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rikturnbull

Stable Fast 3D MCP Server

by rikturnbull

Stable Fast 3D MCP Server

An MCP (Model Context Protocol) server that provides tools to generate 3D models from images using Stability AI's Stable Fast 3D API.

Features

  • Generate 3D models from images: Convert any 2D image into a high-quality 3D GLB file

  • Customizable parameters: Control texture resolution, mesh complexity, and more

  • Base64 support: Generate from base64-encoded images for programmatic use

  • Credit balance check: Monitor your Stability AI account balance

Related MCP server: 3D Asset Processing MCP

Prerequisites

Installation

  1. Clone or download this repository:

cd mcp-stable-fast-3d
  1. Install dependencies:

pip install -e .
  1. Set your Stability AI API key as an environment variable:

Windows (PowerShell):

$env:STABILITY_API_KEY = "sk-your-api-key-here"

Windows (Command Prompt):

set STABILITY_API_KEY=sk-your-api-key-here

Linux/macOS:

export STABILITY_API_KEY="sk-your-api-key-here"

Usage

Running the Server

python server.py

Or using the installed command:

mcp-stable-fast-3d

Configuring with Claude Desktop

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

Using uvx from GitHub (recommended - no installation required):

{
  "mcpServers": {
    "stable-fast-3d": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/rikturnbull/mcp-stable-fast-3d", "mcp-stable-fast-3d"],
      "env": {
        "STABILITY_API_KEY": "sk-your-api-key-here"
      }
    }
  }
}

Using local installation with Python:

Windows:

{
  "mcpServers": {
    "stable-fast-3d": {
      "command": "python",
      "args": ["C:\\path\\to\\mcp-stable-fast-3d\\server.py"],
      "env": {
        "STABILITY_API_KEY": "sk-your-api-key-here"
      }
    }
  }
}

macOS/Linux:

{
  "mcpServers": {
    "stable-fast-3d": {
      "command": "python",
      "args": ["/path/to/mcp-stable-fast-3d/server.py"],
      "env": {
        "STABILITY_API_KEY": "sk-your-api-key-here"
      }
    }
  }
}

Configuring with VS Code (GitHub Copilot)

Add to your VS Code settings.json or create .vscode/mcp.json in your project:

Using uvx from GitHub (recommended):

{
  "servers": {
    "stable-fast-3d": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/rikturnbull/mcp-stable-fast-3d", "mcp-stable-fast-3d"],
      "env": {
        "STABILITY_API_KEY": "sk-your-api-key-here"
      }
    }
  }
}

Using local virtual environment:

{
  "servers": {
    "stable-fast-3d": {
      "command": "c:\\path\\to\\mcp-stable-fast-3d\\.venv\\Scripts\\python.exe",
      "args": ["c:\\path\\to\\mcp-stable-fast-3d\\server.py"],
      "env": {
        "STABILITY_API_KEY": "sk-your-api-key-here"
      }
    }
  }
}

Available Tools

generate_3d_model

Generate a 3D model (GLB file) from a 2D image file.

Parameters:

Parameter

Type

Required

Default

Description

image_path

string

Yes

-

Path to input image (JPEG, PNG, or WebP)

output_path

string

No

Same as input with .glb extension

Path for output GLB file

texture_resolution

string

No

"1024"

Texture resolution: "512", "1024", or "2048"

foreground_ratio

float

No

0.85

Padding ratio (0.1 to 1.0)

remesh

string

No

"none"

Remeshing: "none", "quad", or "triangle"

vertex_count

int

No

-1

Target vertex count (-1 for no limit)

Example:

Generate a 3D model from the image at C:\images\cat-statue.png with high resolution textures

generate_3d_model_from_base64

Generate a 3D model from a base64-encoded image.

Parameters:

Parameter

Type

Required

Default

Description

image_base64

string

Yes

-

Base64-encoded image data

image_format

string

Yes

-

Image format: "jpeg", "png", or "webp"

output_path

string

Yes

-

Path for output GLB file

texture_resolution

string

No

"1024"

Texture resolution

foreground_ratio

float

No

0.85

Padding ratio

remesh

string

No

"none"

Remeshing algorithm

vertex_count

int

No

-1

Target vertex count

check_api_balance

Check your Stability AI account credit balance.

API Costs

  • Stable Fast 3D: 10 credits per successful generation

  • Failed generations are not charged

Input Image Guidelines

For best results:

  • Use images with a clear, well-lit subject

  • The object should be centered in the frame

  • Clean backgrounds work better

  • Image dimensions should be between 64×64 and 2048×2048 pixels

  • Total pixel count must be between 4,096 and 4,194,304 pixels

Output Format

The generated 3D model is saved as a GLB file (glTF Binary), which includes:

  • 3D mesh geometry

  • Albedo (color) texture map

  • Normal texture map

GLB files can be viewed in:

  • Windows 3D Viewer

  • Blender

  • Unity/Unreal Engine

  • Most modern web browsers (with appropriate viewers)

Error Handling

The server handles common errors:

  • Missing API key

  • Invalid image formats

  • API rate limiting (150 requests per 10 seconds)

  • File not found errors

  • Network timeouts

License

MIT License

A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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