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.
