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>
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>
• Replace deprecated `lifespan_kwargs=` with functools.partial
• Drop extra asyncio layer – call `server.run()` directly
• Add missing `functools` import
Now `python -m kicad_mcp.server` and `kicad-mcp` block and run cleanly.
- Add PathValidator class for preventing path traversal attacks
- Add SecureSubprocessRunner for safe command execution
- Replace unsafe XML parsing with defusedxml for security
- Add comprehensive input validation tools for circuit generation
- Include security dependencies (defusedxml, bandit) in pyproject.toml
- Add security scanning job to CI/CD pipeline
- Add comprehensive test coverage for security utilities
- Add timeout constants for safe operation limits
- Add boundary validation for component positioning
This establishes a strong security foundation for the KiCad MCP server
by implementing defense-in-depth security measures across all input
vectors and external process interactions.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add GitHub Actions CI/CD workflow with multi-OS testing (Ubuntu, macOS)
- Add pyproject.toml for modern Python packaging with hatchling
- Add pre-commit hooks for code quality (ruff, mypy, trailing whitespace)
- Add Makefile for common development tasks (install, test, lint, format, build)
- Add run_tests.py script for comprehensive test execution
- Update requirements.txt with development dependencies
- Update .gitignore for modern Python tooling (uv, ruff, pytest)
- Add KiCad-specific ignore patterns for backup files
This establishes a robust development workflow with:
- Automated testing on Python 3.10, 3.11, 3.12
- Code formatting and linting with ruff
- Type checking with mypy
- Coverage reporting with pytest-cov
- Package building with uv
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Update imports from 'mcp.server.fastmcp' to 'fastmcp' per FastMCP 2.0 migration
- Add pyproject.toml for modern Python packaging with hatchling build backend
- Implement missing server lifecycle functions: main(), setup_logging(), cleanup_handler()
- Add async main() entry point for proper server execution
- Update main.py to use async server execution pattern
- Add fastmcp>=0.1.0 dependency to replace legacy mcp server imports
This establishes the foundation for all subsequent feature additions and ensures
compatibility with modern MCP clients and development workflows.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix open_project tool for Linux compatibility (uses xdg-open).
- Force DRC tool to use kicad-cli due to kipy import errors, ensuring reliability.
- Correct thumbnail generation to use svg export via kicad-cli instead of unsupported png.
- Save generated thumbnails directly into the project directory.
- Remove debug logging added during troubleshooting.
- Update .gitignore to correctly ignore the .venv directory.
- Remove mcp.dev usage from documentation as a method for running the server.
- Remove obsolete python_path.py utility and deleted test file.
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
