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MCP Tools

image-generation-mcp exposes four domain tools plus two auto-generated resource-bridge tools to MCP clients.

generate_image

Generate an image from a text prompt. Returns immediately with a status: "generating" response while the image is generated in the background. Call show_image with the returned image_id to check progress and display the result. Read info://prompt-guide for provider-specific prompt writing tips.

Property Value
Tags write (hidden in read-only mode)
Annotations readOnlyHint: false, destructiveHint: false, openWorldHint: true
Task task=True (retained for forward compatibility; no longer blocks)
Pattern Fire-and-forget — returns in <1s, client polls show_image

Parameters

Parameter Type Default Description
prompt str (required) Text description of the desired image
provider str "auto" Provider name (openai, sd_webui, placeholder) or "auto" for keyword-based selection
negative_prompt str null Things to avoid in the image. Native support on SD WebUI (SD 1.5/SDXL only — Flux models do NOT support negative prompts); appended as "Avoid:" on OpenAI.
aspect_ratio str "1:1" Desired ratio: 1:1, 16:9, 9:16, 3:2, 2:3
quality str "standard" Quality level: standard or hd
background str "opaque" Background mode: opaque or transparent. Supported by OpenAI (gpt-image-1) and Placeholder. SD WebUI ignores this parameter.
model str null Specific model to use (e.g., an SD WebUI checkpoint name or "dall-e-3" for OpenAI). Overrides the provider's default. Use list_providers to see available model IDs.

Return value

Returns immediately with a ToolResult containing:

  1. TextContent -- JSON metadata with status: "generating":
  2. ResourceLink -- URI reference to image://{id}/view (image pending)
{
  "status": "generating",
  "image_id": "a1b2c3d4e5f6",
  "prompt": "watercolor painting of a mountain landscape at sunset",
  "provider": "openai",
  "prompt_style": null,
  "original_uri": "image://a1b2c3d4e5f6/view",
  "metadata_uri": "image://a1b2c3d4e5f6/metadata",
  "resource_template": "image://a1b2c3d4e5f6/view{?format,width,height,quality}"
}

Call show_image with the original_uri to poll for completion and display the image once ready.

Fire-and-forget workflow

The tool uses a fire-and-forget pattern to avoid client tool-execution timeouts (~45s on Claude.ai/Desktop/Android):

  1. generate_image returns in <1s with "status": "generating" and a pre-allocated image_id
  2. Background task generates the image and registers it in the scratch directory
  3. show_image polls for status:
    • {"status": "generating", "progress": 0.3, "progress_message": "Step 9/30 (ETA 12s)", ...} -- still in progress (SD WebUI reports step-level detail; other providers report 0.0 until complete)
    • {"status": "failed", "error": "..."} -- generation failed
    • Image thumbnail + metadata -- generation complete

The image://list resource also includes pending generations with their status.

Cost confirmation (elicitation)

When all of these conditions are met, generate_image asks the user to confirm before calling the provider:

  1. The resolved provider is in IMAGE_GENERATION_MCP_PAID_PROVIDERS (default: "openai")
  2. The MCP client supports elicitation (advertised via ClientCapabilities.elicitation)

If the user declines or cancels, the tool returns a cancellation message without making the API call. If the client does not support elicitation, generation proceeds without confirmation (current behavior preserved).

Elicitation client support

Elicitation was added in the MCP spec 2025-06-18 revision. As of this writing, few clients support it. The confirmation is a progressive enhancement — it activates automatically on capable clients and is invisible on others.

Example

User: Generate a watercolor painting of a mountain landscape at sunset

Tool call: generate_image
  prompt: "watercolor painting of a mountain landscape at sunset,
           warm colors, dramatic sky"
  aspect_ratio: "16:9"
  quality: "hd"

show_image

Display a registered image with optional on-demand transforms, or poll for generation status. Accepts a full image:// resource URI with transforms encoded in the query string.

Also serves as the polling endpoint for fire-and-forget generation: after calling generate_image, call show_image with the returned image_id to check progress and display the result once ready.

Property Value
Tags (none) -- always visible (read-only operation)
Annotations readOnlyHint: true, destructiveHint: false, openWorldHint: false
Task No
MCP App ui://image-viewer/view.html (interactive viewer in supported clients)

Parameters

Parameter Type Default Description
uri str (required) Full image:// resource URI (e.g., image://a1b2c3/view?format=webp&width=512)
with_link bool true When true, include a one-time download_url in the metadata if the server is running on HTTP transport with BASE_URL configured.

Transforms are encoded in the URI query string using the same parameters as the image://{id}/view resource template: format, width, height, quality.

Return value

Returns a ToolResult with:

  1. ImageContent -- a WebP thumbnail preview (max 512px, always under 1 MB) for inline display in MCP clients. This is always WebP regardless of the requested format.
  2. TextContent -- JSON metadata with the full-resolution details:
{
  "image_id": "a1b2c3d4e5f6",
  "prompt": "watercolor painting of a mountain landscape at sunset",
  "provider": "openai",
  "model": "gpt-image-1",
  "prompt_style": null,
  "dimensions": [1024, 683],
  "thumbnail_dimensions": [512, 342],
  "original_size_bytes": 3145728,
  "format": "image/png",
  "transforms_applied": {},
  "download_url": "https://mcp.example.com/artifacts/7f3a...e9b1"
}

The model field contains the specific model used by the provider (e.g., "gpt-image-1", "dreamshaper_xl"), or null if the provider does not report a model name.

The download_url field is only present when with_link is true (default) and the server is running on HTTP transport with IMAGE_GENERATION_MCP_BASE_URL configured. The link is a one-time download URL (5-minute TTL) — see create_download_link for details. The MCP App widget cannot open this URL from its sandboxed iframe, so LLMs should present it directly to the user as a clickable link in the conversation text.

The dimensions field reports the actual image size (or the transformed size if transforms were requested). The thumbnail_dimensions field reports the size of the inline preview, which is capped at 512px. When dimensions and thumbnail_dimensions differ, the inline preview is a downscaled version — use the image:// resource URI or create_download_link for full resolution.

Examples

# Show the original image
show_image(uri="image://a1b2c3d4e5f6/view")

# Show resized to 512px wide as WebP
show_image(uri="image://a1b2c3d4e5f6/view?format=webp&width=512")

# Show center-cropped to 256x256
show_image(uri="image://a1b2c3d4e5f6/view?width=256&height=256")

list_providers

List available image generation providers and their status.

Property Value
Tags (none) -- always visible
Annotations readOnlyHint: true, destructiveHint: false, openWorldHint: true, idempotentHint: false
Task No

Parameters

Parameter Type Default Description
force_refresh bool false When true, re-runs capability discovery on all providers before returning. Use when providers may have changed (e.g., new SD WebUI checkpoints loaded).

Return value

JSON object with a refreshed_at ISO 8601 timestamp and provider names, availability, and capability information:

{
  "refreshed_at": "2024-03-18T12:00:00+00:00",
  "providers": {
    "placeholder": {
      "available": true,
      "description": "Zero-cost solid-color PNG — instant, no API key, for testing and drafts",
      "capabilities": {
        "provider_name": "placeholder",
        "models": [
          {
            "model_id": "placeholder",
            "display_name": "Placeholder (solid-color PNG)",
            "can_generate": true,
            "can_edit": false,
            "supports_mask": false,
            "supported_aspect_ratios": ["1:1", "16:9", "9:16", "3:2", "2:3"],
            "supported_qualities": ["standard"],
            "supported_formats": ["png"],
            "supports_negative_prompt": false,
            "supports_background": true,
            "max_resolution": 640,
            "default_steps": null,
            "default_cfg": null,
            "prompt_style": null
          }
        ],
        "supports_background": true,
        "supports_negative_prompt": false,
        "discovered_at": 1710777600.0,
        "degraded": false
      }
    },
    "openai": {
      "available": true,
      "description": "OpenAI (gpt-image-1 / dall-e-3) — best for text, logos, and general-purpose generation",
      "capabilities": {
        "provider_name": "openai",
        "models": [
          {
            "model_id": "gpt-image-1",
            "display_name": "GPT Image 1",
            "can_generate": true,
            "can_edit": true,
            "supports_mask": true,
            "supported_aspect_ratios": ["1:1", "16:9", "9:16", "3:2", "2:3"],
            "supported_qualities": ["standard", "hd"],
            "supported_formats": ["png", "jpeg", "webp"],
            "supports_negative_prompt": false,
            "supports_background": true,
            "max_resolution": 1536,
            "default_steps": null,
            "default_cfg": null,
            "prompt_style": null
          }
        ],
        "supports_background": true,
        "supports_negative_prompt": false,
        "discovered_at": 1710777600.0,
        "degraded": false
      }
    }
  }
}

The response is wrapped in an object with refreshed_at (ISO 8601 timestamp of when the data was produced) and providers (the provider map). Only registered (configured) providers appear in the response. The capabilities key is present after startup discovery completes. Degraded providers (where capability discovery failed) show "degraded": true with an empty model list.

The prompt_style field on each model indicates the recommended prompt format: "clip" for SD 1.5/SDXL checkpoints (tag-based), "natural_language" for Flux checkpoints, and null for providers that do not set a preference (OpenAI, Placeholder).

Example

User: Which image providers are available?

Tool call: list_providers

User: I just loaded a new checkpoint, refresh the list

Tool call: list_providers
  force_refresh: true

list_resources / read_resource (auto-generated)

These tools are automatically generated by the ResourcesAsTools transform. They bridge the gap for MCP clients that only support tools (e.g. Claude webchat) and cannot access resources directly.

Tool Description
list_resources Returns JSON describing all available resources and templates
read_resource Reads a specific resource by URI

Usage

Tool call: list_resources
  → returns JSON array of all image:// and info:// resources

Tool call: read_resource
  uri: "image://a1b2c3d4e5f6/view"
  → returns the full-resolution image

Tool call: read_resource
  uri: "image://a1b2c3d4e5f6/metadata"
  → returns generation metadata JSON

Tool call: read_resource
  uri: "image://list"
  → returns JSON array of all generated images

These tools provide access to the same resources documented in Resources, including on-the-fly image transforms via URI template parameters.


Create a one-time-use HTTP download URL for an image. Enables server-to-server image transfer between MCP servers (e.g., saving an image to a vault, attaching to email).

Property Value
Tags (none)
Annotations readOnlyHint: true, destructiveHint: false, openWorldHint: false
Task No
Transport HTTP/SSE only (hidden on stdio — no HTTP server available)
Requires IMAGE_GENERATION_MCP_BASE_URL

Parameters

Parameter Type Default Description
uri str (required) Full image:// resource URI (e.g., image://a1b2c3/view?format=webp&width=512)
ttl_seconds int 300 Link lifetime in seconds (default 5 minutes)

Return value

{
  "download_url": "https://mcp.example.com/artifacts/7f3a...e9b1",
  "expires_in_seconds": 300,
  "uri": "image://a1b2c3d4e5f6/view?format=webp&width=512"
}

The download URL: - Serves the image once with correct Content-Type, then invalidates the link - Returns HTTP 404 after first download or after TTL expires - Does not require bearer token or OIDC auth (the random token is the auth) - The artifact endpoint bypasses MCP authentication

Example workflow

User: Generate a photo and save it to my vault

1. generate_image(prompt="sunset photo") → image_id: "a1b2c3..."
2. create_download_link(uri="image://a1b2c3/view?format=jpeg")
   → download_url: "https://mcp.example.com/artifacts/7f3a..."
3. vault-mcp: save_artifact_from_url(url="https://...", path="photos/sunset.jpg")

MCP Apps: Image Viewer

Clients that support MCP Apps (Claude Desktop, claude.ai) render an interactive image viewer alongside show_image results.

The viewer is a custom HTML resource at ui://image-viewer/view.html that:

  • Listens for show_image tool results via the @modelcontextprotocol/ext-apps SDK
  • Displays the image with metadata (prompt, provider, model name, dimensions, file size)
  • Supports light and dark color schemes

No configuration is needed — the viewer activates automatically on MCP Apps-capable clients. Clients without Apps support see the standard base64 image + metadata response.