Tools, prompts, and resources

The MCP server advertises live schemas via tools/list, prompts/list, and resources/list on connect, so your client always sees authoritative parameter shapes. The tables below summarize what's exposed so you know what to look for and which REST recipe each tool maps to.

Tools

Image generation

Tool	Purpose
generate_image	Text-to-image and image-edit. Engines: sdcpp, seedream, flux1-kontext, openai, gemini, grok, google, wan. Returns a resource link to each generated blob.
upscale_image	Repeated 2× upscale (1–3 passes → up to 8×).
convert_image	Format conversion (jpeg / png / webp / gif) with optional resize.

Behavior maps directly to the image recipes — see Flux 2, SDXL, Image upscaling, and Image conversion for parameter and output details.

Video generation

Tool	Purpose
generate_video	Text-to-video and image-to-video. Engines: kling-v3, kling, haiper, veo3, wan, minimax, vidu, sora, grok, lightricks.
extract_video_frames	Sample frames at a configurable rate; perceptual-hash deduplication filters near-identical frames.
upscale_video	FlashVSR 2–4× upscaling.

See WAN, Kling, Veo 3, and Video upscaling for matching REST recipes.

Audio

Tool	Purpose
transcribe_audio	Speech-to-text with optional word-level timestamps.
text_to_speech	TTS with selectable speakers (aiden, dylan, eric, ryan, serena, sohee, vivian).

See Transcription and Text-to-speech.

Music

Tool	Purpose
generate_music	ACE Step 1.5. Supports structured lyrics with section markers like [Verse], [Chorus], [Bridge]. Returns MP3 audio or WebM with cover image.

See ACE-Step music generation.

Media analysis

Tool	Purpose
caption_media	Generate a descriptive caption for an image or video.
rate_media	NSFW level, blocked status, content labels. Optional sub-analyses for age classification, face recognition, AI detection, and anime recognition.
tag_media	WD-style tagging with confidence scores and content-rating distribution.

Language models

Tool	Purpose
chat_completion	OpenRouter passthrough — any model from OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, Qwen, etc. Supports multi-turn system / user / assistant messages.

See Chat completion for the model ID format.

Prompt utilities

Tool	Purpose
enhance_prompt	Analyze and rewrite a generation prompt for a target ecosystem (sd1, sdxl, flux, ltx2). Returns the improved prompt with issues and recommendations.

See Prompt enhancement.

Discovery

Tool	Purpose
find_models	Natural-language model search across image, video, audio, and chat catalogs. Accepts queries like "fast cheap chat model" or a metrics ID like image/flux1-kontext/pro.

Workflow management

Tool	Purpose	Auth
submit_workflow	Submit raw workflow JSON — same shape as POST /v2/consumer/workflows. Use when a specific tool doesn't cover your case.	optional
get_workflow	Status and output by workflow ID.	optional
cancel_workflow	Cancel a running workflow.	optional
list_workflows	Recent workflows for the authenticated user. Supports take, tags, excludeFailed.	required

Prompts

The server ships three built-in MCP prompts that return ready-to-use guidance for multi-step pipelines. Clients can list and invoke them like any MCP prompt.

Prompt	Input	What it returns
image_generation_guide	intent (e.g. "photorealistic product photo", "anime character", "fast draft")	Engine comparison table, quick recommendations, parameter tips.
video_creation_pipeline	intent (e.g. "product showcase", "music video clip", "talking head")	Recommended pipeline (image → video → upscale), engine selection matrix, example tool sequence.
content_analysis_pipeline	mediaUrl	Stepwise plan: caption → tag → rate, with notes on when to use each.

Resources

URI template	MIME	Behavior
spine://blobs/{blobId}	application/octet-stream	Images are inlined as base64 content. Videos and audio return a 5-minute signed download URL. Returns an error if the blob does not exist.

Tools that produce media include resource links pointing at this URI template, so MCP clients can render outputs inline without a separate download step.

Capabilities advertised on initialize

{
  "protocolVersion": "2024-11-05",
  "capabilities": {
    "logging": {},
    "prompts": { "listChanged": true },
    "resources": { "listChanged": true },
    "tools": { "listChanged": true }
  },
  "serverInfo": {
    "name": "civitai-orchestration",
    "title": "Civitai Orchestration MCP Server",
    "description": "Generate images, videos, audio, and more via the Civitai Orchestration platform"
  }
}

Related

• MCP Server overview — endpoint, auth, and client setup
• Recipes — REST equivalents with runnable examples
• API Reference — generated from the OpenAPI spec