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pixibox-mcp-server

v2.2.2

Published

Model Context Protocol server for Pixibox.ai — generate 3D models, control DCC tools (Blender/Houdini/Maya/UE5), manage assets, and orchestrate production pipelines via AI agents.

Readme

Pixibox MCP Server v2.0

Model Context Protocol server for Pixibox.ai — generate 3D models, control DCC tools, manage assets, and orchestrate production pipelines via AI agents.

55+ Tools

| Category | Tools | Description | |----------|-------|-------------| | Generation | 8 | Create 3D from image/text, poll status, export formats | | Batch | 6 | Batch generation, retry, cancel | | DCC Bridge | 5 | Control Blender/Houdini/Maya/UE5 — push models, execute scripts | | DCC Helpers | 3 | Pre-built: Blender render, scene info, Houdini HDA cook | | Pipeline | 6 | Multi-step workflows: image→3D→optimize→DCC | | Assets | 4 | Upload, download, list, delete cloud assets | | Textures | 3 | AI texture generation, PBR presets, style transfer | | Optimization | 1 | Mesh decimation & LOD | | Rigging | 5 | Auto-rig, pose, animate | | Arena | 4 | Leaderboard, battles, voting | | Gallery | 4 | Browse, publish, tag | | Teams | 4 | Create teams, share assets | | Collaboration | 6 | Comments, annotations, reviews, versioning | | Account | 7 | Usage, subscription, notifications, AI models list | | Image Gen | 1 | Hunyuan image generation |

Quick Start

With Claude Code

npm install -g pixibox-mcp-server

Add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "pixibox": {
      "command": "npx",
      "args": ["-y", "-p", "pixibox-mcp-server", "pixi-mcp-server"],
      "env": {
        "PIXIBOX_API_KEY": "px_your_key_here"
      }
    }
  }
}

With Claude Desktop (SSE)

MCP_TRANSPORT=sse MCP_PORT=3100 PIXIBOX_API_KEY=px_... \
  npx -y -p pixibox-mcp-server pixi-mcp-server

Pixibox CLI

export PIXIBOX_API_KEY=px_your_key_here

# Generate 3D from image
pixibox generate --image https://example.com/photo.jpg --model trellis --wait

# Check DCC bridge
pixibox bridge status

# Push model to Blender
pixibox bridge push blender --generation gen_abc123

# Run pipeline
pixibox pipeline run image-to-dcc --image https://example.com/photo.jpg

# Start MCP server
pixibox mcp
pixibox mcp --sse --port 3100

Environment Variables

| Variable | Required | Default | Description | |----------|----------|---------|-------------| | PIXIBOX_API_KEY | Yes | — | API key (px_...) | | PIXIBOX_API_BASE | No | https://pixibox.ai/api | API base URL | | MCP_TRANSPORT | No | stdio | stdio or sse | | MCP_PORT | No | 3100 | SSE server port |

Pipeline Templates

| ID | Steps | |----|-------| | image-to-dcc | Generate → Push to DCC | | text-to-optimized | Generate → Optimize mesh | | full-pipeline | Generate → Optimize → Export → Push to DCC | | batch-compare | Generate (Trellis + Hunyuan + Rodin) | | houdini-procedural | Generate → Push to Houdini → Run HDA |

Architecture

Claude Code / Claude Desktop / Pixibox CLI
    ↓ (stdio or SSE)
Pixibox MCP Server
    ↓ (REST API)
Pixibox Backend (Express + Socket.IO)
    ├→ BullMQ → AI Providers (Fal.ai, NVIDIA, Hunyuan)
    ├→ GCS Storage
    └→ Socket.IO /bridge → Blender / Houdini / Maya / UE5

License

MIT — Aerovfx / Pixibox.ai