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/README.md

@@ -53,17 +53,77 @@ python mcp_server/tools/model_discovery.py examples/test_bracket.sim
 
 ---
 
-### 2. Build Optimization Config (PLANNED)
+### 2. Build Optimization Config (`optimization_config.py`) ✅ IMPLEMENTED
 
-**Purpose**: Generate `optimization_config.json` from natural language requirements.
+**Purpose**: Generate `optimization_config.json` from user selections of objectives, constraints, and design variables.
 
-**Function**: `build_optimization_config(requirements: str, model_info: Dict) -> Dict[str, Any]`
+**Functions**:
+- `build_optimization_config(...)` - Create complete optimization configuration
+- `list_optimization_options(sim_file_path)` - List all available options for a model
+- `format_optimization_options_for_llm(options)` - Format options as Markdown
 
-**Planned Features**:
-- Parse LLM instructions ("minimize stress while reducing mass")
-- Select appropriate result extractors
-- Suggest reasonable parameter bounds
-- Generate complete config for optimization engine
+**What it does**:
+- Discovers available design variables from the FEA model
+- Lists available objectives (minimize mass, stress, displacement, volume)
+- Lists available constraints (max stress, max displacement, mass limits)
+- Builds a complete `optimization_config.json` based on user selections
+- Validates that all selections are valid for the model
+
+**Usage Example**:
+```python
+from mcp_server.tools import build_optimization_config, list_optimization_options
+
+# Step 1: List available options
+options = list_optimization_options("examples/bracket/Bracket_sim1.sim")
+print(f"Available design variables: {len(options['available_design_variables'])}")
+
+# Step 2: Build configuration
+result = build_optimization_config(
+    sim_file_path="examples/bracket/Bracket_sim1.sim",
+    design_variables=[
+        {'name': 'tip_thickness', 'lower_bound': 15.0, 'upper_bound': 25.0},
+        {'name': 'support_angle', 'lower_bound': 20.0, 'upper_bound': 40.0}
+    ],
+    objectives=[
+        {'objective_key': 'minimize_mass', 'weight': 5.0},
+        {'objective_key': 'minimize_max_stress', 'weight': 10.0}
+    ],
+    constraints=[
+        {'constraint_key': 'max_displacement_limit', 'limit_value': 1.0},
+        {'constraint_key': 'max_stress_limit', 'limit_value': 200.0}
+    ],
+    optimization_settings={
+        'n_trials': 150,
+        'sampler': 'TPE'
+    }
+)
+
+if result['status'] == 'success':
+    print(f"Config saved to: {result['config_file']}")
+```
+
+**Command Line Usage**:
+```bash
+python mcp_server/tools/optimization_config.py examples/bracket/Bracket_sim1.sim
+```
+
+**Available Objectives**:
+- `minimize_mass`: Minimize total mass (weight reduction)
+- `minimize_max_stress`: Minimize maximum von Mises stress
+- `minimize_max_displacement`: Minimize maximum displacement (increase stiffness)
+- `minimize_volume`: Minimize total volume (material usage)
+
+**Available Constraints**:
+- `max_stress_limit`: Maximum allowable von Mises stress
+- `max_displacement_limit`: Maximum allowable displacement
+- `min_mass_limit`: Minimum required mass (structural integrity)
+- `max_mass_limit`: Maximum allowable mass (weight budget)
+
+**Output**: Creates `optimization_config.json` with:
+- Design variable definitions with bounds
+- Multi-objective configuration with weights
+- Constraint definitions with limits
+- Optimization algorithm settings (trials, sampler)
 
 ---
 
@@ -218,4 +278,4 @@ These tools are designed to be called by the MCP server and consumed by LLMs. Th
 ---
 
 **Last Updated**: 2025-11-15
-**Status**: Phase 1 (Model Discovery) ✅ COMPLETE
+**Status**: Phase 1 (Model Discovery) ✅ COMPLETE | Phase 2 (Optimization Config Builder) ✅ COMPLETE