# Storm Logger MCP Development Server

## Overview

This MCP server provides comprehensive development tools for Storm Logger project development, following enterprise-grade patterns and standards. Designed to accelerate development while maintaining the highest quality standards for the $10M revenue target.

## 🏗️ New Modular Architecture

The MCP server has been completely refactored into a clean, modular architecture:

- **main.py**: Thin API layer (531 lines, down from 4,656 lines - 88.6% reduction!)
- **context_logic/**: Business logic modules for specific domains
- **context_data/**: Data structures and templates organized by functionality
- **Separation of Concerns**: Clear boundaries between API, logic, and data

### Architecture Benefits
- **Maintainability**: Easy to locate and modify specific functionality
- **Testability**: Business logic can be unit tested independently
- **Scalability**: Easy to add new features without bloating main.py
- **Readability**: Clear API contract and well-organized modules

## 🛠️ Three Essential Tools

### 1. `storm_python_quality_enforcer`
**Purpose**: Comprehensive code quality enforcement using Storm Logger's exact standards

**Features**:
- **Ruff + Black + isort**: 100-char line length, force-single-line imports
- **MyPy**: Strict type checking with comprehensive annotations
- **Custom rules**: Storm Logger's 4-section import organization
- **Business context**: Generate professional docstrings with business value
- **Auto-fix**: Automatically fix issues when requested
- **Elicitation**: Interactive parameter collection for missing inputs

**Usage**:
```python
# Via MCP client
storm_python_quality_enforcer(
    file_path="./my_project/",
    quality_level="standard",
    fix_automatically=True
)
```

### 2. `storm_dependency_architect`
**Purpose**: Intelligent dependency management following Storm Logger's layered approach

**Features**:
- **Smart requirements.txt**: Core + optional dependencies structure
- **Version strategies**: Exact, compatible, latest pinning
- **Security scanning**: Safety, bandit, pip-audit integration
- **Enterprise features**: Cloud integrations, performance tiers
- **Business intelligence**: Track dependency costs and performance
- **Elicitation**: Interactive dependency management

**Usage**:
```python
# Via MCP client
storm_dependency_architect(
    action="add",
    package_name="fastapi",
    environment="production",
    dependency_strategy="compatible"
)
```

### 3. `storm_enterprise_scaffolder`
**Purpose**: Generate complete project structures using Storm Logger architecture

**Features**:
- **Modular structure**: core/, console/, integrations/, utils/ pattern
- **Configuration**: Dataclass-based config with environment variables
- **Documentation**: Auto-generate README.md, CLAUDE.md, and GEMINI.md files
- **Testing**: pytest with 90% coverage requirements
- **GitLab CI**: Complete pipeline with parallel testing
- **Docker**: Optional containerization support
- **Elicitation**: Interactive project setup

**Usage**:
```python
# Via MCP client
storm_enterprise_scaffolder(
    project_name="my_enterprise_app",
    project_type="fastapi",
    business_domain="ecommerce",
    include_ci_cd=True,
    include_docker=True
)
```

## 📚 Supporting Resources

### 1. `storm-python-dev://coding-standards/templates`
- Storm Logger coding standards templates
- Import organization patterns (4-section structure)
- Google-style docstrings with business context
- Configuration management templates
- Error handling patterns

### 2. `storm-python-dev://quality-tools/configurations`
- Pre-configured pyproject.toml files
- GitLab CI/CD pipeline templates
- Pre-commit hooks configuration
- Quality tool settings (Black, Ruff, MyPy, isort)

### 3. `storm-python-dev://dependency-management/strategies`
- Layered dependency approach
- Version pinning strategies
- Security scanning procedures
- Requirements.txt structure patterns

## 🎯 Strategic Prompts

### 1. `python_project_setup_guide`
Generate comprehensive project setup guides following Storm Logger patterns:

**Parameters**:
- `project_type`: package, django, fastapi, flask, script, general
- `business_domain`: Business context for the project
- `complexity_level`: simple, standard, enterprise

**Output**: Complete step-by-step setup guide with:
- Project structure recommendations
- Quality standards implementation
- Business intelligence integration
- CI/CD pipeline setup
- Security and performance considerations

### 2. `code_review_checklist`
Generate comprehensive code review checklists:

**Parameters**:
- `project_type`: Type of project being reviewed
- `review_type`: quick, standard, comprehensive
- `business_domain`: Business context

**Output**: Detailed checklist covering:
- Code quality standards (formatting, types, docs)
- Architecture and design patterns
- Testing excellence (90% coverage)
- Security and performance
- Business domain compliance
- CI/CD and DevOps readiness

### 3. `refactoring_strategy`
Generate comprehensive refactoring strategies:

**Parameters**:
- `code_complexity`: Current complexity level
- `business_domain`: Business context
- `target_improvement`: Primary improvement goal

**Output**: Detailed refactoring plan with:
- Storm Logger architecture patterns
- Phase-by-phase implementation plan
- Business domain integration
- Risk management strategies
- Testing and validation approaches

## 🚀 Key Features

### Enterprise-Grade Standards
- **100-character line length**: Consistent with Storm Logger
- **Force single-line imports**: Clean import organization
- **Strict type checking**: MyPy with comprehensive annotations
- **90% test coverage**: Quality assurance requirement
- **Business-oriented docstrings**: Professional documentation

### GitLab CI/CD Integration
- **Multi-Python testing**: Python 3.10, 3.11, 3.12
- **Quality gates**: Formatting, linting, type checking
- **Security scanning**: Bandit, safety, pip-audit
- **Parallel execution**: Optimized pipeline performance
- **Deployment automation**: Staging and production

### Business Intelligence
- **Revenue tracking**: Built-in business metrics
- **Performance monitoring**: Enterprise-grade observability
- **Compliance support**: GDPR, SOC2, industry standards
- **Scalability design**: Built for $10M revenue target
- **Professional reporting**: Business-friendly outputs

## 📁 File Structure

```
_mcp/
├── README.md                    # This file
├── __init__.py                  # Package initialization
├── main.py                      # Main MCP server with health checks
├── health_check.py              # Health check system framework
├── health_cli.py                # Command-line health checker
├── context_logic/               # Business logic modules
│   ├── __init__.py
│   ├── test_analysis.py         # Test failure analysis logic
│   ├── test_patterns.py         # Test pattern suggestion logic
│   ├── test_enhancement.py      # Test script enhancement logic
│   ├── mcp_operations.py        # MCP component creation logic
│   ├── workflow_optimization.py # Workflow optimization logic
│   ├── gitlab_operations.py     # GitLab pipeline/security logic
│   ├── code_refactoring.py      # Code refactoring operations
│   ├── compliance_reporting.py  # Compliance and reporting
│   ├── coverage_analysis.py     # Coverage analysis tools
│   ├── coverage_reporting.py    # Coverage reporting system
│   ├── development_workflow.py  # Development workflow optimization
│   ├── documentation_generation.py # Documentation generation
│   ├── pattern_management.py    # Pattern management system
│   ├── pipeline_optimization.py # Pipeline optimization logic
│   ├── project_management.py    # Project management tools
│   ├── regex_analysis.py        # Regex pattern analysis
│   ├── security_analysis.py     # Security analysis tools
│   └── test_generation.py       # Test generation system
├── context_data/                # Data structures and templates
│   ├── __init__.py
│   ├── project_data.py          # Project metadata
│   ├── workflow_guides.py       # Testing workflow guides
│   ├── test_patterns_data.py    # Test patterns data
│   ├── gitlab_templates.py      # GitLab CI/CD templates
│   ├── security_compliance.py   # Security configurations
│   └── deployment_strategies.py # Deployment strategy data
├── servers/                     # Individual MCP servers
│   ├── __init__.py
│   ├── core.py                  # Core server functionality
│   ├── coverage.py              # Coverage analysis server
│   ├── testing.py               # Testing tools server
│   ├── security.py              # Security analysis server
│   ├── patterns.py              # Pattern management server
│   ├── gitlab.py                # GitLab operations server
│   └── python.py                # Python development server
├── monitoring/                  # Monitoring and analytics
│   ├── __init__.py
│   ├── metrics_collector.py     # Metrics collection system
│   ├── performance_monitor.py   # Performance monitoring
│   └── dashboard.py             # Real-time monitoring dashboard
├── launch_production.py         # Production launcher
├── launch_development.py        # Development launcher
├── launch_daemon.py             # Daemon launcher
├── launch.sh                    # Universal launcher script
└── templates.py                 # MCP component templates
```

## 🔧 Installation and Setup

1. **Install Dependencies**:
```bash
pip install fastmcp typing-extensions
```

2. **Configure MCP Client**:
```json
{
  "mcpServers": {
    "storm-logger-dev": {
      "command": "python",
      "args": ["_mcp/main.py"],
      "env": {}
    },
    "storm-python-dev": {
      "command": "python",
      "args": ["_mcp/python_dev_tools.py"],
      "env": {}
    }
  }
}
```

3. **Production Deployment**:
```bash
# Production mode with monitoring
python _mcp/launch_production.py

# Development mode with interactive features
python _mcp/launch_development.py

# Daemon mode for background operation
python _mcp/launch_daemon.py

# Universal launcher script
./_mcp/launch.sh production
```

4. **Health Check System**:
```bash
# Check health of all servers
python _mcp/health_cli.py

# Test with MCP integration
./test.sh --mcp
```

5. **Test Tools**:
```bash
# Test quality enforcer
storm_python_quality_enforcer(file_path="./storm_logger/", quality_level="standard")

# Test dependency architect
storm_dependency_architect(action="analyze", project_root=".")

# Test enterprise scaffolder
storm_enterprise_scaffolder(project_name="test_project", project_type="package")
```

## 💡 Usage Examples

### Quality Enforcement
```python
# Enforce Storm Logger standards on entire project
result = storm_python_quality_enforcer(
    file_path="./my_project/",
    quality_level="strict",
    fix_automatically=True
)
print(result)  # Detailed quality report with fixes applied
```

### Dependency Management
```python
# Add FastAPI with Storm Logger patterns
result = storm_dependency_architect(
    action="add",
    package_name="fastapi[all]",
    environment="production",
    dependency_strategy="compatible"
)
print(result)  # Dependency report with recommendations
```

### Project Scaffolding
```python
# Create enterprise FastAPI project
result = storm_enterprise_scaffolder(
    project_name="storm_ecommerce_api",
    project_type="fastapi",
    business_domain="ecommerce",
    include_ci_cd=True,
    include_docker=True
)
print(result)  # Complete project structure report
```

## 🏆 Storm Logger Patterns Implemented

### Architecture Patterns
- **Configuration Management**: Dataclass-based with environment variables
- **Interface Segregation**: Clear interfaces for different concerns
- **Dependency Injection**: Configuration-driven behavior
- **Factory Pattern**: Instance creation with proper initialization
- **Strategy Pattern**: Configurable algorithms and behaviors
- **Health Check System**: Comprehensive health monitoring for all servers
- **Microservice Architecture**: Modular server design with individual health checks

### Code Quality Standards
- **Import Organization**: 4-section pattern (stdlib, third-party, local, types)
- **Type Safety**: Comprehensive type hints for all public APIs
- **Documentation**: Google-style docstrings with business context
- **Error Handling**: Business-oriented exception hierarchy
- **Testing**: 90% coverage with multiple test types
- **Health Monitoring**: Built-in health checks for all components

### Business Intelligence
- **Revenue Tracking**: Built-in business metrics collection
- **Performance Monitoring**: Enterprise-grade observability with real-time dashboard
- **Compliance**: GDPR, SOC2, industry standards support
- **Scalability**: Designed for $10M revenue target
- **Professional Reporting**: Business-friendly outputs
- **Enterprise Readiness**: Comprehensive scoring and monitoring
- **Real-time Analytics**: Live monitoring dashboard with business intelligence

### Health Check System
- **Server Health Monitoring**: All 7 servers report health status
- **Performance Metrics**: Response time, request count, success rates
- **Business Intelligence**: Enterprise readiness scoring
- **Alert System**: Performance threshold monitoring with alerting
- **Real-time Dashboard**: Web-based monitoring interface
- **Automated Testing**: Integration with test runner for health validation

## 🔮 Future Enhancements

- **AI-Powered Code Review**: Automated code review with Storm Logger patterns
- **Performance Profiling**: Built-in performance analysis tools
- **Security Hardening**: Advanced security scanning and recommendations
- **Cloud Integration**: Direct integration with AWS, Azure, GCP
- **Team Collaboration**: Enhanced team development workflows
- **Distributed Architecture**: Multi-node MCP server deployment
- **Advanced Analytics**: Machine learning-based performance optimization
- **Enterprise Integration**: LDAP, SSO, and enterprise security features

## 🔧 Monitoring and Health Check System

### Health Check Framework
The MCP server includes a comprehensive health check system that monitors all server components:

```python
# Health check all servers
from _mcp.health_check import MCPHealthChecker

checker = MCPHealthChecker()
health_status = checker.check_all_servers()
print(f"Overall health: {health_status}")
```

### Real-time Monitoring Dashboard
Access real-time monitoring at `/dashboard` when running in production mode:

- **System Overview**: Total servers, health percentage, request counts
- **Performance Metrics**: Response times, success rates, error rates
- **Business Intelligence**: Enterprise readiness, revenue impact scores
- **Alert Management**: Active alerts, performance thresholds
- **Server Details**: Individual server health and metrics

### Performance Monitoring
Advanced performance monitoring with threshold-based alerting:

```python
# Configure performance thresholds
from _mcp.monitoring import performance_monitor

performance_monitor.update_threshold(
    'response_time',
    warning_threshold=1.0,
    critical_threshold=5.0
)
```

### Metrics Collection
Comprehensive metrics collection for business intelligence:

```python
# Record business events
from _mcp.monitoring import metrics_collector

metrics_collector.record_business_event(
    'feature_usage',
    {'feature': 'test_generation', 'user': 'developer'}
)
```

## 📊 Health Check System Details

### Server Health Status
- **Coverage Server**: 6 tools, health check enabled
- **Testing Server**: 6 tools, health check enabled
- **Security Server**: 6 tools, health check enabled
- **Patterns Server**: 7 tools, health check enabled
- **GitLab Server**: 7 tools, health check enabled
- **Python Server**: 8 tools, health check enabled
- **Core Server**: 8 tools, health check enabled

### Health Check Tools
Each server includes a `health_check()` tool that reports:
- Server operational status
- Tools availability
- Module functionality
- Response time
- Timestamp

### Integration with Test Runner
The health check system integrates with the test runner:

```bash
# Run tests with MCP health validation
./test.sh --mcp
```

### Production Deployment
Multiple deployment options for production environments:

```bash
# Production mode with full monitoring
python _mcp/launch_production.py

# Development mode with interactive features
python _mcp/launch_development.py

# Daemon mode for background operation
python _mcp/launch_daemon.py

# Universal launcher with all modes
./_mcp/launch.sh production
```

---

⚡ **Storm Logger Python Development Tools**  
🏆 **Enterprise-Grade Development Acceleration**  
💰 **Built for $10M Revenue Success**  

*Ready to transform your Python development workflow with Storm Logger's proven patterns!*