# Next Step Plan: Health Check System Implementation

## Current System Status ✅

### 🎉 **FULLY OPERATIONAL SYSTEM**
- **Main Server**: ✅ Creates successfully
- **All 7 Server Modules**: ✅ Working perfectly (100% success rate)
- **Tool Availability**: ✅ 17+ tools across all servers
- **Context Logic**: ✅ All modules functional (49+ functions)
- **Import System**: ✅ All imports resolved
- **FastMCP API**: ✅ Compatibility issues resolved

### 📊 **System Stats**
- **Working Servers**: 7/7 (100%)
- **Working Context Modules**: 4/4 (100%)
- **Available Tools**: 17+ tools
- **Available Functions**: 49+ functions

## Next Priority: Health Check System (Step 05)

### 🎯 **Why Health Check is Critical**
1. **Production Readiness**: System needs health monitoring
2. **Test Integration**: Required for test.sh integration
3. **Monitoring Foundation**: Basis for all monitoring systems
4. **User Feedback**: Provides clear system status

### 🔧 **What We Need to Build**

#### 1. **Health Check Framework**
```python
# _mcp/health_check.py
class MCPHealthChecker:
    def check_server_health(self, server_name) -> HealthResult
    def check_all_servers() -> List[HealthResult]
    def get_overall_status() -> HealthStatus
```

#### 2. **Individual Server Health Checks**
Add to each server module:
```python
@server.tool()
def health_check() -> Dict:
    return {
        "status": "healthy",
        "checks": {"imports": "ok", "tools": "ok"},
        "timestamp": "2025-01-18T..."
    }
```

#### 3. **Main Server Health Coordinator**
```python
@server.tool()
def health_check() -> Dict:
    # Coordinate health checks across all servers
    return {
        "overall_status": "healthy",
        "servers": [...],
        "summary": {...}
    }
```

#### 4. **Health Check CLI Tool**
```python
# _mcp/health_cli.py
def main():
    # Command-line health check tool
    # Returns appropriate exit codes
```

### 📋 **Implementation Plan**

#### **Phase 1: Core Health Check Framework (30 minutes)**
1. Create `_mcp/health_check.py` with core classes
2. Implement `MCPHealthChecker` class
3. Define health check data structures
4. Test basic framework

#### **Phase 2: Server Health Check Tools (45 minutes)**
1. Add health check tool to each of 7 server modules
2. Implement basic health validation for each server
3. Test individual server health checks
4. Verify all servers report health status

#### **Phase 3: Main Server Integration (30 minutes)**
1. Add health check coordinator to main server
2. Implement overall system health aggregation
3. Test complete health check system
4. Verify health status reporting

#### **Phase 4: CLI Tool and Integration (15 minutes)**
1. Create health check CLI tool
2. Test CLI tool functionality
3. Prepare for test.sh integration
4. Document health check usage

### 🎯 **Success Criteria**
- [ ] All 7 servers have health check tools
- [ ] Main server coordinates health checks
- [ ] CLI tool works and returns proper exit codes
- [ ] Health check system is fast (< 2 seconds)
- [ ] System ready for test.sh integration

### 🚀 **Expected Outcomes**
After Step 05 completion:
- Complete health monitoring system
- All servers report health status
- CLI tool for easy health checking
- Foundation for test integration
- System ready for production monitoring

### ⚡ **Quick Start Commands**
```bash
# Test current system
python _mcp/server_runner.py

# After Step 05:
python _mcp/health_cli.py
./test.sh --mcp-health
```

## Risk Assessment

### 🟢 **Low Risk**
- Health check framework implementation
- Individual server health tools
- CLI tool creation

### 🟡 **Medium Risk**
- Health check performance optimization
- Integration with main server
- Async health check coordination

### 🔴 **High Risk**
- None identified - system is stable

## Resource Requirements

### ⏱️ **Time Estimate**
- **Total Time**: 2 hours
- **Phase 1**: 30 minutes
- **Phase 2**: 45 minutes  
- **Phase 3**: 30 minutes
- **Phase 4**: 15 minutes

### 🛠️ **Dependencies**
- ✅ Working server modules (complete)
- ✅ FastMCP API compatibility (complete)
- ✅ Context logic modules (complete)
- ✅ Python package structure (complete)

### 📊 **Complexity Level**
- **Low-Medium**: Straightforward implementation
- **Well-defined requirements**: Clear success criteria
- **Stable foundation**: All dependencies working

## Next Actions

### 🎯 **Immediate (Next 30 minutes)**
1. Start Step 05 implementation
2. Create health check framework
3. Test basic health check functionality

### 📅 **Short Term (Next 2 hours)**
1. Complete health check system
2. Test all components
3. Create CLI tool
4. Update documentation

### 🔮 **Medium Term (Next 4 hours)**
1. Integrate with test.sh (Step 07)
2. Add production monitoring (Step 09)
3. Complete system validation (Step 10)

The system is in excellent shape and ready for the health check implementation phase!