Provides Docker deployment support for running the MCP server in containerized environments, with configuration examples and Docker Compose setup for production deployment.
Enables deployment and management of the MCP server in Kubernetes clusters with auto-scaling capabilities, including horizontal pod autoscaling and high-availability configuration.
Runs on Node.js runtime (version 18+) as the foundation for the MCP server implementation.
Integrates with OpenAI API for AI tools including text generation, image generation, and code analysis features.
Optional database integration for storing persistent data within the MCP server ecosystem.
Provides metrics collection and monitoring capabilities for tracking server performance, request latency, and tool execution statistics.
Integrates with Redis for caching, session management, and improving performance of the MCP server.
Uses TypeScript for defining security policies and contributing to the codebase following TypeScript standards.
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
🚀 Quick Start
Prerequisites
- Node.js 18+
- Redis
- PostgreSQL (optional)
- Docker (optional)
Installation
Configuration
Update the .env
file with your settings:
Running
📡 API Endpoints
Health & Info
GET /health
- Server health checkGET /server/info
- Server information and capabilitiesGET /metrics
- Prometheus metrics
MCP Protocol
POST /mcp/tools/call
- Execute MCP toolsGET /mcp/tools/list
- List available toolsGET /mcp/resources/list
- List available resources
Headers Required (MCP 2025-06-18)
🛠️ 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 Thoughtai.generateImage
- AI image generationai.analyzeCode
- Code analysis and suggestionsai.generateMealPlan
- Personalized meal planning
Search Tools (Priority: 90)
search.hybridSearch
- VyB hybrid searchsearch.trinityResearch
- Deep research with citationssearch.semanticSearch
- Semantic code searchsearch.codebaseSearch
- Codebase indexing and search
Business Logic (Priority: 80)
business.calculateNutrition
- Nutrition calculationsbusiness.analyzeDependencies
- Dependency analysisbusiness.processCreativeWorkflow
- Creative workflow processing
Data Processing (Priority: 70)
data.parseDocument
- Document parsing and extractiondata.validateData
- Data validation and sanitizationdata.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
📊 Monitoring
Prometheus Metrics
- Request latency and throughput
- Tool execution statistics
- Error rates by app and tool
- Resource utilization
Dashboard Metrics
Health Monitoring
🐳 Docker Deployment
Dockerfile
Docker Compose
☸️ Kubernetes Deployment
Deployment
HPA (Auto-scaling)
🧪 Testing
📈 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
From BASE-app-AI Atlas
From VybOS MCP
🤝 Contributing
- Code Style: Follow TypeScript/ESLint standards
- Testing: Write tests for new features
- Documentation: Update docs for API changes
- Security: Follow security best practices
📜 License
MIT License - see LICENSE file for details.
🆘 Support
- Documentation: docs.cordalux.com/mcp
- Issues: GitHub Issues
- Enterprise Support: support@cordalux.com
🏆 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
This server cannot be installed
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.
- Trinity Research Enhanced Enterprise MCP Server
- 🌟 Key Features
- 🏗️ Architecture
- 🚀 Quick Start
- 📡 API Endpoints
- 🛠️ Supported Applications
- 🔧 Tool Categories
- 🔒 Security
- 📊 Monitoring
- 🐳 Docker Deployment
- ☸️ Kubernetes Deployment
- 🧪 Testing
- 📈 Performance Targets
- 🔄 Migration from Existing MCP Servers
- 🤝 Contributing
- 📜 License
- 🆘 Support
- 🏆 Enterprise Features
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