yoda-mcp

# Planner MCP System Architecture Overview ## Executive Summary The Planner MCP (Model Context Protocol) system is an enterprise-grade planning platform that orchestrates multiple specialized MCP servers to deliver world-class implementation plans. The system combines advanced orchestration, quality validation, security, and scalability to provide comprehensive planning solutions. ## System Goals ### Primary Objectives - **World-Class Quality**: Deliver plans that meet exceptional quality standards (85+ quality score) - **High Availability**: Maintain 99.9% uptime with graceful degradation - **Enterprise Scale**: Support 1000+ concurrent users with sub-2s response times - **Security First**: Implement comprehensive security with SOC2/GDPR compliance - **Operational Excellence**: Provide comprehensive monitoring and automation ### Success Metrics - **Quality Score**: Average 90+ across all delivered plans - **User Satisfaction**: Net Promoter Score (NPS) > 70 - **System Performance**: P95 response time < 2 seconds - **Security Posture**: Zero critical security incidents - **Operational Efficiency**: 95% automated incident resolution ## High-Level Architecture ``` ┌─────────────────────────────────────────────────────────────────┐ │ Client Layer │ ├─────────────────────────────────────────────────────────────────┤ │ API Gateway & Load Balancer │ ├─────────────────────────────────────────────────────────────────┤ │ Security Layer │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐│ │ │ Auth │ │ AuthZ │ │ Rate Limit │ │ Audit ││ │ │ (OAuth2/JWT)│ │ (RBAC) │ │ (DDoS) │ │ Logging ││ │ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘│ ├─────────────────────────────────────────────────────────────────┤ │ Orchestration Layer │ │ ┌─────────────────────────────────────────────────────────────┐│ │ │ Planner Orchestrator ││ │ │ ┌─────────────────┐ ┌─────────────────┐ ││ │ │ │ MCP Server │ │ Validation │ ││ │ │ │ Manager │ │ Gateway │ ││ │ │ └─────────────────┘ └─────────────────┘ ││ │ └─────────────────────────────────────────────────────────────┘│ ├─────────────────────────────────────────────────────────────────┤ │ MCP Server Layer │ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────────┐ │ │ │ Serena │ │Sequential│ │Context7 │ │ TodoList │ │ │ │ MCP │ │ MCP │ │ MCP │ │ MCP │ │ │ └─────────┘ └─────────┘ └─────────┘ └─────────────┘ │ ├─────────────────────────────────────────────────────────────────┤ │ Infrastructure Layer │ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────────┐ │ │ │Database │ │ Cache │ │Message │ │ Monitoring │ │ │ │(Postgres)│ │(Redis) │ │Queue │ │(Prometheus) │ │ │ └─────────┘ └─────────┘ └─────────┘ └─────────────┘ │ └─────────────────────────────────────────────────────────────────┘ ``` ## Core Components ### 1. Orchestration Engine The heart of the system that coordinates all planning activities. **Key Responsibilities:** - MCP server coordination and health management - Request routing and response aggregation - Hybrid fallback strategy implementation (5-tier capability system) - Performance optimization through caching and connection pooling **Technology Stack:** - **Runtime**: Node.js with TypeScript - **Framework**: Express.js with custom orchestration logic - **Communication**: HTTP/WebSocket for MCP server communication - **State Management**: Redis for session state and coordination ### 2. Validation Framework Ensures all plans meet world-class quality standards before delivery. **Validation Dimensions:** - **Completeness**: Requirement coverage assessment (20% weight) - **Technical Accuracy**: Implementation feasibility validation (18% weight) - **Best Practices**: Industry standard compliance (15% weight) - **Implementation Detail**: Actionable specificity (12% weight) - **Security**: Security best practices (10% weight) - **Other Factors**: Scalability, performance, maintainability (25% weight) **Quality Tiers:** - **WORLD_CLASS (81-100)**: Exceptional, comprehensive, innovative - **ENTERPRISE (61-80)**: Excellent, scalable, well-architected - **PROFESSIONAL (41-60)**: High quality, complete, tested - **STANDARD (21-40)**: Good quality, basic requirements - **BASIC (0-20)**: Minimal quality, needs improvement ### 3. Security Framework Comprehensive security implementation with defense-in-depth strategy. **Security Components:** - **Authentication**: OAuth2 + OpenID Connect with JWT tokens - **Multi-Factor Authentication**: TOTP, WebAuthn, SMS backup - **Authorization**: 4-tier RBAC (super_admin, admin, planner, viewer) - **Encryption**: AES-256-GCM for data at rest, TLS 1.3 for transit - **Audit Logging**: Comprehensive event tracking with 2-7 year retention **Compliance:** - **SOC2 Type II**: Quarterly access reviews, security controls - **GDPR**: Automated data subject request processing - **Field-Level Encryption**: Automatic PII detection and protection ### 4. MCP Server Integration Specialized servers providing distinct planning capabilities. #### Serena MCP - **Purpose**: Project memory and context management - **Capabilities**: Historical project data, context preservation, stakeholder management - **Integration**: RESTful API with connection pooling #### Sequential MCP - **Purpose**: Step-by-step reasoning and logical analysis - **Capabilities**: Requirement decomposition, dependency analysis, logical flow planning - **Integration**: Streaming responses for complex analysis #### Context7 MCP - **Purpose**: Best practices and pattern recommendations - **Capabilities**: Industry standards, architectural patterns, technology recommendations - **Integration**: Knowledge base queries with caching optimization #### TodoList MCP - **Purpose**: Task management and execution planning - **Capabilities**: Task breakdown, timeline estimation, resource allocation - **Integration**: Real-time task tracking with progress monitoring ### 5. Infrastructure Layer Enterprise-grade infrastructure supporting scalability and reliability. **Core Infrastructure:** - **Container Orchestration**: Kubernetes with auto-scaling - **Database**: PostgreSQL with read replicas and automated backups - **Caching**: Redis Cluster for distributed caching and session management - **Message Queue**: Redis Pub/Sub for event-driven communication - **Load Balancing**: NGINX with multiple balancing algorithms **Monitoring Stack:** - **Metrics Collection**: Prometheus with custom business metrics - **Visualization**: Grafana dashboards (Executive, Operations, Engineering) - **Logging**: ELK Stack (Elasticsearch, Logstash, Kibana) - **Alerting**: PagerDuty integration with intelligent escalation - **Tracing**: Distributed tracing for request flow analysis ## Data Flow Architecture ### Planning Request Flow ``` 1. Client Request → API Gateway → Authentication → Authorization 2. Orchestrator → Capability Assessment → MCP Server Selection 3. Parallel MCP Queries → Response Aggregation → Plan Assembly 4. Validation Gateway → Quality Assessment → Enhancement (if needed) 5. Final Plan → Audit Logging → Response to Client ``` ### Hybrid Fallback Flow ``` Premium (4 MCPs) → Enhanced (3 MCPs) → Standard (2 MCPs) → Basic (1 MCP) → Emergency (0 MCPs) ↓ ↓ ↓ ↓ ↓ Full Capability Graceful Reduced Minimal Static Responses (100%) Degradation Functionality Service (20%) (80%) (60%) (40%) ``` ## Scalability Architecture ### Horizontal Scaling Strategy - **Auto-Scaling**: CPU, memory, and queue depth-based triggers - **Predictive Scaling**: ML-based capacity planning - **Load Distribution**: Multiple load balancing algorithms - **Circuit Breakers**: Failure isolation and automatic recovery ### Performance Optimization - **Multi-Tier Caching**: Memory → Redis → Application → CDN - **Connection Pooling**: Persistent connections to MCP servers - **Request Batching**: Combining multiple requests when possible - **Intelligent Routing**: Route requests to optimal MCP server instances ### Resource Management - **Concurrency Control**: Fair-share queuing with user limits - **Rate Limiting**: Multi-tier rate limiting with DDoS protection - **Resource Allocation**: Dynamic resource allocation based on demand - **Queue Management**: Priority-based request queuing ## Security Architecture ### Security Layers 1. **Network Security**: Firewalls, VPC, network segmentation 2. **Application Security**: Input validation, output encoding, secure coding 3. **Data Security**: Encryption at rest and in transit, field-level encryption 4. **Identity Security**: Strong authentication, authorization, session management 5. **Infrastructure Security**: Container security, OS hardening, patch management ### Threat Detection - **ML-Based Anomaly Detection**: Behavioral analysis and threat identification - **Real-Time Monitoring**: Security event correlation and alerting - **Incident Response**: Automated containment and recovery procedures - **Penetration Testing**: Regular security assessments and vulnerability scanning ## Deployment Architecture ### Blue-Green Deployment - **Zero-Downtime Updates**: Seamless version transitions - **Automatic Rollback**: Health check-based rollback triggers - **Database Migrations**: Safe, reversible schema changes - **Configuration Management**: Encrypted configuration with version control ### Canary Releases - **Progressive Rollout**: 5% → 25% → 50% → 100% traffic distribution - **Quality Gates**: Automated quality and performance validation - **Real-Time Monitoring**: Continuous health monitoring during rollout - **Instant Rollback**: Immediate rollback on quality degradation ## Monitoring and Observability ### Business Metrics - **Planning Success Rate**: Percentage of successful plan generations - **Quality Score Distribution**: Quality tier distribution across plans - **User Satisfaction**: NPS scores and user feedback metrics - **Revenue Impact**: Business value generated through planning ### System Metrics - **Performance**: P50/P95/P99 response times, throughput - **Reliability**: Uptime, error rates, availability metrics - **Resource Usage**: CPU, memory, disk, network utilization - **Security**: Authentication events, threat detection, incident metrics ### Dashboards - **Executive Dashboard**: Business KPIs, financial metrics, strategic insights - **Operations Dashboard**: System health, incidents, capacity utilization - **Engineering Dashboard**: Performance metrics, code quality, technical debt ## Disaster Recovery ### Backup Strategy - **Database Backups**: Automated daily backups with point-in-time recovery - **Configuration Backups**: Version-controlled configuration with encryption - **Code Backups**: Git-based source code management with redundancy - **Data Validation**: Regular backup integrity verification ### Recovery Procedures - **RTO (Recovery Time Objective)**: < 15 minutes for critical systems - **RPO (Recovery Point Objective)**: < 5 minutes data loss maximum - **Automated Failover**: Health check-based automatic failover - **Geographic Distribution**: Multi-region deployment for disaster resilience ## Compliance and Governance ### Data Governance - **Data Classification**: PII identification and classification - **Retention Policies**: Automated data lifecycle management - **Access Controls**: Principle of least privilege access - **Data Subject Rights**: GDPR-compliant data access and deletion ### Operational Governance - **Change Management**: Formal change approval process - **Incident Management**: Structured incident response procedures - **Capacity Planning**: Regular capacity assessment and planning - **Performance Reviews**: Quarterly architecture and performance reviews ## Future Roadmap ### Near-term Enhancements (3-6 months) - **Advanced ML Integration**: Enhanced quality prediction models - **Multi-Region Deployment**: Global deployment for reduced latency - **API Versioning**: Comprehensive API version management - **Enhanced Analytics**: Advanced user behavior and system analytics ### Medium-term Enhancements (6-12 months) - **Voice Interface**: Voice-based planning request interface - **Mobile Applications**: Native mobile app development - **Third-Party Integrations**: Jira, Slack, Microsoft Teams integration - **Advanced Personalization**: AI-powered user preference learning ### Long-term Vision (1-2 years) - **Autonomous Planning**: Fully automated planning with minimal human input - **Industry Specialization**: Domain-specific planning optimization - **Global Scale**: Support for 10,000+ concurrent users - **AI Innovation**: Cutting-edge AI research integration --- **Document Owner**: Architecture Team **Last Updated**: {current_date} **Version**: 1.0 **Review Cycle**: Quarterly