Provides tools for Arduino/embedded development including hardware validation, memory optimization, interrupt safety, timing analysis, and support for multiple Arduino boards (Uno, Mega, Nano, ESP32).
Leverages Babel Parser for JavaScript/TypeScript AST analysis, enabling code pattern detection and analysis.
Offers specialized C++ analysis and development support with focus on embedded systems, memory optimization, and performance analysis.
Supports environment variable configuration management for development setup and deployment.
Provides context-aware code generation for Express framework applications with patterns for repositories, validation, and error handling.
Offers repository history analysis and collaboration metrics to enhance code context and understanding.
Provides full AST analysis with framework detection for JavaScript codebases.
Integrates with Jest for comprehensive testing framework capabilities and test template generation.
Provides Node.js-specific analysis and optimization for server-side JavaScript applications.
Offers comprehensive language support for Python codebases with pattern detection and code analysis.
Provides comprehensive language support for Rust codebases with pattern detection and code analysis.
Offers full AST analysis with framework detection for TypeScript codebases.
MCP Vibe Coding Knowledge Graph
โ ๏ธ ALPHA SOFTWARE - NOT TESTED IN PRODUCTION
This system is in early development phase and has not been thoroughly tested in production environments. Use at your own risk and always maintain proper backups of your code and data.
A comprehensive Model Context Protocol (MCP) server that integrates Vibe Coding methodology with Knowledge Graph technology for AI-assisted software development using Kuzu embedded database.
๐ Features
๐ง Knowledge Graph Intelligence
Kuzu Graph Database: High-performance embedded graph database with Cypher queries
Intelligent Caching: Multi-layer caching system with automatic optimization
Pattern Detection: Advanced design pattern recognition across multiple languages
Technical Debt Analysis: Comprehensive debt detection and remediation tracking
Context-Aware Generation: Code generation based on existing patterns and standards
๐ Multi-Language Code Analysis
JavaScript/TypeScript: Full AST analysis with framework detection
C++/Arduino: Specialized embedded development support
Go, Rust, Python, Java: Comprehensive language support
Git Integration: Repository history analysis and collaboration metrics
Performance Analysis: Memory usage, timing constraints, and optimization
๐ก๏ธ Enterprise Security & Performance
Input Validation: Multi-layer security with injection prevention
Performance Monitoring: Real-time metrics and optimization
Backup & Recovery: Automated backup system with compression
Health Monitoring: Comprehensive system health and alerting
Scalable Architecture: Designed for enterprise-grade deployment
๐ง Arduino/Embedded Development
Hardware Validation: Pin conflict detection and board compatibility
Memory Optimization: RAM, Flash, and EEPROM usage analysis
Interrupt Safety: ISR-safe code generation and validation
Timing Analysis: Real-time constraint validation
Board Support: Arduino Uno, Mega, Nano, ESP32
๐ Prerequisites
Node.js 18+
Kuzu Database (embedded - automatically installed)
๐ง Quick Start
1. Installation
2. Initialize Your Codebase
3. Configure Claude Desktop
Configuration file locations:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows:
%APPDATA%\Claude\claude_desktop_config.json
Linux:
~/.config/Claude/claude_desktop_config.json
Add MCP server configuration:
4. Start Using
๐ฏ Available MCP Tools
๐ Knowledge Graph Management
define_domain_ontology
- Define business entities, rules, and coding standardsget_kg_statistics
- Comprehensive knowledge graph statistics and healthupdate_kg_from_code
- Update graph with new patterns and decisions
๐ Code Analysis & Context
analyze_codebase
- Comprehensive codebase analysis with Git integrationquery_context_for_task
- Find relevant patterns for development tasksextract_context_from_code
- Extract structured information from commentsdetect_technical_debt
- Multi-dimensional technical debt analysis
๐ ๏ธ Code Generation & Validation
generate_code_with_context
- Context-aware code generation with templatessuggest_refactoring
- Intelligent refactoring recommendationsvalidate_against_kg
- Multi-layer code validation against patterns and rules
๐ง Arduino/C++ Development
analyze_arduino_sketch
- Complete Arduino project analysisvalidate_hardware_config
- Pin conflicts and board compatibilityoptimize_for_arduino
- Memory and performance optimizationgenerate_interrupt_safe_code
- ISR-safe code patternsanalyze_timing_constraints
- Real-time timing analysis
โก Performance & Optimization
get_optimization_report
- Comprehensive performance analysisforce_optimization
- Trigger immediate system optimization
๐๏ธ System Architecture
๐งช Testing
๐ Database Schema
Node Types
CodeEntity: Classes, functions, variables with complexity metrics
Pattern: Design patterns (Singleton, Factory, Observer, etc.)
Rule: Business rules and coding standards
Standard: Naming conventions and formatting rules
TechnicalDebt: Identified debt with severity and remediation
HardwareComponent: Arduino pins, sensors, actuators
TimingConstraint: Real-time timing requirements
Relationship Types
IMPLEMENTS: Code implements design pattern
VIOLATES: Code violates rule or standard
DEPENDS_ON: Dependency relationships
COUPLED_WITH: Code coupling analysis
USES_HARDWARE: Hardware component usage
HANDLES: Interrupt handling relationships
๐ Usage Examples
Define Domain Architecture
Analyze Arduino Project
Generate Context-Aware Code
๐ง Development
Environment Setup
Development Commands
Environment Variables
๐ ๏ธ CLI Commands
๐ Troubleshooting
Common Issues
Database Connection Issues:
Memory Issues:
Performance Issues:
Debug Mode
๐ Performance
Response Time: <100ms for simple queries, <5s for complex analysis
Memory Usage: ~50MB baseline, scales with codebase size
Cache Hit Rate: >90% for repeated operations
Concurrent Requests: Supports 100+ simultaneous tool calls
Database Size: ~1MB per 10K lines of analyzed code
๐ค Contributing
Fork the repository
Create feature branch:
git checkout -b feature/amazing-feature
Make changes with proper Vibe Coding comments
Add comprehensive tests
Commit:
git commit -m 'Add amazing feature'
Push:
git push origin feature/amazing-feature
Open Pull Request
Code Standards
Follow Vibe Coding methodology with structured comments
Include AGENT, CONTEXT, REASON, CHANGE, PREVENTION metadata
Maintain >90% test coverage
Use TypeScript for type safety
Follow SOLID principles
๐ License
MIT License - see LICENSE file for details.
๐ Acknowledgments
Model Context Protocol: Foundation for AI-tool integration
Kuzu Database: High-performance embedded graph database
Babel Parser: JavaScript/TypeScript AST analysis
Jest: Comprehensive testing framework
Joi: Schema validation and sanitization
๐ฏ Ready for production โข ๐ Enterprise-grade โข ๐ง AI-powered โข ๐ง Developer-friendly
Built with โค๏ธ for the AI-assisted development community
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A comprehensive Model Context Protocol server that integrates Vibe Coding methodology with Knowledge Graph technology for AI-assisted software development using Kuzu embedded database.
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