**CozyClay** is a browser-based 3D previsualization studio — block a scene, pose the cast, author camera moves and cuts, then carry the same shots to an AI video model. It is built with **Three.js and React Three Fiber**, licensed **AGPL-3.0**, and created and maintained by **Doyun** at the **NomaDamas** organization. Public since **28 July 2026**, it has reached **319 stars and 43 forks**, with **v1.5.0** released on **23 August 2026** — the fifth release, also published to npm the same day. Installation is a single command: `npx cozyclay` downloads the built studio and opens it at `127.0.0.1:5180`, with nothing to compile and no dependency tree to install. It requires **Node.js 22+** and a Chromium-based browser. The studio ships seeded with a pre-generated motion clip, so scrubbing the timeline, driving cameras, and drawing a dolly rail work immediately on a laptop — a sensible choice for a tool whose heaviest feature is optional. The editing model borrows muscle memory from conventional 3D packages rather than inventing its own. Primitives and set pieces move, rotate, and scale through a **W/E/R gizmo**, with grid snapping treated as a preference that `Ctrl` inverts mid-drag. A bird's-eye plan view drives 2D root waypoints for character paths. Camera work covers right-drag fly with WASD walking and Q/E craning, middle-drag pan, Alt+drag orbit, and `F` to frame. Notably, **every scene mutation goes through one history store** — a drag, a scrub, or an inspector edit is exactly one undo entry, and `Esc` cancels an in-flight drag and restores the pre-drag transform. That is a detail plenty of larger tools get wrong. Motion generation runs through **ARDY**, and this is where the hardware requirement lives: an **SSH-accessible NVIDIA machine**, with first-time setup pulling a **~16.4 GB text-encoder stack** onto that box. Users pose characters, export poses, sequence multi-phase motion as **Prompt Blocks** on a resizable timeline, send them to ARDY, and play the result back with **sparse IK correction** where generated motion needs fixing. The project also ships a token-free provisioning path for ARDY's text encoder — one command installs the same stack from public repositories pinned by commit and SHA-256, skipping the Hugging Face account and gated-model approval. That workflow is built with **Meta Llama 3**, and the encoder's base weights carry the Meta Llama 3 Community License. The distinguishing feature is the bundled **MCP server**. Connecting Claude or any MCP client lets a director ask for a shot in plain language and watch the viewport move — placing the cast, framing "a low wide profile", generating multi-phase motion. With the editor open, tool calls drive the visible viewport; with no editor running, scene and project tools operate headless to block scenes, derive film vocabulary such as "wide shot · right profile · knee level · 24mm", render AI video prompts, and write `.cclayproject` files. Four tools — `capture_frame`, `set_prompt_blocks`, `generate_motion`, and `apply_batch` — require the live editor. The limits are worth naming. **AGPL-3.0** is a deliberate choice that will rule the project out for some commercial pipelines. Motion generation is gated behind GPU hardware most users will not have idle, so a large share of the tool's promise stays off by default. And with **4 contributors** and five releases in under a month, this is early software moving fast. For solo filmmakers and small teams who want to previsualize shots before spending on AI video generation, that trade may be easy; for studios wanting a stable pipeline component, it is early.