VaultMesh Architect MCP Server

name: vaultmesh_mcp_digital_twin version: "1.0.0" description: | Formal architecture specification for the VaultMesh MCP digital twin, serving as a "constitution" for synchronized, proof-anchored control loops in critical infrastructure. This unifies AI-driven commands, cryptographic state alignment, and self-evolving simulations across physical and digital realms. architectural_layers: - layer: "Physical Asset Layer" components: - sensors: "AI chat interfaces (Claude, ChatGPT), MCP clients for telemetry" - actuators: "Command issuance via MCP tools, human-in-loop overrides" - connectivity: "WebSockets/MQTT/TLS for real-time streams" considerations: - "Sensor fusion for AI + human inputs" - "Latency targets <100ms for control feedback" - "Zero-trust with client certs and ACLs" - layer: "Data Ingestion & Integration Layer" components: - streaming: "MQTT publishers for telemetry, WebSocket for MCP commands" - batch: "CRDT patches, Merkle receipt logs" - integration: "Node.js MCP server as gateway, schema mappers" considerations: - "QoS=1 for reliable ingest, backpressure on treasury thresholds" - "JSON/DTDL schema validation for twin paths" - "GDPR/PCI-compliant minimization and encryption" - layer: "Digital Twin Core" components: - state_management: "Rust crates (vm-core, vm-crdt) for distributed state" - simulation_engine: "PSI swarm (MAPPO/QMIX) for what-if simulations" - synchronization: "Bidirectional CRDT + Merkle proofs for alignment" considerations: - "Immutable versioning with LAWCHAIN entries" - "Back-testing on synthetic data (e.g., fraud/grid events)" - "K8s orchestration for twin scalability" - layer: "Analytics & Intelligence Layer" components: - predictive_analytics: "LSTM/Transformer for anomaly detection on Ψ-field, latency" - optimization: "Tem invocation for evolution, reward shaping in squads" - visualization: "Grafana dashboards for receipts, coherence metrics" considerations: - "Explainable outputs with stop-conditions" - "Feedback loops for AI governance" - "Multi-objective (reliability, security, efficiency)" - layer: "Application & Service Layer" components: - apis: "MCP endpoints (spawn_subsystem, multi_anchor, evolve_phase)" - applications: "K8s organs for governance/treasury, external chain integrations" - integration: "RFC-3161 TSA + ETH/BTC anchors" considerations: - "Granular RBAC and capability issuance" - "Rate limits on anchoring operations" - "Federated profiles for fintech/energy twins" reference_architectures: fintech_swarm: description: "MCP digital twin for regulated fintech PSI swarms" components: - "Fraud telemetry simulation and ingestion" - "Merkle-anchored receipts for audits" - "Ψ-field feedback for swarm coherence" - "Capability issuance for secure ops" - "What-if back-testing for risk scenarios" standards: - "PCI-DSS for data zones" - "SOC 2 for provenance tracking" kpis: - "Alignment latency: <100ms" - "Coherence Ψ: >0.8" - "Proof issuance: 100% anchored" energy_grid: description: "MCP digital twin for grid telemetry and control" components: - "IEC 61850 mapping to twin schema" - "PGDT real-time streams via MQTT" - "Tem evolution for grid phases" - "LAWCHAIN for operational logs" - "Simulation sandboxes for load events" standards: - "IEC 61850 for comms" - "CIM for model interoperability" kpis: - "Telemetry sync: <500ms" - "Anomaly accuracy: >90%" - "Evolution cycles: Nigredo→Rubedo anchored" technical_stack: simulation_frameworks: - "RLlib/PyTorch for swarm and anomalies" - "Mermaid for flow visualization" - "web3.py for chain anchors" - "SimPy for what-if event modeling" data_platforms: - "Kafka/KRaft for CTDE and streams" - "Aurora for CRDT state" - "S3/GCS for receipt archives" - "Prometheus for twin metrics" orchestration: - "EKS/GKE for organ hosting" - "ArgoCD for GitOps instantiation" - "Terraform for layer IaC" - "Grafana for twin vis" security: - "mTLS/Istio for loop protection" - "OPA for policy enforcement" - "Vault for capability secrets" - "Zero-trust with egress deny" deployment_patterns: - pattern: "Centralized Twin" description: "Single MCP instance for all layers" use_case: "Dev sandboxes" pros: "Rapid iteration" cons: "Limited resilience" - pattern: "Federated Twin Network" description: "Multi-MCP with Raft/CRDT sync" use_case: "Prod cross-domain twins" pros: "Sovereign alignment" cons: "Sync overhead" - pattern: "Hybrid Twin" description: "Edge MCP for physical, cloud for analytics" use_case: "Real-time control loops" pros: "Low-latency mirroring" cons: "Edge provisioning" validation_and_verification: - "Co-simulation with physical mocks (e.g., PGDT sim)" - "Back-testing on historical/synthetic data" - "Ψ-field sensitivity for coherence" - "MCP pen-tests and chaos drills" - "Anchored versioning in model registry" regulatory_alignment: nis2: "Incident proofs, supply chain twins" critical_infrastructure_directive: "Resilience simulations" ai_act: "Governed Tem evolution" data_act: "Portable twin receipts" cost_model: development: - "Design: 10-15%" - "Integration: 30-40%" - "Dev: 30-40%" - "Test: 10-15%" operations: - "Compute: €5-50k/month" - "Storage: €1-10k/month" - "Maint: 15-20% annual" - "Improve: 10-15% annual" success_metrics: - "Sync accuracy: >95%" - "Loop latency: <100ms" - "Uptime: 99.99%" - "Adoption: >70%" - "ROI: 3-5 years"