Nova Creative

Get owned generated image, video, audio and 3D files with preview/download links, plus the saved Nova project. Links expire after fifteen minutes; call again to refresh them. Partial results remain accessible without regenerating. Use workflow_get with include_results=true for saved node values such as text.

workflow_run_results

Load one user-owned workflow, including its graph and updatedAt concurrency token.

workflow_get

Download a user-selected image, video, audio or 3D attachment, validate it and save an owned Nova reference. Maximum 64 MB. Voice samples can feed audioImport. Never persist the temporary download_url.

asset_import

List saved workflows owned by the selected Nova user, newest first.

workflow_list

UI-only: load an owned editor image or mask through the MCP bridge. Image bytes are private UI metadata; no browser cookies or cross-origin pixel access are required.

object_editor_asset

UI-only: retrieve this editor's durable scene and render outputs and submitted edit snapshot from an owned run. Layer details remain private UI metadata.

object_editor_run_outputs

Search trusted Nova workflow skills used by AI Chat. Use when diagnosing a workflow quality issue or applying a known repair such as seamless video continuity.

workflow_skill_reference

Read the authoritative Nova node and port reference. Use before creating or wiring unfamiliar node types. For video presentations with animated slides, text or statistics, or an explicit Remotion request, query remotionVideo for selection guidance, workflow placement, scene plans and media inputs. Write the plan with the current model and use mode=plan. Generic video/ad requests do not automatically need Remotion; use videoGenerator for new realistic action and editing nodes for simple edits.

workflow_node_reference

Read this deployment's feature version, media/upload limits, GPU role access and generation grant. Personal tokens cannot generate. With workflows.generate, use workflow_generate after the user's chat approval of a fresh preflight; the native card is optional. Use before relying on new features.

nova_capabilities

Atomically rename a workflow owned by the selected Nova user without changing its graph or results.

workflow_rename

Validate an owned saved workflow and review its exact configuration, provider-call bound and estimated Nova credits. Does not generate or charge. After the user approves this scope and estimate, call workflow_generate with the preflight id and exact estimatedCredits, or use the optional Nova card. Expires after five minutes; editing the project invalidates it.

workflow_preflight

Start generation after the user explicitly approves the saved workflow's scope and estimated usage in chat. Requires a fresh workflow_preflight and workflows.generate OAuth scope; no card or private confirmation token is needed. Uses the connected account's credits or configured credentials. Unknown-cost reviews are rejected. Reuse request_id when retrying; one reviewed snapshot can execute only once. Follow the returned run id for progress and results.

workflow_generate

Permanently delete the exact owned cloud GPU server and its attached disk. Read gpu_server_state for expected_managed_rental_id and get explicit approval of permanent deletion before setting confirm_stop=true. This is not a pause; local GPUs and Nova media are preserved. Requires workflows.write. Charges stop only after provider deletion completes; verify the rental with gpu_server_state. Stale targets are rejected.

gpu_server_terminate

UI-only: validate and save the user's PNG/JPEG/WebP replacement reference in the connected Nova account. Does not generate or charge.

object_editor_upload

Save one user-selected local image, video, audio or 3D reference from base64 bytes, at most 16 MB. The client reads the selected file; the remote server never reads disk paths. No generation or charge. Use the returned owned asset in incremental workflow operations.

asset_upload

Read talking-avatar runtime readiness on an owned GPU. Shared cards cannot be reconfigured.

Provision one supported avatar runtime on an owned GPU only after explicit approval of its large dependencies and ongoing GPU time. Requires workflows.generate and confirm_install=true. Returns a job handle; no generation.

Poll one avatar-runtime installation job on an owned GPU. No new installation or generation.

Read GPU model ids, download sizes, VRAM requirements and license metadata; no credentials or download URLs. kind: image/video/llm or empty.

List owned/available GPU nodes, live memory/workloads and optional installed model ids. Set an explicit online gpuNodeId before reviewing Avatar/Comfy workflows. No rental or installation.

Add a catalog model to the exact current rental after approval of its download size and hourly rate. Requires workflows.generate, confirm_install=true and the current credits/hour. Poll gpu_server_state; never imply downloading is free GPU time.

Remove this catalog model/files from the exact owned rental after explicit confirmation. Does not remove media or stop the server. Requires confirm_remove=true.

Read GPU tiers, card types, disk/idle options and hourly rates for existing-server review and settings. GPU rental is unavailable through this plugin. Does not rent or charge.

Update this exact rental's idle shutdown only after explicit confirmation. idle_off_minutes=0 disables auto-off and continues billing until stopped. Use options from gpu_server_quotes; requires confirm_change=true.

Read My server ids, readiness, model progress, charges and idle shutdown. Optionally inspect an exact owned managed_rental_id to verify completed versus teardown-pending provider deletion. off is not permission to rent again.

Read Comfy template ids, required bundles, VRAM, input handles, runtime voice/reference sockets and parameter defaults. kind: image/video or empty.