Add intelligent analysis and recommendation tools for KiCad designs:
## New AI Tools (kicad_mcp/tools/ai_tools.py)
- suggest_components_for_circuit: Smart component suggestions based on circuit analysis
- recommend_design_rules: Automated design rule recommendations for different technologies
- optimize_pcb_layout: PCB layout optimization for signal integrity, thermal, and cost
- analyze_design_completeness: Comprehensive design completeness analysis
## Enhanced Utilities
- component_utils.py: Add ComponentType enum and component classification functions
- pattern_recognition.py: Enhanced circuit pattern analysis and recommendations
- netlist_parser.py: Implement missing parse_netlist_file function for AI tools
## Key Features
- Circuit pattern recognition for power supplies, amplifiers, microcontrollers
- Technology-specific design rules (standard, HDI, RF, automotive)
- Layout optimization suggestions with implementation steps
- Component suggestion system with standard values and examples
- Design completeness scoring with actionable recommendations
## Server Integration
- Register AI tools in FastMCP server
- Integrate with existing KiCad utilities and file parsers
- Error handling and graceful fallbacks for missing data
Fixes ImportError that prevented server startup and enables advanced
AI-powered design assistance for KiCad projects.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement proper context management in the KiCad MCP server:
Add dedicated context.py with typed KiCadAppContext class
Convert tools to access context instead of parameters
Implement caching for thumbnails
Add proper cleanup of resources on shutdown
Improve error handling with cancellation support
