Transform the project documentation from technical specs to an engaging
story that demonstrates the revolutionary capabilities we've built:
## New README Highlights
### 🎯 Story-Driven Approach
- Leads with the vision: "What if AI could design circuits for you?"
- Shows real conversation examples with AI automation
- Demonstrates complete workflows from concept to production
- Uses narrative to explain complex technical achievements
### 🌟 Key Sections
- **The Revolution**: Before/after comparison showing transformation
- **Real Examples**: Actual conversation flows showing AI automation
- **Technology Stack**: Clear explanation of integrated technologies
- **The Experience**: Complete workflow from natural language to PCB
- **Technical Deep Dive**: Architecture for developers
- **Performance Metrics**: Real benchmarks and quality scores
### 💡 Engaging Features
- Emoji-driven visual hierarchy for easy scanning
- Real conversation examples showing AI interactions
- Step-by-step workflow demonstrations
- Community-focused contribution guidelines
- Future roadmap with exciting developments
### 🚀 Impact
- Positions KiCad MCP as revolutionary EDA automation platform
- Shows progression from simple file analysis to complete automation
- Demonstrates real-world applications for different user types
- Establishes vision for future of AI-driven electronic design
This README transforms technical documentation into compelling narrative
that shows visitors exactly what makes this project revolutionary and
how it can transform their electronic design workflow.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit introduces a new circuit pattern recognition system that can
automatically identify common circuit patterns in KiCad schematics, including:
- Power supply circuits (linear regulators, switching converters)
- Amplifier circuits (op-amps, transistor amplifiers)
- Filter circuits (passive and active)
- Oscillator circuits (crystal, RC, IC-based)
- Digital interfaces (I2C, SPI, UART, USB)
- Microcontroller circuits
- Sensor interfaces
The implementation includes:
- Pattern recognition algorithms for common components
- Component value extraction and normalization utilities
- MCP tools for running pattern analysis
- MCP resources for displaying formatted results
- Comprehensive documentation
Users can easily extend the pattern recognition by adding new component
patterns or circuit recognition functions.
- Implement schematic netlist parser with S-expression parsing
- Create netlist tools for extraction and connection analysis
- Add resources for netlist and component connection reporting
- Include documentation with usage guide and troubleshooting
- Register new tools and resources in server configuration
This enables extracting component connections from KiCad schematics
and analyzing connectivity between components.
- Added environment variable support for configuring KiCad project search paths
- Implemented auto-detection of common project directories (~/pcb, ~/Electronics, etc.)
- Created .env file support for user-friendly configuration
- Added utility module for environment variable loading and management
- Updated documentation with detailed configuration options and troubleshooting steps
- Improved logging to help diagnose path-related issues
- Removed hardcoded paths to make the MCP server more generally usable
Implements a more reliable PCB thumbnail generation feature using two methods:
- Primary: pcbnew Python module for high-quality rendering
- Fallback: pcbnew_cli for environments without Python modules
Adds detailed progress reporting and comprehensive error handling.
Includes documentation in docs/thumbnail_guide.md.
This commit implements comprehensive DRC support including:
- DRC check tool integration with both pcbnew Python module and CLI fallback
- Detailed DRC reports as resources with violation categorization
- Historical tracking of DRC results with visual trend analysis
- Comparison between current and previous DRC runs
- New prompt templates for fixing violations and custom design rules
- Full documentation in drc_guide.md
The DRC system helps users track their progress over time, focusing on the
most critical design rule violations as they improve their PCB designs.
