Initial commit: NX OptiMaster project structure

- 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>

mcp_server/__init__.py

@@ -0,0 +1,8 @@
+"""
+NX OptiMaster MCP Server
+
+Model Context Protocol server for LLM-driven NX optimization configuration.
+"""
+
+__version__ = "0.1.0"
+__author__ = "Atomaste"

mcp_server/tools/__init__.py

@@ -0,0 +1,23 @@
+"""
+MCP Tools for NX OptiMaster
+
+Available tools:
+- discover_fea_model: Analyze .sim files to extract configurable elements
+- build_optimization_config: Generate optimization config from LLM instructions
+- start_optimization: Launch optimization run
+- query_optimization_status: Get current iteration status
+- extract_results: Parse FEA result files
+- run_nx_journal: Execute NXOpen scripts
+- search_nxopen_docs: Search NXOpen API documentation
+"""
+
+from typing import Dict, Any
+
+__all__ = [
+    "discover_fea_model",
+    "build_optimization_config",
+    "start_optimization",
+    "query_optimization_status",
+    "extract_results",
+    "run_nx_journal",
+]