A teaching plan before pixels
The AI receives a five-beat story—hook, intuition, model, walkthrough, and recap—matched to the audience, duration, format, and learning goal.
Ultromotion MCP turns a prompt into a planned, editable visual tutorial. Your assistant gets the production rules, scientific scene tools, working templates, live preview, and quality checks it needs to make more than a generic animation.
Tutorial brief
Why does gradient descent converge?
Context that changes the result
Tool access alone tells an AI what it can call. Ultromotion also teaches it how to structure an explanation, compose a frame, pace a reveal, and check the result.
The AI receives a five-beat story—hook, intuition, model, walkthrough, and recap—matched to the audience, duration, format, and learning goal.
It can discover compatible math, physics, data, and algorithm templates, open one as a working project, and adapt it instead of guessing fields.
A production-readiness check catches crowded scenes, unsafe placement, tiny text, invalid captions, weak pacing, and missing staged motion.
Basic and Pro
Basic is genuinely useful for 2D explainers. Pro adds the tools for scientific 3D work and lets the assistant revise an existing project in place.
https://www.ultromotion.com/api/mcphttps://www.ultromotion.com/api/mcp/proHow it works
Define one learning objective, audience, length, aspect ratio, and visual tone.
Build the explanation in narration order using exact schema recipes and stable element IDs.
Watch the real interactive scene instead of trusting a text-only description.
Run the tutorial review, fix the highest-impact issues, then open the project in the studio.