image-generation-mcp 1.0.0

FastMCP server template — replace this with your description

image-generation-mcp

Multi-provider image generation MCP server built on FastMCP. Generate images from Claude Desktop, Claude Code, or any MCP client using OpenAI, Stable Diffusion (A1111 WebUI), or a zero-cost placeholder provider.

Documentation | PyPI | Docker

Features

• Multi-provider architecture -- OpenAI (gpt-image-1, dall-e-3), A1111 (Stable Diffusion WebUI), and a zero-cost placeholder provider
• Keyword-based auto-selection -- automatically picks the best provider for your prompt (text/logo -> OpenAI, photorealism/anime -> A1111, test/draft -> placeholder)
• MCP tools -- generate_image (with background task support) and list_providers
• MCP resources -- info://providers, image://{id}/view with CDN-style transforms (format, resize, crop), image://{id}/metadata, image://list
• MCP prompts -- select_provider (provider selection guidance) and sd_prompt_guide (CLIP tag format, negative prompts, BREAK syntax)
• Image asset model -- content-addressed image registry with sidecar JSON metadata, thumbnail previews, and resource URI-based transforms
• Background tasks -- hybrid foreground (streaming progress) and background (polling) execution via task=True
• Read-only mode -- write tools hidden via mcp.disable(tags={"write"}) for safe read-only deployments
• Authentication -- bearer token, OIDC (OAuth 2.1), and multi-auth (both simultaneously)
• Docker -- multi-arch image with gosu privilege dropping, configurable PUID/PGID
• CI/CD -- test matrix (Python 3.11-3.14), ruff, mypy, pip-audit, gitleaks, CodeQL, semantic-release

Installation

From PyPI

# Core + MCP server
pip install image-generation-mcp[mcp]

# With OpenAI provider
pip install image-generation-mcp[all]

Available extras:

Extra	Includes
mcp	fastmcp[tasks]>=3.0,<4
openai	openai>=1.0
all	fastmcp[tasks]>=3.0,<4 + openai>=1.0
dev	All above + pytest, ruff, mypy, pip-audit
docs	mkdocs-material, mkdocstrings, mkdocs-llmstxt

From source

git clone https://github.com/pvliesdonk/image-generation-mcp.git
cd image-generation-mcp
uv sync --extra all --extra dev

Docker

docker pull ghcr.io/pvliesdonk/image-generation-mcp:latest

Quick start

As MCP server (stdio)

# Placeholder only -- no API keys needed
IMAGE_GENERATION_MCP_READ_ONLY=false image-generation-mcp serve

# Generate your first image -- ask Claude or call via MCP client:
#   generate_image(prompt="a sunset over the ocean", provider="placeholder")

# With OpenAI
IMAGE_GENERATION_MCP_READ_ONLY=false \
IMAGE_GENERATION_MCP_OPENAI_API_KEY=sk-... \
image-generation-mcp serve

As MCP server (HTTP)

IMAGE_GENERATION_MCP_READ_ONLY=false \
image-generation-mcp serve --transport http --port 8000

With Docker Compose

docker compose up -d

See Docker deployment for volumes, UID/GID, and Traefik setup.

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "image-gen": {
      "command": "image-generation-mcp",
      "args": ["serve"],
      "env": {
        "IMAGE_GENERATION_MCP_READ_ONLY": "false",
        "IMAGE_GENERATION_MCP_OPENAI_API_KEY": "sk-..."
      }
    }
  }
}

Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "image-gen": {
      "command": "image-generation-mcp",
      "args": ["serve"],
      "env": {
        "IMAGE_GENERATION_MCP_READ_ONLY": "false"
      }
    }
  }
}

Configuration

All environment variables use the IMAGE_GENERATION_MCP_ prefix.

Core

Variable	Type	Default	Description
IMAGE_GENERATION_MCP_SCRATCH_DIR	Path	~/.image-generation-mcp/images/	Directory for saved generated images
IMAGE_GENERATION_MCP_READ_ONLY	bool	true	Hide write-tagged tools (generate_image)
IMAGE_GENERATION_MCP_DEFAULT_PROVIDER	str	auto	Default provider: auto, openai, a1111, placeholder

Providers

Variable	Type	Default	Description
IMAGE_GENERATION_MCP_OPENAI_API_KEY	str	--	OpenAI API key; enables OpenAI provider when set
IMAGE_GENERATION_MCP_A1111_HOST	str	--	A1111 WebUI URL (e.g. http://localhost:7860); enables A1111 provider when set
IMAGE_GENERATION_MCP_A1111_MODEL	str	--	A1111 checkpoint name for preset detection and override

Authentication

Variable	Type	Default	Description
IMAGE_GENERATION_MCP_BEARER_TOKEN	str	--	Static bearer token; enables bearer auth when set
IMAGE_GENERATION_MCP_BASE_URL	str	--	Public base URL for OIDC (e.g. https://mcp.example.com)
IMAGE_GENERATION_MCP_OIDC_CONFIG_URL	str	--	OIDC discovery endpoint URL
IMAGE_GENERATION_MCP_OIDC_CLIENT_ID	str	--	OIDC client ID
IMAGE_GENERATION_MCP_OIDC_CLIENT_SECRET	str	--	OIDC client secret
IMAGE_GENERATION_MCP_OIDC_JWT_SIGNING_KEY	str	ephemeral	JWT signing key; required on Linux/Docker
IMAGE_GENERATION_MCP_OIDC_AUDIENCE	str	--	Expected JWT audience claim
IMAGE_GENERATION_MCP_OIDC_REQUIRED_SCOPES	str	openid	Comma-separated required scopes
IMAGE_GENERATION_MCP_OIDC_VERIFY_ACCESS_TOKEN	bool	false	Verify access token as JWT instead of id token

Server

Variable	Type	Default	Description
IMAGE_GENERATION_MCP_SERVER_NAME	str	image-generation-mcp	Server name shown to MCP clients
IMAGE_GENERATION_MCP_INSTRUCTIONS	str	(dynamic)	System instructions for LLM context
IMAGE_GENERATION_MCP_LOG_LEVEL	str	INFO	Log level: DEBUG, INFO, WARNING, ERROR
IMAGE_GENERATION_MCP_HTTP_PATH	str	/mcp	HTTP endpoint mount path

CLI reference

image-generation-mcp serve [OPTIONS]

Flag	Default	Description
--transport	stdio	MCP transport: stdio, sse, or http (streamable-http)
--host	0.0.0.0	Host to bind to (HTTP transport only)
--port	8000	Port to listen on (HTTP transport only)
--path	/mcp	HTTP endpoint mount path (HTTP transport only)
-v, --verbose	--	Enable debug logging

MCP tools

Tool	Tags	Task	Parameters	Description
generate_image	write	task=True	prompt (str), provider (str, default "auto"), negative_prompt (str, optional), aspect_ratio (str, default "1:1"), quality (str, default "standard")	Generate an image, returns thumbnail preview + resource URIs
list_providers	--	--	(none)	List available providers with availability info

generate_image returns a thumbnail (~256px WebP) as ImageContent plus JSON metadata as TextContent with image_id, original_uri, resource_template, sizes, provider, and file path.

Supported aspect ratios: 1:1, 16:9, 9:16, 3:2, 2:3. Supported quality levels: standard, hd.

MCP resources

URI	MIME Type	Description
info://providers	application/json	Provider capabilities and supported features
image://{id}/view{?format,width,height,quality}	varies	Image with optional transforms (format conversion, resize, crop)
image://{id}/metadata	application/json	Sidecar JSON with generation provenance
image://list	application/json	All registered images

The image://{id}/view resource template supports CDN-style transforms:

• No parameters -- original bytes unchanged
• format -- convert to png, webp, or jpeg
• width + height -- center-crop to exact dimensions
• width only or height only -- proportional resize
• quality -- compression quality for lossy formats (default 90)

MCP prompts

Prompt	Parameters	Description
select_provider	(none)	Provider selection guidance -- strengths, use cases, and selection rules for each provider
sd_prompt_guide	(none)	Stable Diffusion prompt writing guide -- CLIP tag format, quality tags, negative prompts, BREAK syntax, aspect ratios

Providers

Provider	Best for	Requires
OpenAI	Text, logos, typography, general-purpose	IMAGE_GENERATION_MCP_OPENAI_API_KEY
A1111	Photorealism, portraits, anime, artistic styles	Running A1111 WebUI + IMAGE_GENERATION_MCP_A1111_HOST
Placeholder	Testing, drafts, CI	Nothing (always available)

OpenAI

Best for text rendering, logos, typography, and general-purpose generation.

• Models: gpt-image-1 (default), dall-e-3
• Formats: PNG (all models), JPEG and WebP (gpt-image-1 only)
• Quality levels: standard (mapped to high for gpt-image-1), hd (mapped to high)
• Negative prompt: Appended as "Avoid: {negative_prompt}" to the prompt
• Requires: IMAGE_GENERATION_MCP_OPENAI_API_KEY

A1111 (Stable Diffusion WebUI)

Best for photorealism, portraits, anime, and artistic styles.

• API: HTTP POST to /sdapi/v1/txt2img
• Model presets: Auto-detected from checkpoint name:
  • SD 1.5 (default): 768px base, 30 steps, CFG 7.0, DPM++ 2M Karras
  • SDXL: 1024px base, 35 steps, CFG 7.5, DPM++ 2M Karras
  • SDXL Lightning/Turbo: 1024px base, 6 steps, CFG 2.0, DPM++ SDE Karras
• Negative prompt: Native support via negative_prompt field
• Checkpoint override: Specify model to override sd_model_checkpoint
• Timeout: 180s (SDXL at high res on consumer GPUs)
• Requires: IMAGE_GENERATION_MCP_A1111_HOST

Placeholder

Zero-cost solid-color PNG generation for testing and drafts.

• No dependencies: Pure Python PNG encoder (zlib + struct)
• Color: Deterministic from MD5 hash of prompt
• Always available -- no API key or service needed

Authentication

The server supports four auth modes:

1. Multi-auth -- both bearer token and OIDC configured; either credential accepted
2. Bearer token -- set IMAGE_GENERATION_MCP_BEARER_TOKEN
3. OIDC -- full OAuth 2.1 flow via OIDC environment variables
4. No auth -- default; server accepts all connections

Auth requires --transport http (or sse). It has no effect with --transport stdio.

See Authentication guide for setup details.

Development

git clone https://github.com/pvliesdonk/image-generation-mcp.git
cd image-generation-mcp
uv sync --extra all --extra dev
uv run pytest
uv run ruff check src/ tests/
uv run mypy src/

License

MIT