Type into your AI, get a verified video. Envie renders what your AI designs, verifies it, and reads it back in full. Built on Check.
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !Licence file present but not machine-readable
claude mcp add envie -- npx -y @golproductions/envie{
"mcpServers": {
"envie": {
"command": "npx",
"args": ["-y", "@golproductions/envie"]
}
}
}MCP Servers overview
# Envie
**AI video, verified.**
Describe a video to your AI. Get a real file back.
Envie gives Claude Code and any MCP client a deterministic render engine: headless Chrome filmed frame by frame, six verification gates, and a full read-back layer. Free. No watermark. No account.
By [GOL Productions](https://golproductions.com).
---
## The Problem
AI can write code. AI can describe video. But AI can't see what it made—so it guesses, you render, it's wrong, you describe what's wrong, repeat.
## The Solution
```
You: "Make me a 15-second launch video for my app"
AI: [writes HTML composition]
AI: [calls envie_render]
AI: [calls envie_see to check frames]
AI: "Done. Video at output.mp4. All 6 gates passed."
```
Envie renders what your AI writes, verifies it machine-checks, and lets your AI see the result. No guessing.
---
## Install
```
npx @golproductions/envie setup
```
Detects Claude Code, Cursor, Windsurf—registers with all of them. Then just ask:
> "Make me a 15-second vertical launch video for my app"
<details>
<summary>Manual install</summary>
```json
{ "mcpServers": { "envie": { "command": "npx", "args": ["-y", "@golproductions/envie", "mcp"] } } }
```
Or for Claude Code:
```
claude mcp add envie -- npx -y @golproductions/envie mcp
```
</details>
---
## How It Works
```
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ WRITE │ ──► │ RENDER │ ──► │ VERIFY │ ──► │ SEE │
│ │ │ │ │ │ │ │
│ AI writes │ │ Chrome films│ │ 6 gates │ │ AI checks │
│ HTML comp │ │ frame by │ │ machine- │ │ frames at │
│ │ │ frame │ │ check video │ │ timestamps │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
```
### 1. Write
Your AI reads `envie_guide` and writes a composition: one self-contained HTML file with CSS animations, WebGL, Canvas, GIFs—whatever the browser can render.
### 2. Render
`envie_render` films it deterministically. Headless Chrome with a virtualized clock: `performance.now()`, `Date.now()`, `requestAnimationFrame`, `setTimeout`—all seeked frame by frame.
**Same composition = same video. Every time.**
### 3. Verify
Six gates machine-check the result before delivery:
| Gate | What it checks |
|------|----------------|
| **G1** | File exists, valid container, ≥2.9s duration |
| **G2** | Has both video and audio streams |
| **G3** | Audio isn't silent (mean > -50dB) |
| **G4** | No black segment > 2 seconds |
| **G5** | No freeze > 8 seconds, < 60% total still time |
| **G6** | Final 15% isn't dead (frozen or black) |
A failing video comes back marked **FAILED**, with the gate report and an instruction not to deliver it, so your AI fixes the composition and renders again.
### 4. See
`envie_see` returns frames at chosen timestamps so your AI can judge layout and pacing—not just whether the file exists.
### 5. Translate
`envie_translate` reads the finished file as data: per-frame motion, every cut and fade, still holds, LUFS, true peak, and how each audio hit sits against the nearest picture event.
---
## Requirements
| Requirement | Notes |
|-------------|-------|
| **Node 24+** | Or later |
| **Chrome** | Or set `ENVIE_CHROME` to your binary |
| **ffmpeg + ffprobe** | Must be on PATH |
| **Audio** | Required. Videos with no audio fail G2 and G3 |
### Audio options
| Option | Platform | Description |
|--------|----------|-------------|
| `--narration "text"` | Windows only | Local TTS voiceover (SAPI) |
| `--audio file.wav` | All platforms | Overlay any wav/mp3/m4a |
Runs entirely on your machine. Nothing reaches GOL servers.
---
## Formats
| Flag | Container | Codec |
|------|-----------|-------|
| `--format h264` | .mp4 | libx264 (default) |
| `--format h265` | .mp4 | libx265 10-bit |
| `--format prores` | .mov | ProRes 422 HQ 10-bit |
| `--format prores4444` | .mov | ProRes 4444 10-bit |
| `--format dnxhr` | .mov | DNxHR HQ |
---
## CLI
```
npx @golproductions/envie setup # register MCP server
npx @golproductions/envie uninstall # remove everything setup added
envie render <comp.html> -o out.mp4 [options] # render video
envie see <comp.html|video.mp4> [--at 1000,4000] # extract frames
envie verify <video.mp4> # run gates
envie translate <video.mp4> # analyze motion/audio
envie guide # print authoring guide
envie mcp # start MCP server
```
### Render options
```
--narration "text" # TTS voiceover (Windows)
--audio file.wav # Overlay audio file
--fps 24 # Frame rate (default: 24)
--format h264 # Output codec
-o output.mp4 # Output path
```
---
## Composition Format
One self-contained HTML file:
```html
<!DOCTYPE html>
<html>
<head>
<style>
body { margin: 0; width: 1080px; height: 1920px; overflow: hidden; }
/* your animations */
</style>
</head>
<body data-duration-ms="15000" data-width="1080" data-height="1920">
<!-- your content -->
</body>
</html>
```
### Required attributes
| Attribute | Description |
|-----------|-------------|
| `data-duration-ms` | Video length in milliseconds (3000–300000) |
| `data-width` | Canvas width (default: 1920) |
| `data-height` | Canvas height (default: 1080) |
### What's virtualized
Everything the browser can animate:
- CSS animations, transitions
- Web Animations API
- `requestAnimationFrame`
- `setTimeout`, `setInterval`
- Canvas 2D, WebGL
- `performance.now()`, `Date.now()`, `new Date()`
- Animated images (GIF, WebP, APNG, AVIF)
- `Math.random()`, `crypto.getRandomValues` (seeded)
- Classic Web Workers (run on the virtual clock)
**NOT virtualized** (avoid):
- Module Web Workers and strict-mode worker code
- WebAudio-driven visuals
---
## Intent Assertions
Declare what the composition must achieve:
```html
<body data-duration-ms="12000"
data-expect-sync-ms="120"
data-expect-no-holds-longer-than="3">
```
| Assertion | Meaning |
|-----------|---------|
| `data-expect-sync-ms="120"` | Audio hits must land within 120ms of a picture event |
| `data-expect-no-holds-longer-than="3"` | No still hold may exceed 3 seconds |
Failures are reported test-style:
```
SYNC FAIL: mean audio-to-picture offset 380ms exceeds tolerance 120ms
HOLD FAIL: 2 hold(s) exceed 3s: 4.20s @0.40s, 3.10s @7.80s
```
---
## Deterministic Rendering
The render engine virtualizes time itself:
```javascript
// Inside the page during render:
performance.now() // → virtual clock
Date.now() // → virtual clock
new Date() // → virtual clock
Math.random() // → seeded PRNG
// Same seed, same composition = identical output
```
This is how the same HTML produces the same video, every render.
### What "deterministic" means
**Same machine + same Chrome version + same composition = bit-identical output.**
Cross-environment, you may see variation from:
- Font rendering (anti-aliasing, hinting differ by OS/GPU)
- WebGL/Canvas floating-point precision
- Chrome version changes
- System font fallbacks (embed fonts to avoid)
The guarantee is reproducibility on your machine, not cross-platform bit-identity. That's the right scope: your AI iterates locally, re-renders, gets the same result.
---
## Your Work Is Yours
GOL claims no ownership over your compositions or videos. Envie runs on your machine. Nothing you make reaches us.
---
## License
Free, under the GOL Open License: use, modify and redistribute it, with attribution to GOL Productions kept in every copy and fork. See [LICENSE](./LICENSE).
"Envie" and "GOL Productions" are trademarks. Forks must use a different name and state that they are based on software by GOL Productions.
---
## GOL Productions
Envie is part of the [GOL Productions](https://golproductions.com) toolchain.
- **[Check](https://golproductions.com/check)** — Anti-hallucination layer for Claude Code
- **[Exnos](https://golproductions.com/exnos)** — Live browser verification
[Product page](https://golproductions.com/envie) · [GitHub](https://github.com/golproductions/envie)
What people ask about envie
What is golproductions/envie?
+
golproductions/envie is mcp servers for the Claude AI ecosystem. Type into your AI, get a verified video. Envie renders what your AI designs, verifies it, and reads it back in full. Built on Check. It has 0 GitHub stars and its last recorded update is dated 2026-09-24.
How do I install envie?
+
You can install envie by cloning the repository (https://github.com/golproductions/envie) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is golproductions/envie safe to use?
+
Our security agent has analyzed golproductions/envie and assigned a Trust Score of 80/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains golproductions/envie?
+
golproductions/envie is maintained by golproductions. The last recorded GitHub activity is dated 2026-09-24, with 0 open issues.
Are there alternatives to envie?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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