OPNSense MCP Server

# The Future: GenAI-Powered Infrastructure ## Vision: Natural Language to Production Infrastructure Imagine asking Claude: > "I need to deploy our new customer portal. It should be highly available, support 10k concurrent users, have automatic backups, meet PCI compliance, and integrate with our existing Stripe setup. Use the cheapest options that meet these requirements." And Claude orchestrates: 1. **Network Design** (OPNSense MCP) - Creates isolated VLANs for web, app, and database tiers - Configures firewall rules for PCI compliance - Sets up HAProxy for load balancing with SSL termination - Implements DDoS protection rules 2. **Cloud Infrastructure** (AWS/Azure/GCP MCPs) - Provisions auto-scaling groups across availability zones - Creates RDS instances with automated backups - Sets up S3 buckets for static assets - Configures CloudFront CDN 3. **Container Orchestration** (Docker/Kubernetes MCPs) - Builds optimized container images - Deploys to Kubernetes with proper resource limits - Sets up horizontal pod autoscaling - Configures health checks and rolling updates 4. **Security & Compliance** (Security MCP) - Scans for vulnerabilities - Ensures PCI compliance - Sets up intrusion detection - Configures log aggregation 5. **Monitoring & Observability** (Monitoring MCP) - Deploys Prometheus and Grafana - Sets up alerts for SLO violations - Configures distributed tracing - Creates custom dashboards ## The Magic: How It Works ### 1. Intent Understanding ```python # Claude parses natural language into structured requirements requirements = { "application": "customer-portal", "availability": "high", "users": 10000, "compliance": ["PCI"], "integrations": ["stripe"], "optimization": "cost" } ``` ### 2. Pattern Matching ```python # Matches requirements to deployment patterns pattern = PatternMatcher.find_best_match(requirements) # Returns: "pci-compliant-web-app-pattern" ``` ### 3. Resource Planning ```python # Generates resource graph across all MCP servers resources = pattern.generate_resources(requirements) # Creates 47 resources across 5 MCP servers ``` ### 4. Cost Optimization ```python # AI optimizes for cost while meeting requirements optimized = CostOptimizer.optimize(resources, constraints) # Saves 40% by using spot instances for non-critical workloads ``` ### 5. Deployment Execution ```python # Orchestrates deployment across all systems result = await orchestrator.deploy(optimized) # Deploys in 12 minutes with zero downtime ``` ## Real-World Scenarios ### Scenario 1: Emergency Response **Human**: "We're getting DDoSed! Block all traffic from Russia and China, except for our partners at 1.2.3.4" **Claude**: 1. Immediately creates geo-blocking rules in OPNSense 2. Adds exception for partner IP 3. Enables rate limiting 4. Scales up infrastructure 5. Notifies security team ### Scenario 2: Development Environment **Human**: "Spin up a copy of production for the new developer starting Monday, but with fake data" **Claude**: 1. Clones production infrastructure topology 2. Creates isolated network segment 3. Deploys services with test data 4. Sets up developer access 5. Implements auto-shutdown at 6 PM to save costs ### Scenario 3: Compliance Audit **Human**: "Generate a report showing all firewall changes in the last 90 days for the SOC2 audit" **Claude**: 1. Queries audit logs across all MCP servers 2. Correlates changes with tickets 3. Identifies who made each change and why 4. Generates compliance report 5. Highlights any violations ## The Technical Foundation ### 1. Standardized Resource Model Every MCP server exposes resources in a standard format: ```typescript interface UniversalResource { // Identity id: string; type: string; // e.g., "compute:instance" provider: string; // e.g., "aws" // Configuration spec: ResourceSpec; // Runtime status: ResourceStatus; outputs: Map<string, any>; // Relationships dependencies: string[]; dependents: string[]; } ``` ### 2. Universal Query Language Query any resource across any MCP: ```sql SELECT * FROM resources WHERE type = 'firewall:rule' AND spec.action = 'allow' AND spec.port = 22 AND created_at > '2024-01-01' ORDER BY risk_score DESC ``` ### 3. Policy as Code ```yaml policies: - name: no-public-ssh description: "SSH should never be exposed to internet" query: | SELECT * FROM resources WHERE type = 'firewall:rule' AND spec.port = 22 AND spec.source = '0.0.0.0/0' action: deny - name: require-encryption description: "All data must be encrypted" applies_to: ["storage:*", "database:*"] require: - spec.encryption.enabled = true ``` ### 4. Self-Healing Infrastructure ```typescript // AI continuously monitors and fixes issues class SelfHealingOrchestrator { async monitor() { while (true) { const issues = await this.detectIssues(); for (const issue of issues) { const solution = await this.ai.generateSolution(issue); const approved = await this.getApproval(solution); if (approved) { await this.applySolution(solution); } } await sleep(60000); // Check every minute } } } ``` ## Implementation Phases ### Phase 1: Foundation (Months 1-2) - ✅ OPNSense MCP (mostly done!) - 🔄 Standardize resource model - 📋 State management system - 🔧 Basic orchestration ### Phase 2: Expansion (Months 3-4) - 🌩️ AWS MCP Server - 🐳 Docker MCP Server - ☸️ Kubernetes MCP Server - 🔗 Cross-MCP references ### Phase 3: Intelligence (Months 5-6) - 🧠 Pattern recognition - 💰 Cost optimization - 📊 Performance optimization - 🔍 Anomaly detection ### Phase 4: Production (Months 7-8) - 🔐 Security hardening - 📈 Scalability testing - 🚨 Monitoring & alerting - 📚 Documentation ### Phase 5: Advanced Features (Months 9-12) - 🎯 Predictive scaling - 🔄 Chaos engineering - 🌍 Multi-region support - 🤖 Full automation ## Getting Started Today 1. **Implement DHCP visibility** (1 hour) - Follow the guide in `00-DHCP-QUICK-FIX.md` - Gives immediate value 2. **Add resource outputs** (2 hours) - Modify existing resources to expose outputs - Enables cross-resource references 3. **Create first pattern** (4 hours) - Start with a simple "dev environment" pattern - Test the deployment flow 4. **Build state tracking** (1 day) - Add PostgreSQL for state storage - Track what's deployed where 5. **Connect second MCP** (1 week) - Create a simple Docker MCP - Test cross-MCP deployment ## The Endgame In 12 months, you'll have: - **🗣️ Natural Language Infrastructure**: "Deploy our app with enterprise security" - **🔄 Self-Healing Systems**: AI fixes issues before you notice - **💰 Cost Optimization**: AI continuously reduces cloud spend - **🔐 Automatic Compliance**: Policies enforced across all systems - **📈 Predictive Scaling**: AI predicts and prevents bottlenecks - **🚀 10x Faster Deployments**: What took days now takes minutes This isn't just automation - it's infrastructure that understands intent, learns from patterns, and evolves with your needs. The future of infrastructure isn't just as code - it's as conversation. 🎯 ## Next Concrete Step Run this command right now: ```bash cd C:\Users\VinSpo\Desktop\OPNSenseMCP code implementation-plan\00-DHCP-QUICK-FIX.md ``` Follow the guide to add DHCP visibility in the next hour. Then you can ask Claude: - "Show me all devices on the network" - "When did Kyle's devices last connect?" - "Find all gaming consoles" Small wins lead to big transformations! 🚀