server - Can also run from Docker with the same env contract
- Saves generated images to disk and returns structured metadata
- Supports reference-guided generation with anchor images
- Uses a shared transparency pipeline across generate and edit
Requirements
- Node.js 20+
- A Google AI Studio API key with access to Gemini image-capable models
Environment
Copy .env.example to .env and fill in your key:
GOOGLE_API_KEY=your-google-ai-studio-api-key
AGILEIMAGEGEN_DEFAULT_MODEL=gemini-2.5-flash-image
AGILEIMAGEGEN_OUTPUT_DIR=./output
AGILEIMAGEGEN_LOG_LEVEL=info
AGILEIMAGEGEN_SAVE_PROMPTS=false
Notes:
GOOGLE_API_KEYis required.AGILEIMAGEGEN_DEFAULT_MODELcan be overridden per tool call.AGILEIMAGEGEN_OUTPUT_DIRis where generated images are written by default..envis gitignored and should stay local.
Local Development
Install dependencies:
cmd /c npm install
Run in dev mode:
cmd /c npm run dev
Build:
cmd /c npm run build
Run the built server:
cmd /c npm start
Run tests:
cmd /c npm test
Run live smoke tests:
cmd /c npm run smoke:generate
cmd /c npm run smoke:edit
Docker
Build:
docker build -t agileimagegen-mcp .
Run:
docker run --rm -i --env-file .env -v "${PWD}/output:/app/output" agileimagegen-mcp
The container expects to run as a stdio MCP server, so use -i and wire it through your MCP client.
MCP Client Example
Example local stdio MCP config:
{
"mcpServers": {
"agileimagegen": {
"command": "node",
"args": ["C:/git/agileimagegen-mcp/dist/server.js"],
"cwd": "C:/git/agileimagegen-mcp",
"env": {
"GOOGLE_API_KEY": "your-key-here"
}
}
}
}
If you prefer .env, keep the cwd pointed at this repo so the server can load it locally.
Tools
image.generate
Input:
{
"prompt": "Arcade grime sewer cartoon logo",
"model": "gemini-2.5-flash-image",
"reference_image_paths": ["C:/temp/input/anchor-logo.png"],
"size": "square",
"background": "transparent",
"transparency_mode": "repair",
"transparency_threshold": "balanced",
"filename_hint": "sewer-logo",
"output_dir": "C:/temp/output"
}
Supported size inputs:
- preset:
square,landscape,portrait,widescreen - explicit:
WIDTHxHEIGHT - or
width+height
Transparency controls:
transparency_mode:off,validate, orrepairtransparency_threshold:balancedorstrict
Reference guidance:
reference_image_paths: optional local anchor images used to steerimage.generate- when present, generate requests are sent as multimodal requests instead of text-only prompts
Defaults:
background: "transparent"impliestransparency_mode: "repair"- otherwise transparency handling defaults to
off - transparent workflows prefer a chroma-key background color of
#01FF01, but can also accept good native alpha or infer and remove a different solid border color when the provider drifts image.editandimage.generateboth run through the same transparency validation/extraction pipeline
image.edit
Input:
{
"prompt": "Make this sign grimier and add a toxic green edge glow",
"input_image_paths": ["C:/temp/input/sign.png"],
"model": "gemini-2.5-flash-image",
"transparency_mode": "repair",
"transparency_threshold": "balanced",
"filename_hint": "sign-edit",
"output_dir": "C:/temp/output"
}
For image.edit, transparency repair runs by default when the prompt implies transparent or alpha output.
Tool Output Shape
Both tools return structured content in this shape:
{
"path": "C:/git/agileimagegen-mcp/output/123456-sewer-logo.png",
"mime_type": "image/png",
"model": "gemini-2.5-flash-image",
"provider": "google",
"prompt_summary": "Arcade grime sewer cartoon logo",
"warnings": [],
"width": 1024,
"height": 1024,
"transparency": {
"requested": true,
"mode": "repair",
"threshold": "balanced",
"source_mime_type": "image/jpeg",
"has_alpha": true,
"alpha_pixel_ratio": 0.44,
"fully_transparent_ratio": 0.39,
"opaque_border_ratio": 0.02,
"checkerboard_detected": false,
"key_color": "#01FF01",
"key_color_match_ratio": 0.91,
"background_mode": "keyed",
"repair_attempted": true,
"repair_succeeded": true,
"warnings": []
}
}
Design Notes
- Width, height, size, and transparent background are passed as prompt guidance because Gemini image-capable models may not honor them as hard output controls in all cases.
- When transparency is requested, the server uses a tiered strategy: accept usable native alpha first, otherwise prefer the requested
#01FF01chroma-key background, then fall back to inferring and removing a different solid border color. - Provider-native transparency is still validated before use; opaque outputs are converted to transparency only when the background is cleanly separable.
- Transparency diagnostics are returned to the caller so layered asset workflows can reason about confidence, repair attempts, and failure modes.
- Prompt specialization is intentionally out of scope for this repo. Project-specific prompt rules should live in the caller’s skill/workflow layer.
- Error messages are sanitized so normal failures do not leak raw API keys.
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