MCP server for AI image generation via OpenAI, Stable Diffusion (SD WebUI), or placeholders.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"image-gen": {
"env": {
"IMAGE_GENERATION_MCP_READ_ONLY": "false",
"IMAGE_GENERATION_MCP_OPENAI_API_KEY": "sk-..."
},
"args": [
"serve"
],
"command": "image-generation-mcp"
}
}
}Are you the author?
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MCP server for AI image generation via OpenAI, Stable Diffusion (SD WebUI), or placeholders.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'image-generation-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked image-generation-mcp against OSV.dev.
Click any tool to inspect its schema.
imageCDN-style image transforms - resize, re-encode, crop on demand without re-generating
image://{id}/view?format={format}&width={width}&height={height}&crop_x={crop_x}&crop_y={crop_y}
image-listBrowse generated images and recent generations in the gallery
image://list
app-galleryInteractive MCP Apps gallery and viewer for browsing and editing generated images
app://gallery
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Multi-provider image generation MCP server built on FastMCP. Generate images from Claude Desktop, Claude Code, or any MCP client using OpenAI, Google Gemini, Stable Diffusion (SD WebUI), or a zero-cost placeholder provider.
Documentation | PyPI | Docker
gpt-image-1.5, gpt-image-1, dall-e-3), Google Gemini (gemini-2.5-flash-image, gemini-3.x previews), SD WebUI (Stable Diffusion / Forge / reForge), and a zero-cost placeholder for testing.style_profile (strengths, prompt grammar, lifecycle); list_providers includes a top-level warnings array for deprecated models. See Model Catalog.provider="auto" routes by prompt content (text/logo → OpenAI, photoreal/anime → SD WebUI, draft → placeholder).image://{id}/view?format=webp&width=512&crop_x=... resizes / re-encodes / crops on demand without re-generating.task=True (poll for status); short OpenAI calls stream progress in the foreground.app: resources..deb/.rpm with hardened systemd, OIDC + bearer auth, persistent EventStore for HTTP session resumability.With this server mounted in an MCP client, you can ask:
gpt-image-1.5 for typography-aware photorealism.generate_image with provider="sd_webui" and a stylised checkpoint like dreamshaperXL.image://{id}/view?width=512&height=512&crop_x=... resource transforms.image://list resource and the MCP Apps gallery viewer.