# MCP Server Management Specification

## Overview

This specification provides a comprehensive blueprint for implementing MCP (Model Context Protocol) server management in the existing interface. The design leverages the current architecture while adding powerful new capabilities for managing MCP servers.

## Current Architecture Analysis

### Existing Foundation
- **MCP Integration**: `core/llm/mcp_integration.py` provides basic MCP functionality
- **Modal System**: Robust modal UI framework in `core/ui/` with renderer, state management, and actions
- **Plugin System**: Extensible plugin architecture with registry and factory patterns
- **Command System**: Flexible command execution and menu rendering capabilities
- **Configuration Management**: JSON-based configuration system with loader and manager services

### Key Components Identified
1. **Modal Overlay System**: `modal_overlay_renderer.py`, `modal_state_manager.py`
2. **Widget System**: UI components in `core/ui/widgets/`
3. **Command Registry**: `core/commands/registry.py` and `executor.py`
4. **Plugin Framework**: `core/plugins/` with discovery, factory, and registry
5. **LLM Integration**: `core/llm/` with existing MCP support

## MCP Server Management System Design

### 1. Core MCP Manager Component

#### `core/mcp/manager.py`
```python
class MCPServerManager:
    """
    Central management component for MCP server lifecycle,
    configuration, and status monitoring.
    """
    
    def __init__(self, config_manager, event_bus, logger):
        self.servers = {}  # Active server instances
        self.configs = {}  # Server configurations
        self.status = {}   # Real-time status information
        self.metrics = {}  # Performance and usage metrics
        
    async def start_server(self, server_id: str) -> bool:
        """Start an MCP server instance"""
        
    async def stop_server(self, server_id: str) -> bool:
        """Stop an MCP server instance"""
        
    async def restart_server(self, server_id: str) -> bool:
        """Restart an MCP server instance"""
        
    def get_server_status(self, server_id: str) -> dict:
        """Get current status of a server"""
        
    def get_all_servers_status(self) -> dict:
        """Get status of all configured servers"""
        
    async def add_server_config(self, config: dict) -> str:
        """Add new server configuration"""
        
    async def update_server_config(self, server_id: str, config: dict) -> bool:
        """Update existing server configuration"""
        
    async def remove_server_config(self, server_id: str) -> bool:
        """Remove server configuration"""
        
    def get_server_logs(self, server_id: str, lines: int = 100) -> list:
        """Retrieve server logs"""
        
    def get_server_metrics(self, server_id: str) -> dict:
        """Get performance metrics for a server"""
```

### 2. MCP Configuration System

#### `core/mcp/config.py`
```python
class MCPServerConfig:
    """
    Configuration management for MCP servers with validation
    and persistence capabilities.
    """
    
    def __init__(self, config_path: str = "mcp_servers.json"):
        self.config_path = config_path
        self.servers = {}
        
    def load_config(self) -> dict:
        """Load MCP server configurations from file"""
        
    def save_config(self) -> bool:
        """Save current configurations to file"""
        
    def validate_config(self, config: dict) -> tuple[bool, list[str]]:
        """Validate server configuration"""
        
    def get_server_template(self, server_type: str) -> dict:
        """Get configuration template for server type"""
        
    def add_server(self, server_id: str, config: dict) -> bool:
        """Add new server configuration"""
        
    def update_server(self, server_id: str, config: dict) -> bool:
        """Update server configuration"""
        
    def remove_server(self, server_id: str) -> bool:
        """Remove server configuration"""
        
    def list_servers(self) -> list[str]:
        """List all configured servers"""
        
    def get_server(self, server_id: str) -> dict:
        """Get specific server configuration"""
```

### 3. MCP Status Monitoring

#### `core/mcp/monitor.py`
```python
class MCPServerMonitor:
    """
    Real-time monitoring and health checking for MCP servers
    with metrics collection and alerting.
    """
    
    def __init__(self, manager, event_bus):
        self.manager = manager
        self.event_bus = event_bus
        self.health_checks = {}
        self.metrics_history = {}
        
    async def start_monitoring(self):
        """Start continuous monitoring of all servers"""
        
    async def stop_monitoring(self):
        """Stop monitoring all servers"""
        
    async def check_server_health(self, server_id: str) -> dict:
        """Perform health check on specific server"""
        
    async def collect_metrics(self, server_id: str) -> dict:
        """Collect performance metrics for server"""
        
    def get_health_status(self, server_id: str) -> str:
        """Get health status (healthy, warning, critical)"""
        
    def get_metrics_history(self, server_id: str, hours: int = 24) -> list:
        """Get historical metrics data"""
        
    def set_alert_thresholds(self, server_id: str, thresholds: dict):
        """Configure alerting thresholds"""
        
    def get_alerts(self, server_id: str = None) -> list:
        """Get active alerts"""
```

### 4. MCP Modal Interface Components

#### `core/ui/mcp_modal.py`
```python
class MCPServerModal:
    """
    Modal interface for MCP server management with
    interactive controls and real-time status display.
    """
    
    def __init__(self, manager, monitor, renderer):
        self.manager = manager
        self.monitor = monitor
        self.renderer = renderer
        
    def render_server_list(self) -> str:
        """Render list of configured servers with status"""
        
    def render_server_details(self, server_id: str) -> str:
        """Render detailed server information"""
        
    def render_server_logs(self, server_id: str) -> str:
        """Render server logs with filtering"""
        
    def render_metrics_dashboard(self, server_id: str) -> str:
        """Render performance metrics dashboard"""
        
    def render_config_editor(self, server_id: str = None) -> str:
        """Render configuration editor interface"""
        
    def handle_input(self, key: str, context: dict) -> dict:
        """Handle user input for modal interactions"""
        
    def get_action_menu(self) -> list:
        """Get available actions for current context"""
```

### 5. MCP Command Integration

#### `core/commands/mcp_commands.py`
```python
class MCPCommandRegistry:
    """
    Command registry for MCP server management operations
    integrated with the existing command system.
    """
    
    def __init__(self, manager, monitor):
        self.manager = manager
        self.monitor = monitor
        
    def register_commands(self, registry):
        """Register MCP management commands"""
        registry.register("mcp.list", self.cmd_list_servers)
        registry.register("mcp.start", self.cmd_start_server)
        registry.register("mcp.stop", self.cmd_stop_server)
        registry.register("mcp.restart", self.cmd_restart_server)
        registry.register("mcp.status", self.cmd_server_status)
        registry.register("mcp.logs", self.cmd_server_logs)
        registry.register("mcp.config", self.cmd_server_config)
        registry.register("mcp.metrics", self.cmd_server_metrics)
        
    async def cmd_list_servers(self, args):
        """List all configured MCP servers"""
        
    async def cmd_start_server(self, args):
        """Start specified MCP server"""
        
    async def cmd_stop_server(self, args):
        """Stop specified MCP server"""
        
    async def cmd_restart_server(self, args):
        """Restart specified MCP server"""
        
    async def cmd_server_status(self, args):
        """Get status of MCP server"""
        
    async def cmd_server_logs(self, args):
        """Show logs for MCP server"""
        
    async def cmd_server_config(self, args):
        """Manage server configuration"""
        
    async def cmd_server_metrics(self, args):
        """Show server performance metrics"""
```

### 6. MCP Plugin Integration

#### `plugins/mcp_management_plugin.py`
```python
class MCPManagementPlugin:
    """
    Plugin that integrates MCP server management
    into the main application interface.
    """
    
    def __init__(self):
        self.name = "mcp_management"
        self.version = "1.0.0"
        self.description = "MCP Server Management Plugin"
        
    async def initialize(self, context):
        """Initialize plugin with application context"""
        self.manager = MCPServerManager(
            context.config_manager,
            context.event_bus,
            context.logger
        )
        self.monitor = MCPServerMonitor(self.manager, context.event_bus)
        self.modal = MCPServerModal(self.manager, self.monitor, context.modal_renderer)
        
    async def start(self):
        """Start plugin services"""
        await self.monitor.start_monitoring()
        
    async def stop(self):
        """Stop plugin services"""
        await self.monitor.stop_monitoring()
        
    def get_commands(self) -> dict:
        """Get plugin-provided commands"""
        return {
            "mcp": "Open MCP server management interface",
            "mcp-status": "Show MCP server status overview",
            "mcp-logs": "View MCP server logs"
        }
        
    def get_keybindings(self) -> dict:
        """Get plugin keybindings"""
        return {
            "Ctrl+M": "open_mcp_management",
            "Ctrl+Shift+M": "show_mcp_status"
        }
```

## User Interface Design

### 1. Main MCP Management Modal

#### Layout Structure
```
┌─────────────────────────────────────────────────────────────┐
│                     MCP Server Management                    │
├─────────────────────┬───────────────────────────────────────┤
│  Server List        │  Server Details                       │
│  [🟢] server1       │  Status: Running                      │
│  [🔴] server2       │  Uptime: 2h 34m                       │
│  [🟡] server3       │  CPU: 15% | Memory: 128MB            │
│  [⚪] server4       │  Requests: 1,234                     │
│                     │                                       │
│  Actions:          │  Recent Logs:                         │
│  [N] New Server     │  10:23:45 Started successfully       │
│  [R] Refresh        │  10:24:01 Handling request           │
│  [Q] Quit           │  10:24:15 Request completed          │
│                     │                                       │
│                     │  Actions:                            │
│                     │  [S] Start/Stop  [R] Restart          │
│                     │  [C] Config     [L] Logs              │
│                     │  [M] Metrics    [X] Remove            │
└─────────────────────┴───────────────────────────────────────┘
```

### 2. Configuration Editor Modal

#### Layout Structure
```
┌─────────────────────────────────────────────────────────────┐
│                   MCP Server Configuration                  │
├─────────────────────────────────────────────────────────────┤
│ Server ID: [new_server_____________]                        │
│ Server Type: [stdio▼]                                      │
│                                                             │
│ Command:     [/usr/local/bin/mcp-server________________]   │
│ Args:        [--port 8080 --debug_______________________]   │
│ Working Dir: [/opt/mcp/servers___________________________]   │
│                                                             │
│ Environment Variables:                                     │
│ [+] API_KEY=secret_key                                    │
│ [+] LOG_LEVEL=info                                        │
│ [+] TIMEOUT=30                                            │
│                                                             │
│ Auto-start: [X] Enable on startup                          │
│ Health Check: [X] Enable monitoring                        │
│                                                             │
│ Actions:                                                   │
│ [S] Save  [T] Test  [C] Cancel  [H] Help                   │
└─────────────────────────────────────────────────────────────┘
```

### 3. Metrics Dashboard Modal

#### Layout Structure
```
┌─────────────────────────────────────────────────────────────┐
│                    MCP Server Metrics                       │
├─────────────────────────────────────────────────────────────┤
│ Server: server1 (🟢 Running)                                │
│                                                             │
│ Performance (Last 24h):                                    │
│ │ CPU Usage:    ████▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ 15%          │
│ │ Memory:      █████▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ 128MB        │
│ │ Requests:    ███▁▁▁▁████▁▁▁▁████▁▁▁▁████▁▁▁▁ 1,234     │
│ │ Latency:     ██▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ 45ms        │
│                                                             │
│ Current Statistics:                                         │
│ │ Uptime:         2h 34m 12s                               │
│ │ Total Requests: 1,234                                    │
│ │ Error Rate:     0.2% (3 errors)                          │
│ │ Avg Response:   45ms                                     │
│ │ Active Conns:   12                                       │
│                                                             │
│ Health Status: 🟢 Healthy                                   │
│ Last Check: 2 seconds ago                                  │
│                                                             │
│ Actions: [R] Refresh  [E] Export  [H] History  [C] Close   │
└─────────────────────────────────────────────────────────────┘
```

## Configuration Schema

### MCP Server Configuration Format
```json
{
  "servers": {
    "server1": {
      "id": "server1",
      "name": "Primary MCP Server",
      "type": "stdio",
      "enabled": true,
      "auto_start": true,
      "command": "/usr/local/bin/mcp-server",
      "args": ["--port", "8080", "--debug"],
      "working_dir": "/opt/mcp/servers",
      "environment": {
        "API_KEY": "secret_key",
        "LOG_LEVEL": "info",
        "TIMEOUT": "30"
      },
      "health_check": {
        "enabled": true,
        "interval": 30,
        "timeout": 10,
        "endpoint": "/health"
      },
      "monitoring": {
        "enabled": true,
        "metrics_interval": 60,
        "log_level": "info",
        "max_log_size": "100MB"
      },
      "limits": {
        "max_memory": "512MB",
        "max_cpu": "80%",
        "max_connections": 100,
        "request_timeout": 30
      }
    }
  },
  "global": {
    "default_server_type": "stdio",
    "auto_start_enabled": true,
    "monitoring_enabled": true,
    "log_retention_days": 30,
    "metrics_retention_days": 7,
    "backup_configs": true,
    "backup_interval_hours": 24
  }
}
```

## Integration Points

### 1. Event Bus Integration
```python
# Events published by MCP system
"mcp.server.started"      # Server started successfully
"mcp.server.stopped"      # Server stopped
"mcp.server.failed"       # Server failed to start/stop
"mcp.server.health_check" # Health check results
"mcp.server.metrics"      # Metrics update
"mcp.config.updated"      # Configuration updated
"mcp.alert.triggered"     # Alert triggered
```

### 2. Configuration Manager Integration
```python
# Extend existing config manager
config_manager.register_config_type(
    "mcp_servers",
    MCPServerConfig,
    "mcp_servers.json"
)
```

### 3. Modal System Integration
```python
# Register MCP modal with modal system
modal_registry.register(
    "mcp_management",
    MCPServerModal,
    priority=100,
    keybinding="Ctrl+M"
)
```

### 4. Command System Integration
```python
# Register MCP commands
command_registry.register_namespace(
    "mcp",
    MCPCommandRegistry(manager, monitor)
)
```

## Implementation Roadmap

### Phase 1: Core Infrastructure (Week 1-2)
1. **MCPServerManager**: Basic server lifecycle management
2. **MCPServerConfig**: Configuration management system
3. **Basic Modal Interface**: Simple server list and status display
4. **Command Integration**: Basic MCP commands

### Phase 2: Monitoring and Metrics (Week 3-4)
1. **MCPServerMonitor**: Health checking and metrics collection
2. **Enhanced Modal**: Real-time status updates and metrics display
3. **Alert System**: Threshold-based alerting
4. **Log Management**: Server log collection and display

### Phase 3: Advanced Features (Week 5-6)
1. **Configuration Editor**: Interactive config editing interface
2. **Metrics Dashboard**: Comprehensive performance visualization
3. **Advanced Commands**: Bulk operations, filtering, searching
4. **Plugin Integration**: Full plugin system integration

### Phase 4: Polish and Optimization (Week 7-8)
1. **Performance Optimization**: Efficient monitoring and updates
2. **Error Handling**: Robust error recovery and reporting
3. **Documentation**: User guides and API documentation
4. **Testing**: Comprehensive test coverage

## Testing Strategy

### Unit Tests
- MCPServerManager functionality
- Configuration validation and persistence
- Health checking logic
- Metrics collection and processing

### Integration Tests
- Modal interface interactions
- Command execution and responses
- Event bus integration
- Plugin system integration

### End-to-End Tests
- Complete server management workflows
- Configuration editing and validation
- Monitoring and alerting scenarios
- Performance under load

## Security Considerations

### Configuration Security
- Sensitive data encryption (API keys, passwords)
- Configuration file permissions
- Environment variable handling

### Runtime Security
- Server process isolation
- Resource limits and monitoring
- Access control and permissions

### Network Security
- Secure communication channels
- Authentication and authorization
- Audit logging

## Performance Requirements

### Response Times
- Server status updates: < 100ms
- Modal rendering: < 50ms
- Configuration operations: < 200ms
- Health checks: < 5s

### Resource Usage
- Memory overhead: < 50MB per monitored server
- CPU usage: < 5% during normal operation
- Disk usage: Configurable log/metrics retention

### Scalability
- Support for 50+ concurrent servers
- Efficient monitoring with minimal overhead
- Graceful degradation under load

## Error Handling and Recovery

### Server Management Errors
- Failed to start server: retry logic with exponential backoff
- Server crash detection: automatic restart with notification
- Configuration validation: clear error messages and suggestions

### Monitoring Errors
- Health check failures: alerting and automatic recovery attempts
- Metrics collection errors: graceful degradation with logging
- Resource exhaustion: protection mechanisms and alerts

### User Interface Errors
- Invalid input: validation with helpful error messages
- Modal state corruption: automatic recovery and state reset
- Rendering issues: fallback interfaces and error reporting

## Monitoring and Observability

### Metrics Collection
- Server uptime and availability
- Request/response statistics
- Resource usage (CPU, memory, disk)
- Error rates and patterns
- Performance metrics (latency, throughput)

### Logging
- Structured logging with consistent format
- Log levels and filtering capabilities
- Log rotation and retention policies
- Centralized log aggregation

### Alerting
- Configurable thresholds for all metrics
- Multiple alert channels (in-app, email, webhook)
- Alert suppression and grouping
- Alert history and reporting

## Documentation Requirements

### User Documentation
- MCP Server Management Guide
- Configuration Reference
- Troubleshooting Guide
- API Documentation

### Developer Documentation
- Architecture Overview
- Integration Guide
- Extension Points
- Testing Procedures

### Operations Documentation
- Deployment Guide
- Monitoring Setup
- Backup and Recovery
- Security Configuration

## Success Criteria

### Functional Requirements
- [ ] Complete server lifecycle management (start/stop/restart)
- [ ] Real-time status monitoring and health checks
- [ ] Interactive configuration management
- [ ] Comprehensive metrics collection and display
- [ ] Robust error handling and recovery
- [ ] Seamless integration with existing interface

### Non-Functional Requirements
- [ ] Responsive user interface (< 100ms response time)
- [ ] Efficient resource usage (< 50MB overhead per server)
- [ ] High availability (99.9% uptime for management system)
- [ ] Comprehensive test coverage (> 90% code coverage)
- [ ] Complete documentation for all components
- [ ] Security compliance with best practices

### User Experience Requirements
- [ ] Intuitive modal interface with clear navigation
- [ ] Real-time updates and visual feedback
- [ ] Contextual help and error messages
- [ ] Keyboard shortcuts for power users
- [ ] Consistent with existing application design
- [ ] Accessible and inclusive design

## Conclusion

This specification provides a comprehensive blueprint for implementing MCP server management within the existing interface. The design leverages the current architecture's strengths while adding powerful new capabilities for managing MCP servers. The implementation is planned in phases to ensure steady progress and thorough testing at each stage.

The system will provide users with a complete solution for MCP server management, from basic lifecycle operations to advanced monitoring and configuration management. The integration with existing modal, command, and plugin systems ensures a seamless user experience that's consistent with the rest of the application.

By following this specification, the implementation will deliver a robust, scalable, and user-friendly MCP server management system that meets all functional and non-functional requirements.
