motion-canvas-agent
Skill77 starsChanged 41 days agoApache-2.0View on GitHub
Agent tooling for Motion Canvas — seek, screenshot, scene graph inspection, settings control, and rendering via HTTP API. Use when an agent needs to visually verify, screenshot, inspect or render a running Motion Canvas editor. Requires a browser with the editor open.
- Sends data out
In this repository2 other files it gives its agents.
- animation-basicsSkill
- motion-canvasSkill
The file
Files
Motion Canvas Agent Plugin
Full programmatic control of a running Motion Canvas editor via HTTP. Seek to any frame, capture screenshots, inspect the scene graph, change resolution/fps/background, and trigger rendering — all without browser automation.
Architecture
Agent (curl/script) ──HTTP──▶ Vite Server (agent-plugin.ts) ──HMR WS──▶ Browser (agent-client.ts)
│ │
▼ ▼
screenshots/ Player + Renderer
(PNG files) + ProjectMetadataSetup
1. Copy plugin files into your project
assets/agent-plugin.ts→ project rootassets/agent-client.ts→src/
2. vite.config.ts
import {defineConfig} from 'vite';
import motionCanvas from '@motion-canvas/vite-plugin';
import {agentPlugin} from './agent-plugin';
export default defineConfig({
plugins: [
motionCanvas(),
agentPlugin({screenshotDir: './screenshots'}),
],
});3. project.ts
import {makeProject} from '@motion-canvas/core';
import {agentClient} from './agent-client';
export default makeProject({
plugins: [agentClient()],
scenes: [...],
});4. Start + open browser
npm start
# Open http://localhost:9000 in a browserHTTP API Reference
Base URL: http://localhost:9000/__agent
Playback Control
| Method | Endpoint | Body | Response |
GET | /status | — | {connected, frame, duration, fps, paused, sceneName, errors} |
POST | /seek | {frame: 120} | {ok, frame} |
POST | /next-frame | — | {ok, frame} |
POST | /prev-frame | — | {ok, frame} |
POST | /play | — | {ok} |
POST | /pause | — | {ok} |
Screenshots
| Method | Endpoint | Body | Response |
POST | /screenshot | {name: "my-shot"} | {ok, path, frame} |
POST | /screenshot-base64 | — | {ok, data, frame} |
Settings
| Method | Endpoint | Body | Response |
GET | /settings | — | {background, range, size, previewFps, previewScale, renderingFps, renderingScale} |
POST | /settings/background | {color: "#0F172A"} | {ok} |
POST | /settings/range | {start: 0, end: 300} | {ok} |
POST | /settings/size | {width: 1920, height: 1080} | {ok} |
POST | /settings/preview-fps | {fps: 30} | {ok} |
POST | /settings/preview-scale | {scale: 0.5} | {ok} |
POST | /settings/rendering-fps | {fps: 60} | {ok} |
POST | /settings/rendering-scale | {scale: 2} | {ok} |
Rendering
| Method | Endpoint | Body | Response |
POST | /render | {fps?, range?} | {ok, message} |
POST | /render/abort | — | {ok, message} |
Scene Info
| Method | Endpoint | Body | Response |
GET | /scenes | — | {scenes: [{name}], currentScene} |
GET | /scene-graph | — | {scene, graph} (recursive node tree) |
GET | /threads | — | {scene, slides: [{name, id}]} |
Errors
| Method | Endpoint | Body | Response |
GET | /errors | — | {errors: [{message, stack}]} |
POST | /clear-errors | — | {ok} |
Scene Graph Format
GET /__agent/scene-graph returns a recursive tree:
{
"scene": "my-scene",
"graph": {
"type": "View2D",
"key": "my-scene/View2D[1]",
"position": {"x": 960, "y": 540},
"size": {"width": 1920, "height": 1080},
"children": [
{
"type": "Rect",
"position": {"x": 0, "y": 0},
"size": {"width": 400, "height": 300},
"fill": "#1E293B",
"children": [
{
"type": "Txt",
"text": "Hello World"
}
]
}
]
}
}Each node includes: type, key, position, size, opacity (if not 1), fill, text (if applicable), and children.
AI Agent Workflow
# 1. Check connection
curl -s localhost:9000/__agent/status
# 2. Set resolution
curl -s -X POST localhost:9000/__agent/settings/size \
-H "Content-Type: application/json" -d '{"width": 1920, "height": 1080}'
# 3. Seek to a frame
curl -s -X POST localhost:9000/__agent/seek \
-H "Content-Type: application/json" -d '{"frame": 60}'
# 4. Screenshot
curl -s -X POST localhost:9000/__agent/screenshot \
-H "Content-Type: application/json" -d '{"name": "check-1"}'
# → Read ./screenshots/check-1.png
# 5. Inspect scene graph
curl -s localhost:9000/__agent/scene-graph
# 6. Check which scene we're in
curl -s localhost:9000/__agent/scenes
# 7. Check errors
curl -s localhost:9000/__agent/errors
# 8. Change background
curl -s -X POST localhost:9000/__agent/settings/background \
-H "Content-Type: application/json" -d '{"color": "#000000"}'
# 9. Trigger render
curl -s -X POST localhost:9000/__agent/renderSecurity
- Localhost only: The agent API runs on the Vite dev server which binds to localhost by default. Do not expose it to the network (avoid
--host 0.0.0.0in production) - Screenshot paths: The screenshot name is sanitized — path separators and dots are stripped, and the resolved path is verified to stay inside the configured
screenshotDir - Scene graph text: Text content extracted from the scene graph is sanitized (control characters stripped, truncated to 100 chars). Treat scene graph data as untrusted when processing it
How It Works
- Runtime plugin (
agentClient()) usesPlugin.player(),Plugin.renderer(), andPlugin.project()callbacks to capture the Player, Renderer, and Project instances - Player provides seek, frame stepping, playback control, current scene, duration
- ProjectMetadata provides
shared(background, range, size),preview(fps, scale), andrendering(fps, scale, exporter) settings via.get()/.set() - Renderer provides
render(settings)andabort()for export - Scene graph is traversed via
scene.getView().peekChildren()recursively, serializing type, position, size, fill, text, opacity - Communication uses Vite's HMR WebSocket
Files
| File | Copy to | Purpose |
assets/agent-plugin.ts | Project root | Vite plugin — HTTP endpoints + WS relay |
assets/agent-client.ts | src/ | Runtime plugin — Player/Renderer/Project control + canvas capture |
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