Image Generator MCP
Exposes generate_image for general image generation and hatch-pet specific workflows: canonical base generation, identity reference, multi-image input, layout guides, and single-action row chroma-key source images.
README
Image Generator MCP
A TypeScript MCP Server that exposes generate_image to Codex via stdio. Supports general image generation and hatch-pet specific workflows: canonical base generation, identity reference, multi-image input, layout guides, and single-action row chroma-key source images.
This service only calls image models, saves raw results, and performs basic validation. It does NOT handle matting, frame interpolation, sprite sheet assembly, frame slicing, mirroring, or atlas synthesis for hatch-pet.
Requirements
- Node.js 22+
- pnpm 11+
- OpenAI API Key
- System
curlwhen using third-party OpenAI-compatible endpoints
This project uses stable dependency versions tested during implementation: MCP Server 2.0.0, OpenAI Node SDK 7.1.0.
Installation & Build
cd /path/to/image-generator-mcp
pnpm install
pnpm run typecheck
pnpm test
pnpm run build
Never commit real secrets to .env, .env.example, Codex config, or source code. .env.example only lists variable names.
Environment Variables
Set these in the environment that launches Codex:
export OPENAI_API_KEY="your local key"
export IMAGE_MODEL="gpt-image-2"
The macOS GUI Codex typically does NOT inherit terminal environment variables. Set the GUI environment before launching Codex and fully restart Codex afterward:
launchctl setenv OPENAI_API_KEY "your local key"
launchctl setenv IMAGE_MODEL "gpt-image-2"
The key persists in the current login session. Clear it when done:
launchctl unsetenv OPENAI_API_KEY
Do NOT use codex mcp add --env OPENAI_API_KEY=... as this may save the value in Codex configuration. IMAGE_MODEL is not sensitive and may be configured via --env as needed.
Optional variables:
| Variable | Purpose |
|---|---|
IMAGE_MODEL |
Default model, falls back to gpt-image-2 if unset |
IMAGE_INPUT_ROOTS |
Additional absolute directories for reading reference images, comma-separated |
IMAGE_REQUEST_TIMEOUT_MS |
API request timeout in ms, default 120000, range 1000-600000 |
IMAGE_HTTP_TRANSPORT |
auto, fetch, or curl; default auto uses curl for third-party base URLs |
IMAGE_CONNECT_TIMEOUT_MS |
curl connection timeout in ms, default 30000, range 1000-120000 |
IMAGE_PROJECT_ROOT |
Project root directory, typically auto-detected |
The project directory is always an allowed input root. Additional paths must be pre-configured via IMAGE_INPUT_ROOTS; individual tool calls cannot inject arbitrary read directories.
Startup & Registration
Run directly from source:
cd /path/to/image-generator-mcp
pnpm start
Codex CLI 0.146.0-alpha.3.1 supports the following stdio registration format:
codex mcp add image-generator -- /path/to/node /path/to/image-generator-mcp/node_modules/tsx/dist/cli.mjs /path/to/image-generator-mcp/src/index.ts
If Node and pnpm are installed globally, register the build artifact instead:
cd /path/to/image-generator-mcp
pnpm run build
codex mcp add image-generator-dist -- node /path/to/image-generator-mcp/dist/src/index.js
After registration, fully quit and restart Codex before beginning new tasks. Verify registration:
codex mcp list
codex mcp get image-generator
Parameters
| Parameter | Required | Description |
|---|---|---|
prompt |
Yes | Authoritative generation prompt, max 40000 chars |
provider |
No | Currently only openai is allowed |
model |
No | Default from IMAGE_MODEL, otherwise gpt-image-2 |
size |
No | 1024x1024, 1536x1024, 1024x1536, auto |
quality |
No | low, medium, high, auto |
output_format |
No | png, webp, jpeg |
background |
No | opaque, transparent, chroma-key |
chroma_key_color |
Conditional | #RRGGBB; defaults to #00FF00 if omitted |
n |
No | 1-4; fixed to 1 for pet tasks |
output_name |
No | Filename stem only, no paths; existing files get -v2 suffix |
negative_prompt |
No | Merged into Avoid: paragraph when model has no native field |
provider_options |
No | OpenAI currently only allows moderation: auto|low |
input_images |
No | Array of reference images with path and explicit role, max 8 images |
task_type |
No | general, pet-base, pet-row |
identity_lock |
No | Identity features that must be preserved across hatch-pet states |
state_id |
pet-row required | One of 9 hatch-pet states |
expected_frame_count |
pet-row required | 2-16, validates only, does not auto-interpolate |
input_fidelity |
No | low / high when supported by the model |
Input image roles: identity-reference, canonical-base, layout-guide, style-reference, edit-target, supporting-reference.
Model Capabilities
The capability matrix is an explicit allowlist. Unknown models are never guessed or passthrough.
| Model | Text-to-image | Multi-reference edit | Native transparency | Chroma key | input_fidelity |
|---|---|---|---|---|---|
gpt-image-2 |
Yes | Yes | No | Yes | Not passed |
gpt-image-1.5 |
Yes | Yes | Yes | Yes | low/high |
gpt-image-1 |
Yes | Yes | Yes | Yes | low/high |
gpt-image-1-mini |
Yes | Yes | No | Yes | low/high |
chatgpt-image-latest |
Yes | Yes | Yes | Yes | low/high |
hatch-pet uses chroma-key source images by default, making gpt-image-2 the preferred choice. Callers should only select transparency-capable models when native transparency is explicitly needed. The service will never silently switch models, drop reference images, or ignore parameters.
General Usage Example
Ask Codex:
Use generate_image to create a large dog barking loudly, realistic photography style, landscape composition. size=1536x1024, quality=high, output_format=png, output_name=barking-dog.
Equivalent parameters:
{
"prompt": "Create a large dog barking loudly, realistic photography style, landscape composition.",
"size": "1536x1024",
"quality": "high",
"output_format": "png",
"output_name": "barking-dog"
}
Hatch-pet Canonical Base Example
{
"prompt": "Create one centered full-body tricolor beagle puppy desktop pet, faithful to the attached identity reference.",
"task_type": "pet-base",
"model": "gpt-image-2",
"size": "1024x1024",
"quality": "high",
"output_format": "png",
"background": "chroma-key",
"chroma_key_color": "#00FFFF",
"output_name": "beagle-base",
"identity_lock": "Keep the exact tricolor markings, broad white blaze, floppy ears, puppy body ratio, black sunglasses, and blue bone-shaped collar tag.",
"input_images": [
{
"path": "/absolute/project/reference-beagle.png",
"role": "identity-reference"
}
]
}
Hatch-pet Single Action Row Example
Generate only one state at a time. canonical-base is required; layout guides are used only for frame positioning and spacing.
{
"prompt": "Create a six-frame idle animation row for the same pet. Use subtle breathing, blinking, and a tiny head bob.",
"task_type": "pet-row",
"state_id": "idle",
"expected_frame_count": 6,
"model": "gpt-image-2",
"size": "1536x1024",
"quality": "high",
"output_format": "png",
"background": "chroma-key",
"chroma_key_color": "#00FFFF",
"output_name": "beagle-idle",
"identity_lock": "Preserve the canonical base face, markings, proportions, glasses, tag, material, and silhouette.",
"input_images": [
{
"path": "/absolute/run/references/canonical-base.png",
"role": "canonical-base"
},
{
"path": "/absolute/run/references/layout-guides/idle.png",
"role": "layout-guide"
}
]
}
Return text first line is compatible with hatch-pet worker:
selected_source=/absolute/project/output/imagegen/beagle-idle.png
qa_note=File decoded and passed basic format, dimension, and background checks; character identity and action semantics still require visual acceptance.
Structured result includes model, parameters, prompt hash, input image hashes, output dimensions, file hash, and validation warnings.
Security Boundaries
- Reference images must use absolute paths within the project or pre-configured root directories.
- Paths checked via
realpath, blocks..and symlink escapes. - Validates file header, MIME type, decodeability, file size, and pixel count.
provider_optionsis a strict allowlist; URLs, headers, tokens, proxies, or local paths cannot be passed.- Output can only write to
output/imagegen/, using same-directory temp files and atomic hard links. - Never overwrites existing images; automatically generates
-v2,-v3suffixes. - Logs never include secrets, base64, full prompts, or reference image binary data.
curltransport passes auth headers via separate stdin; keys never appear in process arguments.- MCP cancellation signals are forwarded to the OpenAI SDK.
- Original images are preserved on validation failure with warnings; no automatic retouching or frame forgery.
Testing
Tests do NOT require an API Key; Provider requests are mocked. Run:
pnpm run typecheck
pnpm test
pnpm run build
pnpm run smoke:mcp
For development, directly verify the latest TypeScript source:
MCP_SMOKE_SOURCE=1 pnpm exec tsx scripts/mcp-smoke.ts
Coverage includes parameter validation, output naming, prompt merging, capability rejection, reference image ordering, path and symlink escape tests, OpenAI generations/edits mapping, corrupted images, chroma-key corner detection, action area estimation, versioned filenames, and the pet-base -> canonical-base -> idle row integration chain.
Live API testing is excluded from the default suite and will not accidentally incur charges during CI or local development.
Troubleshooting
OPENAI_API_KEY_MISSING: The key isn't reaching the MCP process. Set the environment variable where Codex launches and fully restart Codex.
INPUT_PATH_FORBIDDEN: Reference image is outside the project directory. Copy the image into the project, or add precise read-only root directories via IMAGE_INPUT_ROOTS before launching Codex.
BACKGROUND_UNSUPPORTED: The selected model doesn't support native transparency. Explicitly switch to a transparency-capable model, or use chroma-key; the service will not auto-downgrade.
CANONICAL_BASE_REQUIRED: Action row is missing canonical base reference. Complete pet-base first and use the result as canonical-base.
validation.status=failed: The file is still saved. Check warnings and perform visual acceptance; do not treat basic area estimation as final identity or motion review.
Network, 429, or 5xx: Failed results are marked retryable=true. Retry the current single visual task after checking network and account limits.
OPENAI_CONNECTION_ERROR or OPENAI_CONNECTION_TIMEOUT: Check the Base URL first. Third-party OpenAI-compatible gateways automatically use curl transport; you can also explicitly set IMAGE_HTTP_TRANSPORT=curl. Official https://api.openai.com/v1 continues using Node fetch by default.
Adding New Providers
- Implement
ImageProvider. - Define explicit capability matrices for each model.
- Register the provider and service endpoints in static configuration.
- Add tests for request mapping, unsupported parameters, empty responses, and sanitized errors.
- Never allow arbitrary base URLs, headers, workflow paths, or local service addresses per-call.
ComfyUI should use admin-preconfigured named endpoints and workflow templates; arbitrary URLs or workflow files must NOT be exposed as tool parameters.
Official Resources
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