feat: Add MCP build_optimization_config tool

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>

mcp_server/tools/__init__.py

@@ -13,11 +13,18 @@ Available tools:
 
 from typing import Dict, Any
 from .model_discovery import discover_fea_model, format_discovery_result_for_llm
+from .optimization_config import (
+    build_optimization_config,
+    list_optimization_options,
+    format_optimization_options_for_llm
+)
 
 __all__ = [
     "discover_fea_model",
     "format_discovery_result_for_llm",
     "build_optimization_config",
+    "list_optimization_options",
+    "format_optimization_options_for_llm",
     "start_optimization",
     "query_optimization_status",
     "extract_results",