atsurae
by 1000ri-jp
README.md
# atsurae
> AIが、あつらえる — AI-crafted video editing
MCP Server for AI-powered video editing. Let Claude, GPT, or any AI agent edit videos through natural language.
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/)
[](https://modelcontextprotocol.io)
---
## Quick Start
```bash
# Install with pip
pip install atsurae
# Or with uv
uv pip install atsurae
```
### Claude Desktop Configuration
Add to your Claude Desktop config (`claude_desktop_config.json`):
```json
{
"mcpServers": {
"atsurae": {
"command": "python",
"args": ["-m", "atsurae"],
"env": {
"ATSURAE_API_URL": "https://api.atsurae.ai",
"ATSURAE_API_KEY": "your-api-key"
}
}
}
}
```
Then restart Claude Desktop. You can now edit videos through conversation.
---
## Features — 10 MCP Tools
| Tool | Description |
|------|-------------|
| `atsurae_inspect` | View project state at 3 detail levels: **L1** summary, **L2** structure, **L3** full timeline |
| `atsurae_edit` | Add, move, trim, transform, and delete clips on the timeline |
| `atsurae_audio` | Manage audio tracks — volume, ducking, BGM, narration |
| `atsurae_semantic` | High-level operations: `close_all_gaps`, `snap_to_previous`, `reorder_clips` |
| `atsurae_batch` | Execute up to 20 operations atomically in a single call |
| `atsurae_preview` | Get visual preview frames, event points, and before/after diffs |
| `atsurae_analyze` | Quality analysis — detect gaps, pacing issues, composition problems |
| `atsurae_render` | Start, monitor, and download video renders |
| `atsurae_history` | View operation history and rollback changes |
| `atsurae_pipeline` | End-to-end AI video creation pipeline |
---
## Example
```
You: Create a 30-second intro video with the uploaded avatar and background music
Claude: I'll create the intro video. Let me inspect the available assets first...
[atsurae_inspect] → Found: avatar.mp4, bgm.mp3, logo.png
[atsurae_edit] → Placed avatar on Layer 3, logo on Layer 5
[atsurae_audio] → Added BGM with -6dB ducking under narration
[atsurae_semantic] → Closed all gaps, snapped clips
[atsurae_analyze] → Quality check passed (no gaps, good pacing)
[atsurae_render] → Rendering at 1080p...
Claude: Your intro video is ready!
Duration: 30s | Resolution: 1920x1080 | Size: 12.4 MB
Download: https://api.atsurae.ai/renders/abc123/output.mp4
```
---
## Architecture
```
MCP Protocol REST API
[You / AI Agent] ──────────────→ [atsurae MCP] ──────────→ [atsurae.ai API]
Server │
▼
[Video Engine]
│
▼
[FFmpeg Render]
│
▼
[Output MP4]
```
**Layer Compositing Model:**
```
L5: Telop / Text overlays
L4: Effects (particles, transitions)
L3: Avatar (chroma-keyed)
L2: Screen capture / Slides
L1: Background (3D space, gradients)
```
Output: 1920x1080, 30fps, H.264 + AAC, MP4
---
## API
atsurae.ai also exposes a REST API that any AI agent can call directly, without MCP.
Documentation: [https://docs.atsurae.ai](https://docs.atsurae.ai) *(coming soon)*
---
## Development
```bash
# Clone
git clone https://github.com/1000ri-jp/atsurae.git
cd atsurae
# Install with dev dependencies
uv pip install -e ".[dev]"
# Run the MCP server locally
python -m atsurae
```
---
## Contributing
Contributions are welcome. Please open an issue first to discuss what you'd like to change.
---
## License
[MIT](LICENSE)
---
**atsurae** is built by [1000ri-jp](https://github.com/1000ri-jp).
*AIが、あつらえる* — AI crafts it for you.
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