Ryan Malloy bc0f3db97c
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Implement comprehensive AI/LLM integration for KiCad MCP server
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>
2025-08-11 16:15:58 -06:00
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