# MCP Commander - Development Plan & Maturity Roadmap

## Project Overview

**MCP Commander** is a command-line tool designed to manage MCP (Model Context Protocol) servers across different code editors. It provides a unified interface for adding, removing, listing, and monitoring MCP server configurations across Claude Code, Claude Desktop, and Cursor.

## Current State vs Target Maturity

### Maturity Gap Analysis (Based on jira-mcp Standards)

| Component | Current State | Target State | Priority |
|-----------|---------------|--------------|----------|
| **Language & Packaging** | Python 3.6+ | Python 3.8+ with modern tooling | High |
| **Project Structure** | Basic (4 files) | Professional structure with proper directories | High |
| **Testing** | None | Comprehensive test suite (unit/integration/e2e) | Critical |
| **Documentation** | Basic README | Comprehensive docs with examples | High |
| **CI/CD** | None | GitHub Actions with automated testing/releases | High |
| **Code Quality** | Basic | Pre-commit hooks, linting, type checking | High |
| **Error Handling** | Basic | Centralized error handling with user-friendly messages | Medium |
| **Logging** | Print statements | Structured logging with levels | Medium |
| **Configuration** | Simple JSON | Schema validation and environment management | Medium |
| **Packaging** | Manual installation | PyPI package with automated releases | High |
| **Versioning** | None | Semantic versioning with automated changelog | Medium |

## Architecture Transformation Plan

### Phase 1: Foundation & Structure (High Priority)
```
mcpCommander/
├── src/
│   ├── mcpcommander/
│   │   ├── __init__.py
│   │   ├── core/
│   │   │   ├── __init__.py
│   │   │   ├── manager.py          # MCPManager class
│   │   │   ├── config.py           # Configuration handling
│   │   │   └── editor_handlers.py  # Editor-specific logic
│   │   ├── cli/
│   │   │   ├── __init__.py
│   │   │   └── main.py             # CLI interface
│   │   ├── utils/
│   │   │   ├── __init__.py
│   │   │   ├── logger.py           # Structured logging
│   │   │   ├── errors.py           # Error handling
│   │   │   └── validators.py       # Input validation
│   │   └── schemas/
│   │       ├── __init__.py
│   │       └── config_schema.py    # Pydantic schemas
├── tests/
│   ├── __init__.py
│   ├── conftest.py                 # Pytest configuration
│   ├── unit/
│   │   ├── test_manager.py
│   │   ├── test_config.py
│   │   └── test_cli.py
│   ├── integration/
│   │   └── test_editor_integration.py
│   ├── e2e/
│   │   └── test_workflow.py
│   └── fixtures/
│       └── sample_configs.py
├── docs/
│   ├── README.md
│   ├── CONTRIBUTING.md
│   ├── CHANGELOG.md
│   ├── TROUBLESHOOTING.md
│   └── API.md
├── scripts/
│   ├── setup.py
│   ├── release.py
│   └── validate_config.py
├── .github/
│   └── workflows/
│       ├── test.yml
│       ├── release.yml
│       └── quality.yml
├── pyproject.toml              # Modern Python packaging
├── requirements/
│   ├── base.txt
│   ├── dev.txt
│   └── test.txt
├── .pre-commit-config.yaml     # Pre-commit hooks
├── pytest.ini                 # Test configuration
├── .gitignore
└── CLAUDE.md
```

### Phase 2: Modern Python Tooling
- **Packaging**: Migrate to `pyproject.toml` with `setuptools` or `poetry`
- **Type System**: Add comprehensive type hints with `mypy`
- **Dependencies**: Use `pydantic` for configuration validation
- **CLI Framework**: Migrate from `argparse` to `typer` or `click`
- **Logging**: Implement structured logging with `loguru` or standard `logging`

### Phase 3: Quality & Testing Infrastructure
- **Testing Framework**: `pytest` with coverage reporting
- **Test Types**: Unit, integration, and end-to-end tests
- **Mock Framework**: `pytest-mock` for testing external dependencies
- **Pre-commit Hooks**: Automated code quality checks
- **CI/CD Pipeline**: GitHub Actions for testing and releases

### Phase 4: Distribution & Automation
- **PyPI Package**: Automated package publishing
- **GitHub Releases**: Automated release creation with assets
- **Documentation**: Automated documentation generation
- **Version Management**: Semantic versioning with automated changelog

## Technical Implementation Details

### Current Architecture Analysis

#### Strengths to Preserve
- Clean `MCPManager` class design
- Simple JSONPath implementation
- Cross-editor support architecture
- Unified CLI interface concept

#### Components Requiring Transformation

1. **mcp_manager.py** (256 lines) → **src/mcpcommander/core/manager.py**
   - Add type hints and pydantic models
   - Implement centralized error handling
   - Add structured logging
   - Split into focused modules

2. **CLI Interface** → **src/mcpcommander/cli/main.py**
   - Migrate from argparse to typer
   - Add rich console output formatting
   - Implement command context management

3. **Configuration Management** → **src/mcpcommander/core/config.py**
   - Add schema validation with pydantic
   - Environment variable support
   - Configuration migration tools

## JIRA Development Tracking

### Epic: ZDEVOPS-208
**MCP Commander - Cross-Platform MCP Server Management Tool**
- URL: https://braindeadsec.atlassian.net/browse/ZDEVOPS-208

### Updated Stories with Tasks:
1. **ZDEVOPS-209**: Core MCP Server Management Functionality
   - ZDEVOPS-212: Implement MCPManager class with configuration loading
   - ZDEVOPS-213: Add server addition and removal functionality
   - ZDEVOPS-214: Create server listing and status checking features

2. **ZDEVOPS-210**: Command Line Interface and User Experience
   - ZDEVOPS-215: Implement argparse-based CLI interface

3. **ZDEVOPS-211**: Testing and Quality Assurance
   - ZDEVOPS-216: Create unit tests for MCPManager class
   - ZDEVOPS-217: Add integration tests for CLI operations

### Additional Development Tasks Needed
- **Project Structure Modernization**
- **Python Packaging & Distribution Setup**
- **CI/CD Pipeline Implementation**
- **Documentation Enhancement**
- **Type System Implementation**
- **Error Handling Centralization**
- **Logging System Implementation**

## Development Standards (Based on jira-mcp)

### Code Quality Requirements
```python
# Type hints for all public methods
def add_server(
    self,
    server_name: str,
    server_config: Union[str, Dict[str, Any]],
    editor_name: Optional[str] = None
) -> None:
    """Add a server to all editors or a specific editor."""
```

### Error Handling Pattern
```python
from mcpcommander.utils.errors import MCPCommanderError, ConfigurationError

class MCPManager:
    def add_server(self, server_name: str, server_config: str) -> None:
        try:
            # Implementation
            pass
        except Exception as e:
            raise ConfigurationError(f"Failed to add server '{server_name}': {e}") from e
```

### Testing Requirements
- **Unit Tests**: 90%+ coverage on core functionality
- **Integration Tests**: Editor configuration verification
- **E2E Tests**: Complete workflow validation
- **Pre-commit Testing**: Automated test execution

### Documentation Standards
- **README**: Comprehensive with badges, examples, troubleshooting
- **API Documentation**: All public methods documented
- **CHANGELOG**: Keep-a-Changelog format
- **Contributing Guide**: Development setup and guidelines

## Implementation Priorities

### Phase 1 (Critical - Week 1-2)
1. **Project restructuring** to modern Python layout
2. **Core functionality migration** with type hints
3. **Basic test suite implementation**
4. **PyPI packaging setup**

### Phase 2 (High - Week 3-4)
1. **Comprehensive testing suite**
2. **CI/CD pipeline implementation**
3. **Enhanced error handling and logging**
4. **Documentation overhaul**

### Phase 3 (Medium - Week 5-6)
1. **Pre-commit hooks and quality automation**
2. **Advanced configuration validation**
3. **Cross-platform compatibility**
4. **Performance optimizations**

## Success Metrics

### Quality Indicators
- **Test Coverage**: >90% line coverage
- **Type Coverage**: 100% of public API
- **Documentation**: All public methods documented
- **CI/CD**: Automated testing and releases
- **Distribution**: PyPI package available

### Functionality Benchmarks
- **Performance**: <500ms for typical operations
- **Reliability**: Zero critical bugs in core functionality
- **Usability**: Comprehensive help and error messages
- **Compatibility**: Python 3.8+ cross-platform support

---
*Development roadmap created: 2025-08-11*
*Target completion: 6 weeks*
*JIRA Epic: ZDEVOPS-208*
- When you're working with Jira and you create tasks/stories/epics - You also need to link the Tasks to the Epic, not just the Stories.
- When asked to "add a new feature", check if the feature already has a related task, if not, create it.
