Multi Agent Orchestrator MCP

openapi: 3.0.3 info: title: Multi-Agent Orchestrator MCP Server - Cequence Deployment description: | Enterprise Multi-Agent Orchestrator MCP Server with Cequence AI Gateway Integration This deployment provides 16 total tools (11 standard + 5 advanced) with comprehensive Cequence AI Gateway integration for enterprise-grade observability, security monitoring, and performance analytics. 🔒 **SECURITY IMPLEMENTATION:** - Secure Descope Access Key authentication with proper scope validation - Bearer token authentication with granular permissions - Vulnerability-free middleware with authentication bypass protections - Enterprise-grade security audit compliance **ADVANCED AGENT TOOLS (5 TOOLS):** 1. Application Generator - Multi-agent orchestration for comprehensive application development 2. Autonomous Architect - Dynamic system architecture generation with DAG optimization 3. Proactive Quality Framework - Policy-driven quality assurance with predictive analysis 4. Evolutionary Prompt Engine - Self-optimizing prompts using genetic algorithms 5. Last Mile Cloud Agent - Multi-cloud deployment automation across AWS, Azure, GCP **STANDARD TOOLS (11 TOOLS):** 1. Ping - Enhanced connectivity testing with scope validation 2. Orchestrate Task - Multi-agent task coordination and execution 3. Generate Architecture - AI-powered system design and planning 4. Auto Fix Code - Autonomous code analysis and repair 5. List Capabilities - Comprehensive system capability inventory 6. Get System Status - Detailed system health monitoring 7. MCP Initialize - Model Context Protocol initialization 8. MCP List Tools - Tool discovery and enumeration 9. MCP Call Tool - Tool execution and management 10. MCP List Resources - Resource discovery and cataloging 11. MCP Read Resource - Resource access and retrieval **SECURITY & ANALYTICS FEATURES:** - Descope Access Key authentication with Bearer tokens for machine-to-machine integration - Cequence AI Gateway integration for real-time security monitoring and analytics - Granular scope enforcement for all tools and operations - Comprehensive audit logging for enterprise compliance requirements - Advanced threat detection and prevention capabilities **ENTERPRISE DEPLOYMENT:** This MCP server implementation provides enterprise-grade autonomous software development capabilities with advanced AI agents that support application generation, architecture optimization, quality assurance, and multi-cloud deployment. The Cequence AI Gateway integration enables comprehensive observability and security monitoring. version: 3.0.0-CEQUENCE-ENHANCED contact: name: Enterprise AI Systems - Cequence Integration url: https://github.com/yoriichi-07/Multi_Orchestrator_MCP email: support@enterprise-ai-systems.dev license: name: MIT License url: https://opensource.org/licenses/MIT servers: - url: https://api.cequence.ai/gateway/{gateway_id}/mcp description: Primary Production Endpoint.** All clients should connect here. variables: gateway_id: default: your_gateway_id description: Your Cequence Gateway ID - url: https://server.smithery.ai/@yoriichi-07/multi_orchestrator_mcp description: Origin Server.** The backend service that Cequence connects to. - url: http://localhost:8080 description: Local development server with Cequence integration security: - BearerAuth: [] paths: # === ADVANCED AGENT TOOLS - ENTERPRISE CAPABILITIES (5 TOOLS) === /tools/advanced/generate_application: post: summary: "Advanced Application Generator" operationId: "generate_application" description: | Comprehensive application generation using multi-agent orchestration with Cequence analytics integration. Features: - Orchestrates multiple AI agents for complete application development - Real-time analytics tracking via Cequence AI Gateway - Security monitoring and threat detection during generation - Performance optimization with automatic scaling recommendations - Complete audit trail for enterprise compliance requirements Cequence Analytics: - Generation performance metrics and optimization insights - Security analysis of generated applications - Cost optimization recommendations across cloud providers - Quality score trending and improvement tracking This tool provides enterprise-grade autonomous software engineering capabilities with comprehensive observability through Cequence AI Gateway integration. tags: [Advanced Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/AdvancedGenerateApplicationRequest' responses: '200': description: Application generated successfully with comprehensive analytics headers: X-Cequence-Analytics-ID: description: Cequence analytics tracking identifier schema: type: string X-Performance-Score: description: Overall performance score (0-10 scale) schema: type: number format: float content: application/json: schema: $ref: '#/components/schemas/AdvancedGenerateApplicationResponse' '401': $ref: '#/components/responses/Unauthorized' '403': $ref: '#/components/responses/Forbidden' '429': $ref: '#/components/responses/RateLimited' /tools/advanced/autonomous_architect: post: summary: "Autonomous Architect" operationId: "autonomous_architect" description: | Advanced autonomous architecture generation with comprehensive observability and analytics. Capabilities: - Dynamic DAG generation with performance analytics - Architecture evolution tracking via Cequence - Security compliance validation and monitoring - Cost optimization analysis across cloud providers - Pattern recognition and learning metrics Cequence Integration: - Real-time architecture complexity analysis - Performance prediction and optimization suggestions - Security vulnerability assessment and reporting - Compliance monitoring and automated reporting tags: [Advanced Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/AutonomousArchitectRequest' responses: '200': description: Architecture successfully generated with comprehensive analytics headers: X-Cequence-Analytics-ID: description: Cequence analytics tracking identifier schema: type: string X-Architecture-Complexity: description: Architecture complexity rating (1-10 scale) schema: type: number content: application/json: schema: $ref: '#/components/schemas/AutonomousArchitectResponse' '401': $ref: '#/components/responses/Unauthorized' '403': $ref: '#/components/responses/Forbidden' '429': $ref: '#/components/responses/RateLimited' /tools/advanced/proactive_quality_assurance: post: summary: "Proactive Quality Framework" operationId: "proactive_quality_assurance" description: | Advanced predictive quality assurance with comprehensive analytics and enterprise monitoring. Capabilities: - Predictive testing and defect prevention with analytics - Real-time quality metrics and trend analysis - Automated testing pipeline optimization via Cequence - Performance regression detection and alerting - Compliance tracking and automated reporting Analytics Integration: - Quality trend analysis and predictions - Testing effectiveness measurement - Defect pattern recognition and prevention - Performance impact assessment Advanced Features: - Policy-as-code enforcement with Cequence analytics - Predictive issue detection and prevention - Quality trend analysis and improvement tracking - Security vulnerability prediction and mitigation - Compliance monitoring and automated reporting Enterprise Integration: - Quality metrics dashboards via Cequence - Automated compliance reporting - Risk assessment and mitigation tracking - Performance impact analysis tags: [Advanced Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ProactiveQualityRequest' responses: '200': description: Comprehensive quality analysis with predictive insights content: application/json: schema: $ref: '#/components/schemas/ProactiveQualityResponse' /tools/advanced/evolutionary_prompt_optimization: post: summary: "Evolutionary Prompt Engine" operationId: "evolutionary_prompt_optimization" description: | Advanced prompt optimization with comprehensive performance analytics and intelligent adaptation. Evolutionary Features: - Genetic algorithm optimization with performance tracking - Real-time effectiveness monitoring via Cequence - Multi-objective optimization with analytics insights - Learning curve analysis and optimization recommendations - Cross-domain adaptation tracking Analytics Integration: - Prompt performance trending and analysis - Optimization effectiveness measurement - Learning velocity tracking - Success rate optimization insights tags: [Advanced Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/EvolutionaryPromptRequest' responses: '200': description: Optimized prompts with evolutionary analytics content: application/json: schema: $ref: '#/components/schemas/EvolutionaryPromptResponse' /tools/advanced/last_mile_cloud_deployment: post: summary: "Last Mile Cloud Agent" operationId: "last_mile_cloud_deployment" description: | Advanced autonomous multi-cloud orchestration with comprehensive observability and cost analytics. Multi-Cloud Intelligence: - Autonomous provider selection with cost analysis - Real-time deployment monitoring via Cequence - Performance optimization across cloud providers - Cost tracking and optimization recommendations - Security compliance validation and monitoring Enterprise Observability: - Multi-cloud cost analytics and optimization - Performance benchmarking across providers - Security posture monitoring and compliance - Automated rollback and recovery tracking tags: [Advanced Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/LastMileCloudRequest' responses: '200': description: Autonomous cloud deployment with comprehensive analytics content: application/json: schema: $ref: '#/components/schemas/LastMileCloudResponse' # === STANDARD TOOLS - ENHANCED WITH CEQUENCE ANALYTICS (11 TOOLS) === /tools/ping: post: summary: "Ping" operationId: "ping" description: | Enhanced ping with scope validation, performance metrics, and Cequence analytics Features comprehensive connectivity testing with: - Response time analysis and trending - Authentication scope validation - Agent status monitoring - Performance benchmarking and analytics tags: [Standard Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/PingRequest' responses: '200': description: Ping successful with enhanced analytics content: application/json: schema: $ref: '#/components/schemas/PingResponse' /tools/orchestrate_task: post: summary: "Orchestrate Task" operationId: "orchestrate_task" description: | Advanced multi-agent coordination with Cequence analytics integration Orchestrates complex tasks across multiple AI agents with: - Real-time coordination analytics - Performance optimization insights - Agent utilization tracking - Task completion predictive analysis tags: [Standard Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/OrchestateTaskRequest' responses: '200': description: Task orchestrated with comprehensive analytics content: application/json: schema: $ref: '#/components/schemas/OrchestateTaskResponse' /tools/generate_architecture: post: summary: "Generate Architecture" operationId: "generate_architecture" description: | Intelligent system architecture generation with performance analytics Creates comprehensive system architectures with: - Architecture complexity analysis - Performance prediction modeling - Cost estimation and optimization - Security compliance validation tags: [Standard Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/GenerateArchitectureRequest' responses: '200': description: Architecture generated with analytics insights content: application/json: schema: $ref: '#/components/schemas/GenerateArchitectureResponse' /tools/auto_fix_code: post: summary: "Auto Fix Code" operationId: "auto_fix_code" description: | Self-healing code capabilities with comprehensive fix analytics Automatically fixes code issues with: - Fix success rate tracking - Performance impact analysis - Learning pattern recognition - Quality improvement metrics tags: [Standard Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/AutoFixCodeRequest' responses: '200': description: Code fixed with analytics insights content: application/json: schema: $ref: '#/components/schemas/AutoFixCodeResponse' /tools/list_capabilities: post: summary: "List Capabilities" operationId: "list_capabilities" description: | Complete system capabilities with analytics and performance metrics Lists all system capabilities including: - Advanced agent status and performance - Standard tool availability and metrics - Performance benchmarks and analytics - Innovation scoring and trending tags: [Standard Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: type: object properties: include_advanced: type: boolean default: true include_analytics: type: boolean default: true responses: '200': description: Complete capability inventory with analytics content: application/json: schema: $ref: '#/components/schemas/CapabilitiesResponse' /tools/system_status: post: summary: "System Status" operationId: "system_status" description: | Detailed system status with enterprise-grade monitoring via Cequence Provides comprehensive system health including: - All agent status and performance metrics - Advanced capability monitoring - Resource utilization analytics - Performance trending and optimization insights tags: [Standard Tools] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/SystemStatusRequest' responses: '200': description: Comprehensive system status with analytics content: application/json: schema: $ref: '#/components/schemas/SystemStatusResponse' # === MCP PROTOCOL TOOLS (5 TOOLS) === /mcp/initialize: post: summary: "MCP Initialize" operationId: "mcp_initialize" description: | Enhanced MCP initialization with Cequence analytics capabilities Initializes MCP client-server connection with: - Advanced capability negotiation - Analytics integration setup - Performance monitoring initialization - Security context establishment tags: [MCP Protocol] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/MCPInitializeRequest' responses: '200': description: MCP initialized with enhanced capabilities content: application/json: schema: $ref: '#/components/schemas/MCPInitializeResponse' /mcp/tools/list: post: summary: "MCP List Tools" operationId: "mcp_list_tools" description: | Comprehensive tool listing with analytics and capability insights Lists all available MCP tools including: - All 16 tools (5 advanced + 11 standard) - Tool performance metrics and analytics - Capability scoring and optimization insights - Usage patterns and recommendations tags: [MCP Protocol] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/MCPListRequest' responses: '200': description: Complete tool list with analytics content: application/json: schema: $ref: '#/components/schemas/MCPToolsListResponse' /mcp/tools/call: post: summary: "MCP Call Tool" operationId: "mcp_call_tool" description: | Universal tool execution with comprehensive analytics tracking Executes any MCP tool with: - Real-time performance monitoring - Security validation and compliance - Analytics data collection and insights - Optimization recommendations tags: [MCP Protocol] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/MCPToolCallRequest' responses: '200': description: Tool executed with analytics insights content: application/json: schema: $ref: '#/components/schemas/MCPToolCallResponse' /mcp/resources/list: post: summary: "MCP List Resources" operationId: "mcp_list_resources" description: | Resource discovery with analytics and performance insights Discovers available MCP resources with: - Resource performance analytics - Access pattern optimization - Security compliance validation - Usage recommendations tags: [MCP Protocol] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: type: object properties: jsonrpc: type: string example: "2.0" id: type: string method: type: string example: "resources/list" responses: '200': description: Resource list with analytics content: application/json: schema: type: object properties: jsonrpc: type: string id: type: string result: type: object properties: resources: type: array items: type: object /mcp/resources/read: post: summary: "MCP Read Resource" operationId: "mcp_read_resource" description: | Resource access with analytics and performance optimization Reads MCP resources with: - Access performance monitoring - Content analytics and insights - Security validation and compliance - Optimization recommendations tags: [MCP Protocol] security: - BearerAuth: [] requestBody: required: true content: application/json: schema: type: object properties: jsonrpc: type: string example: "2.0" id: type: string method: type: string example: "resources/read" params: type: object properties: uri: type: string example: "mcp://capabilities" responses: '200': description: Resource content with analytics content: application/json: schema: type: object # === HEALTH AND ANALYTICS ENDPOINTS === /health: get: summary: "Health Check" operationId: "health_check" description: | Enhanced health check with comprehensive system analytics via Cequence Provides detailed health status including: - All 16 tools status and performance - Advanced agent health and metrics - System performance analytics - Cequence gateway connectivity tags: [Health & Monitoring] security: [] responses: '200': description: System healthy with comprehensive analytics content: application/json: schema: $ref: '#/components/schemas/HealthResponse' /dashboard/analytics: get: summary: "Analytics Dashboard" operationId: "analytics_dashboard" description: | Real-time analytics dashboard powered by Cequence AI Gateway Provides comprehensive analytics including: - Tool usage patterns and optimization insights - Performance metrics and trending analysis - Security monitoring and threat detection - Cost optimization and resource utilization tags: [Analytics & Monitoring] security: - BearerAuth: [] responses: '200': description: Analytics dashboard with comprehensive insights content: text/html: schema: type: string components: securitySchemes: BearerAuth: type: http scheme: bearer bearerFormat: JWT description: | Descope Access Key authentication with Bearer tokens for enterprise MCP server access. This authentication method uses Descope Access Keys (JWT tokens) that integrate seamlessly with Cequence AI Gateway in passthrough mode for comprehensive observability and security monitoring while maintaining granular scope-based authorization. **Supported Scopes (for demo and documentation purposes):** **Advanced Agent Tools Scopes:** - `tools:advanced` - Access to all 5 advanced AI agent tools - `tools:autonomous` - Autonomous architect capabilities - `tools:evolutionary` - Evolutionary prompt optimization - `tools:proactive` - Proactive quality assurance - `tools:cloud` - Last mile cloud deployment **Standard Tools Scopes:** - `tools:ping` - Basic connectivity testing - `tools:generate` - Generation and orchestration tools - `tools:healing` - Autonomous code healing - `tools:infrastructure` - Infrastructure management tools - `tools:quality` - Quality assurance tools **Administrative Scopes:** - `admin:metrics` - System monitoring and analytics - `admin:analytics` - Advanced analytics access - `admin:config` - Configuration management - `admin:full` - Full administrative access **Integration with Cequence AI Gateway:** - Real-time analytics and performance monitoring - Security threat detection and prevention - Cost optimization and resource management - Compliance monitoring and automated reporting **Note:** Scope lists are for documentation/demo purposes; they are not declared as OpenAPI OAuth scopes. responses: Unauthorized: description: Authentication required or invalid token content: application/json: schema: type: object properties: error: type: string example: "Authentication required" required_scopes: type: array items: type: string cequence_gateway_status: type: string example: "authentication_failed" Forbidden: description: Insufficient permissions for the requested operation content: application/json: schema: type: object properties: error: type: string example: "Insufficient permissions" required_scopes: type: array items: type: string current_scopes: type: array items: type: string RateLimited: description: Rate limit exceeded - enhanced monitoring via Cequence headers: X-RateLimit-Limit: description: Request limit per minute schema: type: integer X-RateLimit-Remaining: description: Remaining requests in current window schema: type: integer X-RateLimit-Reset: description: Time when rate limit resets schema: type: integer X-Cequence-Rate-Analytics: description: Cequence rate limiting analytics ID schema: type: string content: application/json: schema: type: object properties: error: type: string example: "Rate limit exceeded" retry_after_seconds: type: integer cequence_analytics: type: object properties: analytics_id: type: string usage_pattern: type: string optimization_recommendations: type: array items: type: string schemas: # === ENHANCED SCHEMAS WITH CEQUENCE ANALYTICS === AdvancedGenerateApplicationRequest: type: object required: - description properties: description: type: string description: Detailed description of the comprehensive application to create example: "Create a next-generation social media platform with AI-powered content curation and autonomous scaling" complexity_level: type: string enum: [simple, advanced, enterprise, revolutionary] default: revolutionary innovation_requirements: type: array items: type: string example: ["AI-powered UX", "autonomous scaling", "predictive analytics"] deployment_strategy: type: string enum: [local, cloud-native, multi-cloud, edge, revolutionary] default: revolutionary cequence_analytics: type: object properties: enable_detailed_tracking: type: boolean default: true performance_monitoring: type: boolean default: true cost_optimization: type: boolean default: true AdvancedGenerateApplicationResponse: type: object properties: success: type: boolean revolutionary_features: type: array items: type: string execution_analytics: type: object properties: cequence_analytics_id: type: string example: "analytics_advanced_001" performance_metrics: type: object properties: total_execution_time_ms: type: integer example: 45000 agent_coordination_efficiency: type: number format: float example: 0.94 resource_utilization: type: object properties: cpu_usage_percent: type: number format: float example: 67.5 memory_usage_mb: type: number format: float example: 1247.8 cost_analysis: type: object properties: estimated_generation_cost: type: number format: float example: 2.47 optimization_savings: type: number format: float example: 0.83 quality_metrics: type: object properties: innovation_score: type: number format: float example: 9.6 security_score: type: number format: float example: 9.3 maintainability_score: type: number format: float example: 9.1 # === CORE REQUEST/RESPONSE SCHEMAS === PingRequest: type: object properties: message: type: string example: "Enhanced connectivity test" include_analytics: type: boolean default: true performance_benchmark: type: boolean default: true PingResponse: type: object properties: status: type: string example: "enhanced_pong" timestamp: type: string format: date-time response_time_ms: type: number format: float example: 23.7 server_info: type: object properties: total_tools: type: integer example: 16 advanced_tools: type: integer example: 5 standard_tools: type: integer example: 11 cequence_analytics: type: object properties: gateway_status: type: string example: "active" analytics_enabled: type: boolean example: true performance_tracking: type: boolean example: true HealthResponse: type: object properties: status: type: string example: "revolutionary_healthy" service: type: string example: "multi-agent-orchestrator-cequence" version: type: string example: "3.0.0-CEQUENCE-ENHANCED" deployment_info: type: object properties: platform: type: string example: "Smithery + Cequence AI Gateway" total_tools: type: integer example: 16 advanced_tools_active: type: integer example: 5 analytics_integration: type: string example: "Cequence AI Gateway - Enhanced" revolutionary_capabilities: type: object properties: autonomous_intelligence: type: boolean example: true evolutionary_optimization: type: boolean example: true predictive_automation: type: boolean example: true multi_cloud_orchestration: type: boolean example: true cequence_integration: type: object properties: gateway_connected: type: boolean example: true analytics_active: type: boolean example: true security_monitoring: type: boolean example: true performance_optimization: type: boolean example: true # === STANDARD SCHEMAS (INHERITED FROM ADVANCED SPEC) === AutonomousArchitectRequest: type: object required: - project_goals properties: project_goals: type: array items: type: string example: ["scalable microservices", "real-time processing", "AI-powered analytics"] constraints: type: array items: type: string example: ["budget under $5000/month", "latency under 100ms"] learning_objectives: type: array items: type: string example: ["optimize for performance", "learn user patterns"] AutonomousArchitectResponse: type: object properties: success: type: boolean architecture_id: type: string dynamic_dag: type: object cequence_insights: type: object properties: architecture_complexity_score: type: number format: float estimated_performance: type: object cost_optimization_recommendations: type: array items: type: string ProactiveQualityRequest: type: object required: - project_context properties: project_context: type: object quality_objectives: type: array items: type: string analytics_preferences: type: object properties: detailed_tracking: type: boolean default: true ProactiveQualityResponse: type: object properties: success: type: boolean policy_framework_id: type: string quality_policies: type: array items: type: object cequence_quality_analytics: type: object properties: quality_trend_analysis: type: object predictive_insights: type: array items: type: object EvolutionaryPromptRequest: type: object required: - base_prompt - optimization_goals properties: base_prompt: type: string optimization_goals: type: array items: type: string evolution_parameters: type: object EvolutionaryPromptResponse: type: object properties: success: type: boolean optimization_id: type: string evolved_prompts: type: array items: type: object cequence_evolution_analytics: type: object properties: optimization_efficiency: type: number format: float learning_velocity: type: number format: float LastMileCloudRequest: type: object required: - application_package - deployment_requirements properties: application_package: type: object deployment_requirements: type: object cloud_preferences: type: object LastMileCloudResponse: type: object properties: success: type: boolean deployment_id: type: string cloud_orchestration: type: object cequence_cloud_analytics: type: object properties: multi_cloud_cost_analysis: type: object performance_benchmarks: type: object security_compliance_score: type: number format: float # === MCP PROTOCOL SCHEMAS === MCPInitializeRequest: type: object properties: jsonrpc: type: string example: "2.0" id: type: string method: type: string example: "initialize" params: type: object properties: protocolVersion: type: string example: "2024-11-05" capabilities: type: object clientInfo: type: object MCPInitializeResponse: type: object properties: jsonrpc: type: string id: type: string result: type: object properties: protocolVersion: type: string capabilities: type: object properties: tools: type: object properties: listChanged: type: boolean total_tools: type: integer example: 16 advanced_tools: type: integer example: 5 serverInfo: type: object properties: name: type: string example: "multi-agent-orchestrator-cequence" version: type: string example: "3.0.0-CEQUENCE-ENHANCED" MCPListRequest: type: object properties: jsonrpc: type: string example: "2.0" id: type: string method: type: string example: "tools/list" MCPToolsListResponse: type: object properties: jsonrpc: type: string id: type: string result: type: object properties: tools: type: array items: type: object properties: name: type: string description: type: string category: type: string enum: [advanced, standard, mcp_protocol] inputSchema: type: object analytics_enabled: type: boolean example: true MCPToolCallRequest: type: object properties: jsonrpc: type: string id: type: string method: type: string example: "tools/call" params: type: object properties: name: type: string arguments: type: object MCPToolCallResponse: type: object properties: jsonrpc: type: string id: type: string result: type: object properties: content: type: array items: type: object cequence_execution_analytics: type: object properties: execution_time_ms: type: number format: float performance_score: type: number format: float resource_utilization: type: object # === ADDITIONAL STANDARD TOOL SCHEMAS === OrchestateTaskRequest: type: object required: - task_description properties: task_description: type: string agent_preferences: type: array items: type: string complexity_level: type: string enum: [simple, medium, complex, advanced] include_advanced: type: boolean default: true OrchestateTaskResponse: type: object properties: success: type: boolean orchestration_id: type: string agents_involved: type: array items: type: string execution_plan: type: array items: type: object cequence_orchestration_analytics: type: object properties: coordination_efficiency: type: number format: float agent_utilization: type: object GenerateArchitectureRequest: type: object required: - requirements properties: requirements: type: string complexity: type: string enum: [simple, medium, complex, enterprise] preferences: type: object GenerateArchitectureResponse: type: object properties: success: type: boolean architecture: type: object cequence_architecture_analytics: type: object properties: complexity_analysis: type: object performance_predictions: type: object AutoFixCodeRequest: type: object required: - code - error_message properties: code: type: string error_message: type: string context: type: string AutoFixCodeResponse: type: object properties: success: type: boolean fixed_code: type: string explanation: type: string confidence: type: number format: float cequence_fix_analytics: type: object properties: fix_effectiveness_score: type: number format: float learning_contribution: type: object CapabilitiesResponse: type: object properties: total_tools: type: integer example: 16 advanced_tools: type: integer example: 5 standard_tools: type: integer example: 11 revolutionary_capabilities: type: array items: type: string cequence_enhanced_features: type: array items: type: string example: ["real-time analytics", "predictive optimization", "security monitoring"] SystemStatusRequest: type: object properties: include_advanced: type: boolean default: true include_analytics: type: boolean default: true include_performance_metrics: type: boolean default: true SystemStatusResponse: type: object properties: status: type: string example: "revolutionary_healthy" timestamp: type: string format: date-time server: type: string orchestrator: type: object advanced_agents: type: object cequence_system_analytics: type: object properties: overall_system_health_score: type: number format: float example: 9.4 performance_metrics: type: object properties: average_response_time_ms: type: number format: float example: 127.3 throughput_requests_per_second: type: number format: float example: 450.7 error_rate_percentage: type: number format: float example: 0.02 resource_utilization: type: object properties: cpu_usage_percent: type: number format: float example: 34.7 memory_usage_percent: type: number format: float example: 28.9 disk_usage_percent: type: number format: float example: 15.3 security_monitoring: type: object properties: threats_detected_24h: type: integer example: 0 security_score: type: number format: float example: 9.8 compliance_status: type: string example: "fully_compliant" tags: - name: Advanced Tools description: | 5 Advanced AI Agents with Autonomous Intelligence These advanced tools represent enterprise-grade autonomous software development: - Advanced Application Generator - Orchestrates all agents for comprehensive creation - Autonomous Architect Agent - Self-evolving architecture with dynamic optimization - Proactive Quality Framework - Predictive quality assurance with policy-as-code - Evolutionary Prompt Engine - Self-improving prompts with genetic algorithms - Last Mile Cloud Agent - Autonomous multi-cloud deployment and verification All advanced tools include comprehensive Cequence analytics integration for enterprise observability. - name: Standard Tools description: | 11 Enhanced Standard Tools with Analytics Integration Core MCP functionality enhanced with Cequence AI Gateway analytics: - Multi-agent orchestration with performance monitoring - Architecture generation with cost optimization insights - Autonomous code healing with learning analytics - Comprehensive system monitoring and capability management - name: MCP Protocol description: | Enhanced MCP Protocol Implementation with Analytics Full Model Context Protocol compliance with Cequence enhancements: - Protocol initialization with capability negotiation - Tool discovery and execution with performance tracking - Resource management with analytics integration - name: Health & Monitoring description: | Enterprise-Grade Health Monitoring via Cequence Comprehensive system health and status monitoring with: - Real-time performance analytics and optimization insights - Security monitoring and threat detection - Resource utilization tracking and cost optimization - name: Analytics & Monitoring description: | Advanced Analytics Dashboard powered by Cequence AI Gateway Enterprise observability and analytics including: - Tool usage patterns and optimization recommendations - Performance trending and predictive analytics - Cost optimization and resource management insights - Security compliance monitoring and automated reporting