org.swapp1990.designforyou/designforyou

Browse the DesignForYou template catalog. Optionally filter by category (e.g. 'instagram', 'app-store', 'logo', 'living-panels'). Returns template IDs, names, and previews.

Return the no-server-LLM Living Panels authoring brief: PanelScript instructions, schema, unit templates, and success criteria. Use this when the MCP client will do the creative direction with its own model, then call comic_submit_design with the authored Story JSON.

Return the current Story JSON, stale-write hash, allowed patch paths, and dirty-node contract for a client-authored Living Panels revision. Use this when the client will decide the edit with its own model, then call comic_submit_revision.

Check asset-production progress for a comic created with create_comic: panels, motion clips, and voice lines done vs total, plus ready=true when the whole comic is live at its reader_url. Free to call.

Accept a client-authored Living Panels Story JSON and start artifact production without using a server story LLM. The client does direction; DesignForYou validates, saves, generates character sheets, panel/unit art, motion clips, voice-over, and assembles the public reader.

Apply a client-authored Living Panels revision without using a server revision LLM. Targeted changes regenerate only inferred dirty producer nodes such as panel:<id>, motion:<id>, or tts:<bubble_id>.

Write and produce a Living Panels interactive comic from a one-paragraph premise. One call writes a complete 5-page comic (panels, dialogue, motion plan, voice casting) and starts generating every asset in the background: character sheet, ~13 panels of art with character consistency, ambient image-to-video motion for the liveliest panels, and per-line voice-over. Returns immediately with the story summary and a public reader_url where the comic can be read, watched live, and heard. Production takes several minutes — poll comic_status until ready, then share the reader_url.

Create a private reusable DesignForYou template from a structured brief. The returned template_id works immediately with get_text_fields and generate. This stores a user-owned template in the canonical catalog collection; it does not publish it to the anonymous gallery.

Generate one or more finished images from a template (get a template_id from recommend_template or browse_templates) plus a description. Use this after the user has selected or explicitly supplied a template_id; otherwise call `recommend_template` first so the visual gallery can collect the selection. Works for all categories (Instagram, logo, app-store, Visual Novel backgrounds/sprites, CG illustrations). Pass variants for multi-image output (expressions, time-of-day, etc.). Pass session_id to refine a prior result. Pass context_ids to ground a new image on prior designs (character consistency for VN CG scenes). Set model to 'minimax-h3-image-balanced' or 'minimax-h3-image-quality' (or use the 'h3 balanced'/'h3 quality' aliases) to render through the MiniMax H3 image service; context_ids are forwarded as ordered H3 reference images.

Return the authenticated user's current credit balance, usage, and Stripe subscription status. Free to call.

List a template's editable text fields (headline, subhead, CTA, etc.) with their current values. Free. Use right after a template is chosen and BEFORE `generate` when you want to fill the template's fields precisely instead of relying on a freeform description.

Recommend the best matching templates for any use case. Describe what you need and the system auto-detects the category and ranks templates by relevance. Return the recommendations so the user can pick a template from the visual gallery; do not call `generate` in the same turn unless the user explicitly names a template_id or asks you to skip selection.

Generate one fixed-grid visual-novel character sprite sheet, crop it into cell assets, remove the chroma-key background, validate transparent sprites, and return a VN Creator-ready manifest. Base cost: 3 credits. Optional quality.hi_res_cells=true adds a reference-grounded per-cell re-render at full native resolution (fixes cells being limited to ~1/N of the sheet resolution) and bills +2 credits per cell re-rendered. quality.hi_res_model optionally routes the hi-res pass to a specific model (e.g. gpt-image-2 for fabric fidelity).

Return a fixed, no-cost DesignForYou widget payload for ChatGPT Apps debugging. Use this only to verify the template gallery/result iframe renders correctly; it does not generate images, use an LLM, or charge credits.