# Tapo Cameras MCP - Specialized Monitoring Documentation
## Overview
The `tapo-cameras-mcp` repository is a special monitoring case that requires particularly extensive Grafana dashboards due to its comprehensive home surveillance and security monitoring capabilities. This document provides specialized monitoring documentation, templates, and configurations specifically designed for home security and surveillance systems.
## 🏠 **Special Monitoring Requirements**
### **Dual Architecture Monitoring**
The `tapo-cameras-mcp` repository serves dual purposes requiring specialized monitoring:
1. **🎥 Individual Security Device MCP Servers**: Standalone camera control (Tapo, USB, Ring)
2. **🏠 Unified Security Dashboard**: Multi-MCP orchestration platform
### **Home Surveillance & Security Focus**
Unlike general MCP servers, this repository requires monitoring for:
- **🏠 Home Security Systems**: Cameras, alarms, sensors, and environmental monitors
- **🔋 Energy Monitoring**: Smart plugs, power consumption, and energy efficiency
- **🚨 Alarm Systems**: Nest Protect, Ring alarms, and security event correlation
- **📊 AI-Powered Analytics**: Scene analysis, object detection, and performance analytics
- **📱 Multi-Device Integration**: Cross-system alert analysis and unified monitoring
## 📊 **Specialized Dashboard Requirements**
### **1. Home Security Overview Dashboard**
```json
{
"dashboard": {
"id": null,
"title": "🏠 Home Security Overview",
"tags": ["home-security", "surveillance", "tapo-cameras"],
"style": "dark",
"timezone": "Europe/Vienna",
"refresh": "10s",
"time": {
"from": "now-1h",
"to": "now"
},
"panels": [
{
"id": 1,
"title": "🔒 Security Status Overview",
"type": "stat",
"targets": [
{
"expr": "home_security_cameras_online",
"legendFormat": "Cameras Online",
"refId": "A"
},
{
"expr": "home_security_alarms_active",
"legendFormat": "Active Alarms",
"refId": "B"
},
{
"expr": "home_security_sensors_online",
"legendFormat": "Sensors Online",
"refId": "C"
}
],
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"thresholds": {
"steps": [
{"color": "red", "value": 0},
{"color": "yellow", "value": 1},
{"color": "green", "value": 2}
]
}
}
},
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 0
}
},
{
"id": 2,
"title": "📹 Camera Grid View",
"type": "custom",
"targets": [
{
"expr": "tapo_cameras_status",
"refId": "A"
}
],
"gridPos": {
"h": 12,
"w": 24,
"x": 0,
"y": 8
}
},
{
"id": 3,
"title": "🚨 Security Events Timeline",
"type": "logs",
"targets": [
{
"expr": "{job=\"home-security\", level=\"warning\"}",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 20
}
},
{
"id": 4,
"title": "🔋 Energy Monitoring",
"type": "timeseries",
"targets": [
{
"expr": "tapo_p115_power_consumption_watts",
"legendFormat": "{{device_name}} Power (W)",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 20
}
}
]
}
}
```
### **2. Camera Performance Dashboard**
```json
{
"dashboard": {
"id": null,
"title": "📹 Camera Performance & Health",
"tags": ["cameras", "performance", "health"],
"style": "dark",
"timezone": "Europe/Vienna",
"refresh": "30s",
"time": {
"from": "now-6h",
"to": "now"
},
"panels": [
{
"id": 1,
"title": "🌡️ Camera Temperature",
"type": "timeseries",
"targets": [
{
"expr": "tapo_camera_temperature_celsius",
"legendFormat": "{{camera_name}} Temperature",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "celsius",
"min": 0,
"max": 80,
"thresholds": {
"steps": [
{"color": "green", "value": 0},
{"color": "yellow", "value": 50},
{"color": "red", "value": 65}
]
}
}
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
}
},
{
"id": 2,
"title": "📶 WiFi Signal Strength",
"type": "timeseries",
"targets": [
{
"expr": "tapo_camera_wifi_signal_dbm",
"legendFormat": "{{camera_name}} Signal",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "dBs",
"min": -100,
"max": 0,
"thresholds": {
"steps": [
{"color": "red", "value": -80},
{"color": "yellow", "value": -60},
{"color": "green", "value": -40}
]
}
}
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
}
},
{
"id": 3,
"title": "🎥 Motion Detection Events",
"type": "timeseries",
"targets": [
{
"expr": "rate(tapo_camera_motion_events_total[5m])",
"legendFormat": "{{camera_name}} Motion Rate",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
}
},
{
"id": 4,
"title": "📊 Network Latency",
"type": "timeseries",
"targets": [
{
"expr": "tapo_camera_network_latency_ms",
"legendFormat": "{{camera_name}} Latency",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"min": 0,
"thresholds": {
"steps": [
{"color": "green", "value": 0},
{"color": "yellow", "value": 100},
{"color": "red", "value": 500}
]
}
}
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
}
},
{
"id": 5,
"title": "💾 Storage Usage",
"type": "timeseries",
"targets": [
{
"expr": "tapo_camera_storage_used_percent",
"legendFormat": "{{camera_name}} Storage",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "percent",
"min": 0,
"max": 100,
"thresholds": {
"steps": [
{"color": "green", "value": 0},
{"color": "yellow", "value": 70},
{"color": "red", "value": 90}
]
}
}
},
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 16
}
}
]
}
}
```
### **3. Energy Management Dashboard**
```json
{
"dashboard": {
"id": null,
"title": "🔋 Energy Management & Smart Plugs",
"tags": ["energy", "smart-plugs", "tapo-p115"],
"style": "dark",
"timezone": "Europe/Vienna",
"refresh": "1m",
"time": {
"from": "now-24h",
"to": "now"
},
"panels": [
{
"id": 1,
"title": "⚡ Real-time Power Consumption",
"type": "timeseries",
"targets": [
{
"expr": "tapo_p115_power_consumption_watts",
"legendFormat": "{{device_name}} Power (W)",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "watt",
"min": 0,
"thresholds": {
"steps": [
{"color": "green", "value": 0},
{"color": "yellow", "value": 50},
{"color": "red", "value": 100}
]
}
}
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
}
},
{
"id": 2,
"title": "💰 Daily Energy Cost",
"type": "stat",
"targets": [
{
"expr": "tapo_p115_daily_energy_cost_euros",
"legendFormat": "{{device_name}} Daily Cost",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "currencyEUR",
"decimals": 2
}
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
}
},
{
"id": 3,
"title": "📊 Energy Usage Patterns",
"type": "heatmap",
"targets": [
{
"expr": "tapo_p115_energy_usage_wh",
"legendFormat": "{{device_name}} Energy",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 8
}
},
{
"id": 4,
"title": "🔌 Smart Plug Status",
"type": "table",
"targets": [
{
"expr": "tapo_p115_device_status",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 16
}
}
]
}
}
```
### **4. Alarm System Dashboard**
```json
{
"dashboard": {
"id": null,
"title": "🚨 Alarm System & Sensors",
"tags": ["alarms", "sensors", "nest-protect", "ring"],
"style": "dark",
"timezone": "Europe/Vienna",
"refresh": "10s",
"time": {
"from": "now-1h",
"to": "now"
},
"panels": [
{
"id": 1,
"title": "🔥 Nest Protect Status",
"type": "stat",
"targets": [
{
"expr": "nest_protect_status",
"legendFormat": "{{device_name}} Status",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [
{
"options": {
"0": {"color": "green", "text": "OK"},
"1": {"color": "yellow", "text": "Warning"},
"2": {"color": "red", "text": "Alert"}
},
"type": "value"
}
]
}
},
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 0
}
},
{
"id": 2,
"title": "🚪 Ring Doorbell Status",
"type": "stat",
"targets": [
{
"expr": "ring_doorbell_status",
"legendFormat": "{{device_name}} Status",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 0
}
},
{
"id": 3,
"title": "🔋 Battery Levels",
"type": "timeseries",
"targets": [
{
"expr": "nest_protect_battery_percent",
"legendFormat": "{{device_name}} Battery",
"refId": "A"
},
{
"expr": "ring_doorbell_battery_percent",
"legendFormat": "{{device_name}} Battery",
"refId": "B"
}
],
"fieldConfig": {
"defaults": {
"unit": "percent",
"min": 0,
"max": 100,
"thresholds": {
"steps": [
{"color": "red", "value": 0},
{"color": "yellow", "value": 20},
{"color": "green", "value": 50}
]
}
}
},
"gridPos": {
"h": 8,
"w": 8,
"x": 16,
"y": 0
}
},
{
"id": 4,
"title": "🚨 Security Events",
"type": "logs",
"targets": [
{
"expr": "{job=\"home-security\", level=\"warning\"}",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 8
}
},
{
"id": 5,
"title": "📊 Motion Detection Heatmap",
"type": "heatmap",
"targets": [
{
"expr": "rate(tapo_camera_motion_events_total[5m])",
"legendFormat": "{{camera_name}} Motion",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 16
}
}
]
}
}
```
### **5. AI Analytics Dashboard**
```json
{
"dashboard": {
"id": null,
"title": "🤖 AI Analytics & Scene Analysis",
"tags": ["ai", "analytics", "scene-analysis", "object-detection"],
"style": "dark",
"timezone": "Europe/Vienna",
"refresh": "30s",
"time": {
"from": "now-6h",
"to": "now"
},
"panels": [
{
"id": 1,
"title": "👤 Person Detection",
"type": "timeseries",
"targets": [
{
"expr": "rate(tapo_camera_person_detection_total[5m])",
"legendFormat": "{{camera_name}} Person Detection",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
}
},
{
"id": 2,
"title": "🚗 Vehicle Detection",
"type": "timeseries",
"targets": [
{
"expr": "rate(tapo_camera_vehicle_detection_total[5m])",
"legendFormat": "{{camera_name}} Vehicle Detection",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
}
},
{
"id": 3,
"title": "📊 Scene Analysis Accuracy",
"type": "stat",
"targets": [
{
"expr": "tapo_camera_scene_analysis_accuracy_percent",
"legendFormat": "{{camera_name}} Accuracy",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "percent",
"min": 0,
"max": 100,
"thresholds": {
"steps": [
{"color": "red", "value": 0},
{"color": "yellow", "value": 70},
{"color": "green", "value": 90}
]
}
}
},
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 8
}
},
{
"id": 4,
"title": "🎯 Object Detection Confidence",
"type": "timeseries",
"targets": [
{
"expr": "tapo_camera_object_detection_confidence",
"legendFormat": "{{camera_name}} Confidence",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "percent",
"min": 0,
"max": 100
}
},
"gridPos": {
"h": 8,
"w": 16,
"x": 8,
"y": 8
}
},
{
"id": 5,
"title": "📈 Performance Analytics",
"type": "table",
"targets": [
{
"expr": "tapo_camera_performance_metrics",
"refId": "A"
}
],
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 16
}
}
]
}
}
```
## 🔧 **Specialized Configuration Templates**
### **Docker Compose for Home Security**
```yaml
# docker-compose.yml
version: '3.8'
services:
# Tapo Camera MCP Server
tapo-camera-mcp:
build: .
container_name: tapo-camera-mcp
ports:
- "7777:7777" # Web Dashboard
- "8080:8080" # MCP Server
- "9091:9091" # Prometheus Metrics
environment:
- LOG_LEVEL=INFO
- PROMETHEUS_PORT=9091
- TAPO_USERNAME=${TAPO_USERNAME}
- TAPO_PASSWORD=${TAPO_PASSWORD}
- NEST_PROTECT_TOKEN=${NEST_PROTECT_TOKEN}
- RING_TOKEN=${RING_TOKEN}
volumes:
- ./logs:/app/logs
- ./config:/app/config
- ./monitoring/promtail/promtail.yml:/etc/promtail/config.yml
networks:
- home-security
restart: unless-stopped
depends_on:
- prometheus
- loki
# Prometheus - Metrics collection
prometheus:
image: prom/prometheus:latest
container_name: tapo-prometheus
ports:
- "9090:9090"
volumes:
- ./monitoring/prometheus:/etc/prometheus
- prometheus_data:/prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/etc/prometheus/console_libraries'
- '--web.console.templates=/etc/prometheus/consoles'
- '--storage.tsdb.retention.time=30d'
- '--web.enable-lifecycle'
networks:
- home-security
restart: unless-stopped
# Loki - Log aggregation
loki:
image: grafana/loki:latest
container_name: tapo-loki
ports:
- "3100:3100"
volumes:
- ./monitoring/loki:/etc/loki
- loki_data:/loki
command: -config.file=/etc/loki/local-config.yaml
networks:
- home-security
restart: unless-stopped
# Promtail - Log shipping
promtail:
image: grafana/promtail:latest
container_name: tapo-promtail
volumes:
- ./monitoring/promtail:/etc/promtail
- /var/log:/var/log:ro
- ./logs:/app/logs:ro
command: -config.file=/etc/promtail/config.yml
depends_on:
- loki
networks:
- home-security
restart: unless-stopped
# Grafana - Visualization
grafana:
image: grafana/grafana:latest
container_name: tapo-grafana
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_USER=admin
- GF_SECURITY_ADMIN_PASSWORD=admin
- GF_USERS_ALLOW_SIGN_UP=false
- GF_INSTALL_PLUGINS=grafana-piechart-panel,grafana-worldmap-panel,grafana-heatmap-panel
- GF_SECURITY_ALLOW_EMBEDDING=true
- GF_AUTH_ANONYMOUS_ENABLED=false
volumes:
- grafana_data:/var/lib/grafana
- ./monitoring/grafana/provisioning:/etc/grafana/provisioning
- ./monitoring/grafana/dashboards:/var/lib/grafana/dashboards
networks:
- home-security
restart: unless-stopped
depends_on:
- prometheus
- loki
volumes:
prometheus_data:
loki_data:
grafana_data:
networks:
home-security:
driver: bridge
```
### **Prometheus Configuration for Home Security**
```yaml
# monitoring/prometheus/prometheus.yml
global:
scrape_interval: 15s
evaluation_interval: 15s
external_labels:
cluster: 'home-security-cluster'
environment: 'home'
rule_files:
- "rules/*.yml"
alerting:
alertmanagers:
- static_configs:
- targets:
- alertmanager:9093
timeout: 10s
api_version: v2
scrape_configs:
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']
scrape_interval: 5s
metrics_path: /metrics
- job_name: 'tapo-camera-mcp'
static_configs:
- targets: ['tapo-camera-mcp:9091']
metrics_path: /metrics
scrape_interval: 5s
scrape_timeout: 5s
honor_labels: true
honor_timestamps: true
- job_name: 'node-exporter'
static_configs:
- targets: ['node-exporter:9100']
scrape_interval: 15s
- job_name: 'loki'
static_configs:
- targets: ['loki:3100']
metrics_path: /metrics
scrape_interval: 15s
- job_name: 'grafana'
static_configs:
- targets: ['grafana:3000']
metrics_path: /metrics
scrape_interval: 15s
```
### **Alert Rules for Home Security**
```yaml
# monitoring/prometheus/rules/home-security-alerts.yml
groups:
- name: home-security-alerts
rules:
- alert: CameraOffline
expr: tapo_camera_status != 1
for: 2m
labels:
severity: critical
service: home-security
component: camera
annotations:
summary: "Home security camera {{ $labels.camera_name }} is offline"
description: "Camera {{ $labels.camera_name }} has been offline for more than 2 minutes"
- alert: HighCameraTemperature
expr: tapo_camera_temperature_celsius > 65
for: 1m
labels:
severity: warning
service: home-security
component: camera
annotations:
summary: "Camera {{ $labels.camera_name }} running hot"
description: "Camera temperature is {{ $value }}°C"
- alert: WeakWiFiSignal
expr: tapo_camera_wifi_signal_dbm < -80
for: 5m
labels:
severity: warning
service: home-security
component: network
annotations:
summary: "Weak WiFi signal for camera {{ $labels.camera_name }}"
description: "WiFi signal strength is {{ $value }}dBm"
- alert: MotionDetectionBurst
expr: rate(tapo_camera_motion_events_total[5m]) > 5
for: 30s
labels:
severity: info
service: home-security
component: motion
annotations:
summary: "High motion activity detected"
description: "Camera {{ $labels.camera_name }} detected {{ $value }} motion events per minute"
- alert: NestProtectAlert
expr: nest_protect_status == 2
for: 0s
labels:
severity: critical
service: home-security
component: smoke-detector
annotations:
summary: "Nest Protect alert triggered"
description: "Smoke or CO detector {{ $labels.device_name }} has triggered an alert"
- alert: RingDoorbellBatteryLow
expr: ring_doorbell_battery_percent < 20
for: 5m
labels:
severity: warning
service: home-security
component: doorbell
annotations:
summary: "Ring doorbell battery low"
description: "Doorbell {{ $labels.device_name }} battery is {{ $value }}%"
- alert: HighEnergyConsumption
expr: tapo_p115_power_consumption_watts > 100
for: 10m
labels:
severity: warning
service: home-security
component: energy
annotations:
summary: "High energy consumption detected"
description: "Smart plug {{ $labels.device_name }} is consuming {{ $value }}W"
- alert: StorageSpaceLow
expr: tapo_camera_storage_used_percent > 90
for: 5m
labels:
severity: warning
service: home-security
component: storage
annotations:
summary: "Camera storage space low"
description: "Camera {{ $labels.camera_name }} storage is {{ $value }}% full"
```
## 🚀 **Implementation Guide**
### **1. Setup Home Security Monitoring**
```bash
# Clone the repository
git clone https://github.com/sandraschi/tapo-camera-mcp.git
cd tapo-camera-mcp
# Copy configuration templates
cp monitoring-templates/* monitoring/
# Edit environment variables
cp .env.example .env
# Edit .env with your device credentials
# Start the monitoring stack
docker-compose up -d
```
### **2. Access Services**
- **🏠 Home Security Dashboard**: http://localhost:7777
- **📊 Grafana Dashboards**: http://localhost:3000 (admin/admin)
- **📈 Prometheus Metrics**: http://localhost:9090
- **📝 Loki Logs**: http://localhost:3100
- **🔧 MCP Server**: http://localhost:8080
### **3. Configure Devices**
```yaml
# config.yaml
cameras:
living_room:
type: tapo
host: 192.168.1.100
username: ${TAPO_USERNAME}
password: ${TAPO_PASSWORD}
kitchen:
type: tapo
host: 192.168.1.101
username: ${TAPO_USERNAME}
password: ${TAPO_PASSWORD}
smart_plugs:
kitchen_lights:
type: tapo_p115
host: 192.168.1.102
username: ${TAPO_USERNAME}
password: ${TAPO_PASSWORD}
alarms:
smoke_detector:
type: nest_protect
device_id: ${NEST_PROTECT_DEVICE_ID}
token: ${NEST_PROTECT_TOKEN}
doorbell:
type: ring
device_id: ${RING_DOORBELL_ID}
token: ${RING_TOKEN}
```
## 📊 **Specialized Metrics**
### **Camera Metrics**
```python
# Camera-specific metrics
tapo_camera_status = Gauge('tapo_camera_status', 'Camera online status', ['camera_name', 'camera_id'])
tapo_camera_temperature_celsius = Gauge('tapo_camera_temperature_celsius', 'Camera temperature', ['camera_name', 'camera_id'])
tapo_camera_wifi_signal_dbm = Gauge('tapo_camera_wifi_signal_dbm', 'WiFi signal strength', ['camera_name', 'camera_id'])
tapo_camera_motion_events_total = Counter('tapo_camera_motion_events_total', 'Total motion events', ['camera_name', 'camera_id'])
tapo_camera_person_detection_total = Counter('tapo_camera_person_detection_total', 'Person detection events', ['camera_name', 'camera_id'])
tapo_camera_vehicle_detection_total = Counter('tapo_camera_vehicle_detection_total', 'Vehicle detection events', ['camera_name', 'camera_id'])
tapo_camera_storage_used_percent = Gauge('tapo_camera_storage_used_percent', 'Storage usage percentage', ['camera_name', 'camera_id'])
tapo_camera_network_latency_ms = Histogram('tapo_camera_network_latency_ms', 'Network latency', ['camera_name', 'camera_id'])
```
### **Energy Metrics**
```python
# Energy monitoring metrics
tapo_p115_power_consumption_watts = Gauge('tapo_p115_power_consumption_watts', 'Power consumption in watts', ['device_name', 'device_id'])
tapo_p115_daily_energy_cost_euros = Gauge('tapo_p115_daily_energy_cost_euros', 'Daily energy cost in euros', ['device_name', 'device_id'])
tapo_p115_energy_usage_wh = Counter('tapo_p115_energy_usage_wh', 'Energy usage in watt-hours', ['device_name', 'device_id'])
tapo_p115_device_status = Gauge('tapo_p115_device_status', 'Smart plug status', ['device_name', 'device_id'])
```
### **Alarm Metrics**
```python
# Alarm system metrics
nest_protect_status = Gauge('nest_protect_status', 'Nest Protect status', ['device_name', 'device_id'])
nest_protect_battery_percent = Gauge('nest_protect_battery_percent', 'Nest Protect battery level', ['device_name', 'device_id'])
ring_doorbell_status = Gauge('ring_doorbell_status', 'Ring doorbell status', ['device_name', 'device_id'])
ring_doorbell_battery_percent = Gauge('ring_doorbell_battery_percent', 'Ring doorbell battery level', ['device_name', 'device_id'])
```
## 🔍 **Troubleshooting**
### **Common Issues**
1. **Camera Authentication Failures**
- Check Tapo credentials in environment variables
- Verify camera IP addresses and network connectivity
- Ensure cameras are on the same network
2. **Grafana Dashboard Not Loading**
- Verify data source configuration
- Check Prometheus metrics endpoint
- Ensure proper JSON path expressions
3. **Motion Detection Not Working**
- Verify motion detection is enabled on cameras
- Check camera firmware version
- Ensure proper API permissions
4. **Energy Monitoring Issues**
- Verify Tapo P115 smart plug connectivity
- Check power consumption thresholds
- Ensure proper device configuration
### **Debug Commands**
```bash
# Check camera connectivity
curl http://localhost:8080/api/cameras
# Test metrics endpoint
curl http://localhost:9091/metrics
# Check Grafana data source
curl http://localhost:3000/api/datasources
# View logs
docker-compose logs -f tapo-camera-mcp
docker-compose logs -f prometheus
docker-compose logs -f grafana
```
## 📈 **Performance Optimization**
### **Resource Requirements**
- **Memory**: 4GB minimum for full home security stack
- **CPU**: 2 cores minimum for AI analytics
- **Storage**: 50GB for video storage and metrics
- **Network**: Stable WiFi for camera connectivity
### **Scaling Considerations**
- **Multiple Cameras**: Support for 10+ cameras per instance
- **Historical Data**: 30-day retention for metrics and logs
- **Video Storage**: Local storage with optional cloud backup
- **Mobile Access**: Responsive design for mobile monitoring
## 🎯 **Future Enhancements**
### **Phase 1: Advanced Analytics**
- **AI-powered motion analysis** (person vs. vehicle detection)
- **Behavior pattern recognition** (unusual activity detection)
- **Integration with smart home systems** (lights, alarms)
### **Phase 2: Mobile Integration**
- **Mobile app notifications** via Grafana mobile
- **Push notifications** for security events
- **Remote camera control** via mobile interface
### **Phase 3: Enterprise Features**
- **Multi-tenant support** for apartment buildings
- **Role-based access control** for different users
- **API rate limiting and authentication**
- **Backup and disaster recovery** for metrics data
---
## 🏆 **Conclusion**
The `tapo-cameras-mcp` repository requires specialized monitoring due to its comprehensive home surveillance and security capabilities. This documentation provides:
- **🏠 Specialized dashboards** for home security monitoring
- **📊 Comprehensive metrics** for cameras, energy, and alarms
- **🚨 Advanced alerting** for security events
- **🔋 Energy management** monitoring and optimization
- **🤖 AI analytics** for scene analysis and object detection
The monitoring stack provides complete observability for home security systems while maintaining the flexibility to integrate with other MCP servers and smart home devices.
**Ready for implementation** 🚀
