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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>
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
"""
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Project listing and information resources.
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"""
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import os
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from mcp.server.fastmcp import FastMCP
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from kicad_mcp.utils.file_utils import get_project_files, load_project_json
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def register_project_resources(mcp: FastMCP) -> None:
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"""Register project-related resources with the MCP server.
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Args:
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mcp: The FastMCP server instance
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"""
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@mcp.resource("kicad://project/{project_path}")
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def get_project_details(project_path: str) -> str:
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"""Get details about a specific KiCad project."""
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if not os.path.exists(project_path):
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return f"Project not found: {project_path}"
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try:
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# Load project file
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project_data = load_project_json(project_path)
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if not project_data:
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return f"Error reading project file: {project_path}"
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# Get related files
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files = get_project_files(project_path)
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# Format project details
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result = f"# Project: {os.path.basename(project_path)[:-10]}\n\n"
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result += "## Project Files\n"
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for file_type, file_path in files.items():
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result += f"- **{file_type}**: {file_path}\n"
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result += "\n## Project Settings\n"
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# Extract metadata
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if "metadata" in project_data:
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metadata = project_data["metadata"]
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for key, value in metadata.items():
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result += f"- **{key}**: {value}\n"
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return result
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except Exception as e:
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return f"Error reading project file: {str(e)}"
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