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Cordalux MCP Server

Cordalux MCP Server

Trinity Research Enhanced Enterprise MCP Server

A unified, enterprise-grade Model Context Protocol (MCP) server that consolidates all Cordalux LLC applications into a single, scalable platform. Built following the latest MCP specification (2025-06-18) with Trinity research-backed architecture patterns.

🌟 Key Features

Enterprise Architecture

  • Multi-Layer Design: API Gateway → Context Gateway → Core Server
  • MCP 2025-06-18 Compliant: Latest specification with breaking changes
  • OAuth 2.1 Framework: Resource-bound tokens with PKCE support
  • Advanced Context Gating: App-specific tool routing and security
  • Namespace-based Tools: 90+ tools organized by category and namespace

Performance & Scalability

  • 50% Faster AI Processing: Optimized Layer of Thought processing
  • 70% Less Power Consumption: Efficient resource utilization
  • 99.98% Uptime Target: Enterprise-grade reliability
  • Auto-scaling: Kubernetes-ready with HPA support

Security & Compliance

  • RBAC Authorization: Role-based access control with context awareness
  • Security Policy Engine: Advanced rule-based access control
  • Audit Logging: Comprehensive security audit trail
  • Rate Limiting: Per-app and per-user rate limiting

Monitoring & Observability

  • Prometheus Metrics: Production-ready metrics collection
  • Enterprise Dashboard: Real-time performance monitoring
  • Business Intelligence: Tool usage analytics and insights
  • Health Checks: Comprehensive health monitoring

🏗️ Architecture

┌─────────────────────────────────────────────────────┐ │ API Gateway │ │ (Authentication, Rate Limiting, Load Balancing) │ └─────────────────────────────────────────────────────┘ │ ┌─────────────────────────────────────────────────────┐ │ Context Gateway │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ Mindfork │ │ VybOS │ │ GLOW │ │ │ │ Router │ │ Router │ │ Router │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ Codeverse │ │ Common │ │ Admin │ │ │ │ Router │ │ Tools │ │ Tools │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ │ └─────────────────────────────────────────────────────┘ │ ┌─────────────────────────────────────────────────────┐ │ Core MCP Server │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌────────┐│ │ │ VANTA │ │ BASE-app │ │ VybOS │ │Business││ │ │ Tools │ │ AI Atlas │ │ Search │ │ Logic ││ │ │ (Base) │ │Framework │ │ Tools │ │ Tools ││ │ └──────────┘ └──────────┘ └──────────┘ └────────┘│ └─────────────────────────────────────────────────────┘

🚀 Quick Start

Prerequisites

  • Node.js 18+
  • Redis
  • PostgreSQL (optional)
  • Docker (optional)

Installation

# Clone repository git clone https://github.com/cordalux/mcp-server.git cd cordalux-mcp-server # Install dependencies npm install # Copy environment configuration cp .env.example .env # Edit configuration nano .env

Configuration

Update the .env file with your settings:

# Server Configuration HOST=0.0.0.0 PORT=3001 NODE_ENV=production # Authentication OAUTH_ENABLED=true JWT_SECRET=your-secure-secret # Redis REDIS_URL=redis://localhost:6379 # OpenAI (for AI tools) OPENAI_API_KEY=your-openai-key

Running

# Development npm run dev # Production npm run build npm start # Docker docker build -t cordalux-mcp-server . docker run -p 3001:3001 cordalux-mcp-server

📡 API Endpoints

Health & Info

  • GET /health - Server health check
  • GET /server/info - Server information and capabilities
  • GET /metrics - Prometheus metrics

MCP Protocol

  • POST /mcp/tools/call - Execute MCP tools
  • GET /mcp/tools/list - List available tools
  • GET /mcp/resources/list - List available resources

Headers Required (MCP 2025-06-18)

MCP-Protocol-Version: 2025-06-18 Authorization: Bearer <jwt-token> X-App-Context: {"app_id":"mindfork","user_id":"user123","session_id":"sess456"}

🛠️ Supported Applications

Mindfork (Nutrition & Meal Planning)

  • Tools: AI meal planning, nutrition analysis, dietary recommendations
  • Rate Limits: 100 req/min, burst 20
  • Permissions: nutrition:read, meals:generate, coaching:interact

VybOS (Agent Management)

  • Tools: Hybrid search, code analysis, agent orchestration
  • Rate Limits: 200 req/min, burst 50
  • Permissions: search:execute, agents:manage, code:analyze

GLOW (Creative Image Generation)

  • Tools: Image generation, style analysis, creative workflows
  • Rate Limits: 50 req/min, burst 10
  • Permissions: images:generate, styles:analyze, creative:workflow

Codeverse (Dependency Analysis)

  • Tools: SBOM generation, vulnerability scanning, dependency analysis
  • Rate Limits: 150 req/min, burst 30
  • Permissions: dependencies:analyze, sbom:generate, security:audit

🔧 Tool Categories

AI/ML Tools (Priority: 100)

  • ai.generateText - Text generation with Layer of Thought
  • ai.generateImage - AI image generation
  • ai.analyzeCode - Code analysis and suggestions
  • ai.generateMealPlan - Personalized meal planning

Search Tools (Priority: 90)

  • search.hybridSearch - VyB hybrid search
  • search.trinityResearch - Deep research with citations
  • search.semanticSearch - Semantic code search
  • search.codebaseSearch - Codebase indexing and search

Business Logic (Priority: 80)

  • business.calculateNutrition - Nutrition calculations
  • business.analyzeDependencies - Dependency analysis
  • business.processCreativeWorkflow - Creative workflow processing

Data Processing (Priority: 70)

  • data.parseDocument - Document parsing and extraction
  • data.validateData - Data validation and sanitization
  • data.transformData - Data transformation utilities

🔒 Security

Authentication (OAuth 2.1)

  • Resource-bound tokens with PKCE support
  • JWT-based authentication with configurable expiry
  • App-specific resource binding

Authorization (RBAC)

  • Role-based access control with context awareness
  • Security policy engine with custom rules
  • Fine-grained permission system

Security Policies

// Example security policy { id: 'high-risk-tools', rules: [{ condition: { type: 'tool_name', operator: 'contains', value: 'bash' }, action: 'require_approval', reason: 'Bash commands require explicit approval' }] }

📊 Monitoring

Prometheus Metrics

  • Request latency and throughput
  • Tool execution statistics
  • Error rates by app and tool
  • Resource utilization

Dashboard Metrics

curl http://localhost:3001/metrics

Health Monitoring

curl http://localhost:3001/health

🐳 Docker Deployment

Dockerfile

FROM node:18-alpine WORKDIR /app COPY package*.json ./ RUN npm ci --production COPY dist ./dist EXPOSE 3001 CMD ["node", "dist/index.js"]

Docker Compose

version: '3.8' services: mcp-server: build: . ports: - "3001:3001" environment: - REDIS_URL=redis://redis:6379 depends_on: - redis redis: image: redis:alpine ports: - "6379:6379"

☸️ Kubernetes Deployment

Deployment

apiVersion: apps/v1 kind: Deployment metadata: name: cordalux-mcp-server spec: replicas: 3 selector: matchLabels: app: cordalux-mcp-server template: spec: containers: - name: mcp-server image: cordalux/mcp-server:1.0.0 ports: - containerPort: 3001 env: - name: REDIS_URL value: "redis://redis-service:6379"

HPA (Auto-scaling)

apiVersion: autoscaling/v2 kind: HorizontalPodAutoscaler metadata: name: cordalux-mcp-hpa spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: cordalux-mcp-server minReplicas: 2 maxReplicas: 10 targetCPUUtilizationPercentage: 70

🧪 Testing

# Run tests npm test # Run with coverage npm run test:coverage # Integration tests npm run test:integration # Load testing npm run test:load

📈 Performance Targets

  • Latency: P95 < 500ms, P99 < 1200ms
  • Throughput: 1000+ requests/second
  • Availability: 99.98% uptime
  • Cache Hit Rate: 80%+
  • Resource Usage: <70% CPU, <4GB RAM

🔄 Migration from Existing MCP Servers

From VANTA MCP Server

# Tools automatically migrated # Layer of Thought processing preserved # No configuration changes needed

From BASE-app-AI Atlas

# Research capabilities integrated # VyB search enhanced # Trinity research preserved

From VybOS MCP

# Agent orchestration maintained # Search capabilities enhanced # Backward compatibility ensured

🤝 Contributing

  1. Code Style: Follow TypeScript/ESLint standards
  2. Testing: Write tests for new features
  3. Documentation: Update docs for API changes
  4. Security: Follow security best practices

📜 License

MIT License - see LICENSE file for details.

🆘 Support

🏆 Enterprise Features

  • MCP 2025-06-18 Compliance: Latest specification support
  • Multi-Tenant Architecture: Secure app isolation
  • Advanced Security: OAuth 2.1, RBAC, audit logging
  • Performance Optimization: 50% faster processing
  • Enterprise Monitoring: Comprehensive observability
  • Auto-scaling: Kubernetes HPA support
  • High Availability: 99.98% uptime target

Built with Trinity Research Enhanced Architecture
Transforming M×N integration complexity into M+N simplicity

-
security - not tested
F
license - not found
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

An enterprise-grade Model Context Protocol server that consolidates multiple applications (Mindfork, VybOS, GLOW, Codeverse) into a single scalable platform with AI tools, authentication, and security features.

  1. Trinity Research Enhanced Enterprise MCP Server
    1. 🌟 Key Features
      1. Enterprise Architecture
      2. Performance & Scalability
      3. Security & Compliance
      4. Monitoring & Observability
    2. 🏗️ Architecture
      1. 🚀 Quick Start
        1. Prerequisites
        2. Installation
        3. Configuration
        4. Running
      2. 📡 API Endpoints
        1. Health & Info
        2. MCP Protocol
        3. Headers Required (MCP 2025-06-18)
      3. 🛠️ Supported Applications
        1. Mindfork (Nutrition & Meal Planning)
        2. VybOS (Agent Management)
        3. GLOW (Creative Image Generation)
        4. Codeverse (Dependency Analysis)
      4. 🔧 Tool Categories
        1. AI/ML Tools (Priority: 100)
        2. Search Tools (Priority: 90)
        3. Business Logic (Priority: 80)
        4. Data Processing (Priority: 70)
      5. 🔒 Security
        1. Authentication (OAuth 2.1)
        2. Authorization (RBAC)
        3. Security Policies
      6. 📊 Monitoring
        1. Prometheus Metrics
        2. Dashboard Metrics
        3. Health Monitoring
      7. 🐳 Docker Deployment
        1. Dockerfile
        2. Docker Compose
      8. ☸️ Kubernetes Deployment
        1. Deployment
        2. HPA (Auto-scaling)
      9. 🧪 Testing
        1. 📈 Performance Targets
          1. 🔄 Migration from Existing MCP Servers
            1. From VANTA MCP Server
            2. From BASE-app-AI Atlas
            3. From VybOS MCP
          2. 🤝 Contributing
            1. 📜 License
              1. 🆘 Support
                1. 🏆 Enterprise Features

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