TailscaleMCP

# Tailscale MCP Monitoring Stack Documentation This directory contains comprehensive documentation for the Tailscale MCP monitoring stack, including Grafana, Prometheus, and Loki for complete observability. ## 📚 Documentation Structure ### TailscaleMCP Specific Documentation - **[README.md](README.md)** - This overview document - **[Architecture.md](Architecture.md)** - System architecture and component relationships - **[Grafana.md](Grafana.md)** - Grafana configuration and dashboard documentation - **[Prometheus.md](Prometheus.md)** - Prometheus metrics collection and configuration - **[Loki.md](Loki.md)** - Log aggregation and analysis with Loki - **[Deployment.md](Deployment.md)** - Deployment guide and best practices ### General MCP Monitoring Standards - **[MCP_MONITORING_STANDARDS.md](MCP_MONITORING_STANDARDS.md)** - Comprehensive monitoring standards and patterns for all heavyweight MCP servers - **[MONITORING_TEMPLATES.md](MONITORING_TEMPLATES.md)** - Reusable templates and configurations for implementing monitoring ### Specialized Monitoring Cases - **[TAPO_CAMERAS_MCP_MONITORING.md](TAPO_CAMERAS_MCP_MONITORING.md)** - Specialized monitoring documentation for home surveillance and security systems - **[TAPO_CAMERAS_DASHBOARD_TEMPLATES.md](TAPO_CAMERAS_DASHBOARD_TEMPLATES.md)** - Specialized Grafana dashboard templates for home security monitoring ### Mobile Monitoring Integration - **[REBOOTX_INTEGRATION.md](REBOOTX_INTEGRATION.md)** - Mobile infrastructure monitoring with RebootX app for iPad ## 🏗️ Monitoring Stack Overview The Tailscale MCP monitoring stack provides comprehensive observability through: ## 📊 Repository Analysis Based on analysis of existing repositories, the following MCP servers have monitoring implementations: ### 🟢 **Production-Ready Monitoring Stack** - **VeoGen** - Complete observability stack with Grafana, Prometheus, Loki, Alertmanager - **Tailscale-MCP** - Full monitoring with 4 Grafana dashboards, structured logging - **Ring-MCP** - Comprehensive monitoring with security camera dashboards - **DockerMCP** - Complete monitoring stack with backup automation ### 🟡 **Partial Monitoring Implementation** - **AvatarMCP** - Basic Prometheus/Loki setup - **HandbrakeMCP** - Grafana + Prometheus configuration - **MCP-Server-Template** - Template with monitoring components ### 🔴 **Basic/Incomplete Monitoring** - **Advanced-Memory-MCP** - Health checks only - **Basic-Memory** - Health checks only - **Nest-Protect-MCP** - Enhanced logging mentioned - **VirtualDJ-MCP** - Performance monitoring mentioned - **VRChat-MCP** - Performance monitoring planned ### 🏠 **Special Monitoring Case** - **Tapo-Cameras-MCP** - **SPECIAL CASE**: Comprehensive home surveillance and security monitoring with extensive Grafana dashboards for cameras, alarms, energy monitoring, and AI analytics ## 🏗️ Monitoring Stack Overview The Tailscale MCP monitoring stack provides comprehensive observability through: ### Core Components 1. **📊 Grafana** - Visualization and dashboard platform 2. **📈 Prometheus** - Metrics collection and storage 3. **📝 Loki** - Log aggregation and analysis 4. **🚀 Promtail** - Log shipping and collection 5. **🔧 Tailscale MCP Server** - Application with integrated monitoring ### Key Features - **Real-time monitoring** of Tailscale network devices - **Structured logging** with JSON format for easy parsing - **Performance metrics** for API requests and network traffic - **Device activity tracking** with geolocation and timeline views - **Error tracking and analysis** with detailed error logs - **Security monitoring** for authentication and access events - **Custom dashboards** for different monitoring needs ## 🚀 Quick Start ### Prerequisites - Docker and Docker Compose - Tailscale API key and tailnet name - Ports 3000, 9090, 3100, 8080, 9091 available ### Installation 1. **Clone and setup:** ```powershell git clone <repository> cd tailscale-mcp Copy-Item env.example .env ``` 2. **Configure environment:** Edit `.env` file with your Tailscale credentials: ``` TAILSCALE_API_KEY=your_api_key_here TAILSCALE_TAILNET=your_tailnet_name_here ``` 3. **Start monitoring stack:** ```powershell .\scripts\start-monitoring.ps1 ``` 4. **Access services:** - **Grafana**: http://localhost:3000 (admin/admin) - **Prometheus**: http://localhost:9090 - **Loki**: http://localhost:3100 - **MCP Server**: http://localhost:8080 ## 📊 Available Dashboards ### 1. Tailscale Network Overview - Device status monitoring - Network traffic visualization - API performance metrics - Error rate monitoring ### 2. Tailscale Logs Dashboard - Log level distribution - Error analysis - Real-time log streams - Log volume tracking ### 3. Device Activity Dashboard - Device status overview - Activity heatmaps - Geolocation mapping - Activity timelines ### 4. Comprehensive Monitoring - System health overview - Combined metrics and logs - Real-time monitoring - Performance tracking ## 🔍 Monitoring Capabilities ### Metrics Collection - **Device metrics**: Total, online, offline devices - **Network metrics**: Traffic, connectivity, performance - **API metrics**: Request rates, response times, error rates - **Application metrics**: Memory, CPU, disk usage ### Log Analysis - **Structured logging** with JSON format - **Log parsing** with Promtail pipelines - **Log queries** with LogQL - **Log aggregation** by device, operation, and error type ### Alerting - **Health checks** for all services - **Error rate monitoring** with thresholds - **Performance degradation** detection - **Device connectivity** monitoring ## 🛠️ Configuration ### Environment Variables - `TAILSCALE_API_KEY` - Tailscale API key - `TAILSCALE_TAILNET` - Tailnet name - `LOG_LEVEL` - Logging level (DEBUG, INFO, WARNING, ERROR) - `PROMETHEUS_PORT` - Prometheus metrics port (default: 9091) ### Docker Configuration - **Docker Compose** orchestration - **Volume mounts** for persistent data - **Network configuration** for service communication - **Health checks** for service monitoring ## 📈 Performance Considerations ### Resource Requirements - **Memory**: 2GB minimum for full stack - **CPU**: 1 core minimum - **Storage**: 10GB for logs and metrics - **Network**: Low latency for real-time monitoring ### Scaling - **Horizontal scaling** with multiple Prometheus instances - **Log retention** configuration in Loki - **Metrics retention** configuration in Prometheus - **Dashboard optimization** for large datasets ## 🔒 Security ### Access Control - **Grafana authentication** with admin user - **API key protection** in environment variables - **Network isolation** with Docker networks - **Log sanitization** for sensitive data ### Best Practices - **Regular updates** of Docker images - **Secure configuration** of all services - **Access logging** for audit trails - **Backup procedures** for monitoring data ## 📞 Support ### Documentation - **Comprehensive guides** for each component - **API reference** for metrics and logs - **Troubleshooting guide** for common issues - **Best practices** for deployment ### Community - **GitHub issues** for bug reports - **Documentation updates** for improvements - **Feature requests** for enhancements - **Community support** for questions ## 🔄 Updates and Maintenance ### Regular Tasks - **Monitor service health** and performance - **Review logs** for errors and issues - **Update dependencies** and Docker images - **Backup monitoring data** regularly ### Version Updates - **Follow changelog** for updates - **Test in staging** before production - **Update documentation** as needed - **Notify users** of breaking changes --- For detailed information about each component, see the individual documentation files in this directory.