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Layer.ai MCP Server

A Model Context Protocol (MCP) server for generating game assets using Layer.ai's AI platform. Generate sprites, characters, backgrounds, and other 2D assets directly from your development environment.

Made with AI - Use with caution

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Features

  • Asset Generation: Generate 2D game assets using Layer.ai Forge

  • Prompt Optimization: Optimize prompts with Layer.ai Prompt Genie

  • Usage Tracking: Monitor usage against free tier limits (600 assets)

  • Workspace Management: Export and manage workspace data

  • Asset Refinement: Refine and modify existing assets

  • Auto-Save: Automatically save generated assets to your project

  • Error Handling: Robust error handling with automatic retries

  • Quota Protection: Prevents exceeding your free tier limit

Installation

Prerequisites

  • Python 3.10+ (required for MCP compatibility)

  • Git for cloning the repository

  • Layer.ai account and API token

# Clone the repository git clone https://github.com/bahadirbklg/layer-ai-mcp-server.git cd layer-ai-mcp-server # Run the installation script chmod +x install.sh ./install.sh

Manual Installation

# Clone the repository git clone https://github.com/bahadirbklg/layer-ai-mcp-server.git cd layer-ai-mcp-server # Create virtual environment (recommended) python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install --upgrade pip pip install -r requirements.txt # Create assets directory mkdir -p assets # Set up credentials python layer-mcp-server/setup.py

Installation Options

  • Production: pip install -r requirements.min.txt (core dependencies only)

  • Development: pip install -r requirements.dev.txt (includes testing and linting tools)

  • Full: pip install -r requirements.txt (recommended for most users)

Verify Installation

Test your installation to make sure everything is working:

# Run the installation test python3 verify-install.py

This will check:

  • Python version compatibility (3.10+)

  • All required dependencies are installed

  • Project files are in place

  • Main server can be imported successfully

Configuration

Environment Variables

Create a .env file or set environment variables:

# Required: Your Layer.ai API token LAYER_API_TOKEN=pat_your_token_here # Optional: API base URL (defaults to https://api.layer.ai) LAYER_API_BASE_URL=https://api.layer.ai # Optional: Usage tracking file (defaults to .layer_usage.json) LAYER_USAGE_FILE=.layer_usage.json # Optional: Default save directory (defaults to ./assets) LAYER_DEFAULT_SAVE_DIR=./assets # Optional: Default workspace ID LAYER_WORKSPACE_ID=your_workspace_id

Getting Your API Token

  1. Sign up at Layer.ai

  2. Go to your account settings

  3. Generate a new API token (starts with pat_)

  4. Copy the token to your .env file

MCP Client Configuration

For Kiro IDE

Add to your MCP client configuration:

{ "mcpServers": { "layer-ai-comprehensive": { "command": "python", "args": ["layer-mcp-server/server.py"], "env": { "LAYER_API_TOKEN": "pat_your_token_here", "LAYER_WORKSPACE_ID": "your_workspace_id" }, "disabled": false, "timeout": 180, "autoApprove": [ "create_asset", "remove_background", "describe_image", "generate_prompt", "get_workspace_info" ] } } }

For Claude Desktop

Add to your Claude Desktop MCP configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "layer-ai": { "command": "python", "args": ["path/to/layer-mcp-server/server.py"], "env": { "LAYER_API_TOKEN": "pat_your_token_here", "LAYER_WORKSPACE_ID": "your_workspace_id" } } } }

Usage

Available Tools

1. create_asset - Generate Assets

Generate sprites, characters, backgrounds, and other assets.

Parameters:

  • prompt (required): Description of the asset to generate

  • generation_type (optional): CREATE, UPSCALE, etc.

  • width/height (optional): Output dimensions (default: 512x512)

  • quality (optional): LOW, MEDIUM, HIGH (default: HIGH)

  • transparency (optional): Enable transparent backgrounds

  • save_path (optional): Local path to save the asset

Example:

{ "prompt": "A cute pixel art character for a platformer game", "generation_type": "CREATE", "width": 512, "height": 512, "transparency": true, "save_path": "./sprites/player_character.png" }

2. get_workspace_info - Check Status

Get information about your Layer.ai workspace and available features.

3. remove_background - Background Removal (In Development)

Remove backgrounds from existing images using AI.

4. describe_image - Image Analysis (In Development)

Get AI-generated descriptions of images.

5. generate_prompt - Prompt Optimization (In Development)

Optimize your prompts using Layer.ai's Prompt Genie.

Usage Examples

Generate a Game Sprite

# Create a transparent character sprite create_asset( prompt="fantasy warrior character, pixel art, 64x64, RPG game", generation_type="CREATE", width=64, height=64, transparency=True, save_path="./assets/warrior_sprite.png" )

Create a Tileable Texture

# Generate seamless stone texture create_asset( prompt="medieval stone brick wall, seamless texture", generation_type="CREATE", width=256, height=256, tileability=True, save_path="./assets/stone_texture.png" )

Project Structure

layer-ai-mcp-server/ ├── layer-mcp-server/ │ ├── server.py # Main MCP server │ ├── auth.py # Authentication & token management │ ├── setup.py # Interactive credential setup │ ├── api-docs.md # API documentation │ ├── mcp-config.md # MCP configuration guide │ ├── security.md # Security documentation │ └── pyproject.toml # Package configuration ├── assets/ # Generated assets (auto-created) ├── README.md # Main documentation ├── .gitignore # Git ignore patterns ├── requirements.txt # Core dependencies ├── requirements.min.txt # Minimal dependencies ├── requirements.dev.txt # Development dependencies ├── install.sh # Installation script ├── verify-install.py # Installation verification ├── setup.py # Package setup └── LICENSE # MIT License

Issues & Bug Tracking

Open Issues

High Priority

  • [BUG-001] Timeout issues with complex asset generation (>60s)

    • Status: RESOLVED (Fixed with 180s timeout in MCP config)

    • Solution: Added "timeout": 180 to MCP server configuration

    • Date: 2025-08-15

Medium Priority

  • [FEATURE-001] Background removal feature not implemented

    • Status: IN PROGRESS

    • Description: remove_background tool returns "implementation in progress"

    • Date: 2025-08-15

  • [FEATURE-002] Image description feature not implemented

    • Status: IN PROGRESS

    • Description: describe_image tool returns "implementation in progress"

    • Date: 2025-08-15

  • [FEATURE-003] Prompt generation feature not implemented

    • Status: IN PROGRESS

    • Description: generate_prompt tool returns "implementation in progress"

    • Date: 2025-08-15

Known Limitations

  1. Free Tier Limits: 600 assets per month on free tier

  2. File Size Limits: Large assets (>10MB) may have slower processing

  3. Network Dependency: Requires stable internet connection for Layer.ai API

  4. Python Version: Requires Python 3.10+ for full compatibility

Feature Requests

  • 3D Asset Generation: Support for generating 3D models and textures

  • Animation Support: Generate sprite animations and sequences

  • Style Transfer: Apply artistic styles to existing assets

  • Bulk Operations: Process multiple assets simultaneously

  • Asset Versioning: Track and manage different versions of assets

Troubleshooting

Common Issues

"Invalid API token"

  • Check your .env file has the correct LAYER_API_TOKEN

  • Ensure the token starts with pat_

  • Verify the token is valid in your Layer.ai account

"Quota exceeded"

  • Check usage with get_workspace_info tool

  • You've reached the 600 asset limit for free tier

  • Consider upgrading your Layer.ai plan

"Network errors"

  • Check your internet connection

  • Verify Layer.ai API is accessible

  • The server automatically retries failed requests

"MCP connection issues"

  • Ensure you're running the server correctly

  • Check MCP client configuration

  • Review server logs for detailed error messages

"Timeout errors"

  • Increase timeout in MCP configuration: "timeout": 180

  • Complex assets may take 30-60 seconds to generate

  • Check network stability for long-running operations

"Installation errors"

  • Python version: Ensure you have Python 3.10+ (python3 --version)

  • Virtual environment: Use a virtual environment to avoid conflicts

  • Permissions: On Linux/macOS, you may need chmod +x install.sh

  • Dependencies: Try pip install --upgrade pip before installing requirements

  • MCP compatibility: Some older Python versions may have MCP compatibility issues

"Import errors"

  • Missing dependencies: Run pip install -r requirements.txt again

  • Virtual environment: Make sure your virtual environment is activated

  • Path issues: Ensure you're running from the correct directory

  • Token manager: If token_manager import fails, run the setup script

Issue Reporting Template

When reporting new issues, please use this format:

**[TYPE-###]** Brief description - **Status**: NEW/IN PROGRESS/RESOLVED - **Priority**: High/Medium/Low - **Description**: Detailed description of the issue - **Steps to Reproduce**: 1. Step one 2. Step two 3. Expected vs actual result - **Environment**: - OS: [Windows/macOS/Linux] - Python version: [3.x.x] - MCP Client: [Claude Desktop/Other] - **Date**: YYYY-MM-DD

Issue Types:

  • BUG - Something is broken

  • FEATURE - New functionality needed

  • ENHANCEMENT - Improvement to existing feature

  • DOCS - Documentation issue

  • PERFORMANCE - Performance problem

Security

This project uses secure credential management:

  • AES-256 Encryption: API tokens encrypted at rest

  • PBKDF2 Key Derivation: Secure key generation

  • File Permissions: Restricted access (600)

  • No Version Control Exposure: Credentials never committed

License

MIT License - see LICENSE file for details.

Contributing

  1. Fork the repository

  2. Create a feature branch

  3. Add tests for new functionality

  4. Submit a pull request


Made with AI - Use with caution

Start generating amazing assets for your projects with Layer.ai!

-
security - not tested
A
license - permissive license
-
quality - not tested

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