Integrate OP2 data extraction with optimization config builder:
- Add build_optimization_config() MCP tool
- Add list_optimization_options() helper
- Add format_optimization_options_for_llm() formatter
- Update MCP tools documentation with full API details
- Test with bracket example, generates valid config
Features:
- Discovers design variables from FEA model
- Lists 4 available objectives (mass, stress, displacement, volume)
- Lists 4 available constraints (stress/displacement/mass limits)
- Validates user selections against model
- Generates complete optimization_config.json
Tested with examples/bracket/Bracket_sim1.sim:
- Found 4 design variables (support_angle, tip_thickness, p3, support_blend_radius)
- Created config with 2 objectives, 2 constraints, 150 trials
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Set up Python package structure with pyproject.toml
- Created MCP server, optimization engine, and NX journals modules
- Added configuration templates
- Implemented pluggable result extractor architecture
- Comprehensive README with architecture overview
- Project ready for GitHub push
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
