studio-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables LLM agents to generate and validate multi-granularity storyboard assets from text prompts, including 2D SVG motion, 3D Blender depth/blockout, and SDXL ControlNet final images. It also supports vision-based self-correction and a SQLite knowledge database of successful recipes.MIT
- FlicenseNot gradedqualityAmaintenanceEnables an AI agent to ingest raw video clips, plan and edit a montage from natural-language prompts, and produce a rendered, beat-synced cut with matched music, subtitles, transitions, and picture-in-picture.-
- AlicenseBqualityBmaintenanceEnables AI agents to script, narrate, source assets, and edit a validated NLE-style timeline with narration-anchored timing, then preview, check and render a finished vertical film with layout, loudness and delivery rules enforced. Every edit is atomic and undoable, so agents can iterate on real editor state instead of a fixed template.19MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI coding agents to generate cinematic video and image assets and perform autonomous timeline assembly, multi-track audio editing, chroma-key compositing, and local draft manipulation from conversational prompts.3MIT
- FlicenseNot gradedqualityBmaintenanceEnables a local LLM to direct Unreal Engine 5 scenes through verified task-level macros and bounded workflows, applying character animations, measuring poses and foot placement, and capturing evidence while restoring state on failure. It also supports plain-language orders for character actions, crowds, and reference-video generation without requiring a small model to compose hundreds of atomic engine tools.1-
- AlicenseCqualityAmaintenanceEnables AI agents to turn natural-language creative direction, transcripts, and source media into fully structured, editable video projects, then verify and render delivery files.254MIT
TDQS
Scored across 5 tools
Each tool has a distinct purpose: assemble builds the cut manifest, lock_campaign sets the visual look, plan_shots creates the shot plan, project_status reports stage completion, and qc_still performs quality control. There is no overlap or ambiguity between them.
Tool names are not perfectly consistent: 'assemble' is a bare verb, while others follow verb_noun (lock_campaign, plan_shots) or noun_noun (project_status) patterns, and 'qc_still' uses an abbreviation. The naming is understandable but lacks a uniform convention.
With 5 tools, the count is appropriate for the domain of film production planning and quality control. It covers the main workflow stages without being too heavy or too sparse, though a few more specialized tools could be added later.
The tool set covers the core stages: planning, look locking, assembly, QC, and status tracking. Notable gaps like actual rendering or exporting are intentionally omitted per v1 scope. The surface is fairly complete for its intended purpose.