Constellation Composition Server

MCP server that translates astronomical constellation patterns into compositional parameters for AI image generation.

Features

• 22 major constellations with geometric and mythological metadata
• Zero-LLM-cost deterministic mapping from star patterns to focal points
• Mythology integration for thematic guidance
• Multiple output formats (JSON and Markdown)
• Canvas scaling from 512x512 to 4096x4096 pixels

Installation

pip install -e ".[dev]"

Usage

As MCP Server

Add to Claude Desktop configuration:

{
  "mcpServers": {
    "constellation-composition": {
      "command": "constellation-composition-mcp"
    }
  }
}

Programmatically

from constellation_composition_mcp.server import (
    generate_constellation_composition,
    search_constellations
)

# Search for constellations
results = await search_constellations(query="hunting")

# Generate composition
composition = await generate_constellation_composition(
    constellation_name="Orion",
    canvas_width=1920,
    canvas_height=1080
)

Available Tools

1. search_constellations - Search by theme, shape, or brightness
2. generate_constellation_composition - Map constellation to composition parameters
3. list_all_constellations - Browse all available constellations

Development

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
./tests/run_tests.sh

# Format code
black src/ tests/
ruff check src/ tests/

Documentation

See docs/ directory for detailed documentation:

• Architecture overview
• Integration examples
• Constellation database reference

License

MIT License - See LICENSE file for details

Author

Dal Marsters - Lushy.app