Infinigen MCP Server

A Model Context Protocol (MCP) server for Infinigen - enabling AI assistants to generate photorealistic 3D scenes procedurally.

Overview

This MCP server provides a bridge between AI assistants (like Claude) and Infinigen, a powerful procedural 3D scene generator developed by Princeton Vision & Learning Lab. Through this server, AI assistants can:

• Generate photorealistic natural scenes (terrain, vegetation, weather)

• Create detailed indoor environments (rooms, furniture, decorations)

• Produce 3D assets with various export formats (OBJ, OpenUSD, etc.)

• Generate annotated data for computer vision tasks (depth maps, segmentation, etc.)

Features

• 🌲 Nature Scene Generation: Create outdoor environments with realistic terrain and vegetation

• 🏠 Indoor Scene Generation: Generate furnished interior spaces

• 🎨 Asset Creation: Produce individual 3D objects and elements

• 📊 Batch Processing: Generate multiple scenes with different configurations

• 🔧 Configurable: Full control over scene parameters through Infinigen's config system

Prerequisites

• Node.js >= 18.0.0

• Python 3.10+ with Infinigen installed

• Blender (required by Infinigen)

Installation

# Clone the repository
git clone <repository-url>
cd infinigen-mcp

# Install dependencies
npm install

# Build the project
npm run build

Configuration

Ensure Infinigen is properly installed and accessible in your Python environment. See Infinigen's installation guide for details.

Usage

Running the Server

npm start

Connecting with Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "infinigen": {
      "command": "node",
      "args": ["/path/to/infinigen-mcp/dist/index.js"]
    }
  }
}

Development

# Watch mode for development
npm run watch

# Run in development mode
npm run dev

Architecture

This MCP server acts as a wrapper around Infinigen's command-line interface, providing:

1. Tool Interface: MCP tools for scene generation operations

2. Process Management: Handles Infinigen subprocess execution

3. Output Handling: Manages generated files and provides access to results

4. Configuration Management: Simplifies Infinigen's configuration system

Available Tools

(To be implemented)

• generate_nature_scene: Generate outdoor natural environments

• generate_indoor_scene: Create interior spaces

• generate_asset: Produce individual 3D objects

• list_outputs: View generated scene files

• configure_scene: Set scene parameters

Contributing

Contributions are welcome! This is an open-source project aimed at making Infinigen more accessible through AI assistants.

License

MIT

Acknowledgments

• Infinigen by Princeton Vision & Learning Lab

• Model Context Protocol by Anthropic

Related Links

• Infinigen Documentation

• MCP Documentation