Atsurae

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

# 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):

{
  "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 (coming soon)

---

Development

# 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.

AIが、あつらえる — AI crafts it for you.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: 1000ri-jp
• Source: 1000ri-jp/atsurae
• License: MIT
• Homepage: https://atsurae.ai

Install and usage instructions live in the source repository linked above.