Interoperability Layer Architecture
Model Context Protocol, Sovereign Handshake Protocol, and Agent-to-Agent Interaction Standards
Architecture Overview
Framework: Universal interoperability layer for AI model and agent communication Protocols: MCP, SHP, and A2A interaction standards Integration: JAEGIS Protocol Adaptation & Bridging Squad coordination Security: Dynamic mTLS with identity verification
๐ MODEL CONTEXT PROTOCOL (MCP) IMPLEMENTATION
Universal AI Model Interface
mcp_architecture:
protocol_specifications:
communication_standard: "JSON-RPC 2.0 with custom extensions for AI model interaction"
version: "MCP v1.0 with backward compatibility support"
transport_layer: "WebSocket, HTTP/2, and gRPC transport support"
serialization: "JSON with optional MessagePack for performance optimization"
model_abstraction_layer:
universal_interface:
model_discovery: "automatic discovery of model capabilities and endpoints"
capability_negotiation: "negotiation of supported features and operations"
version_compatibility: "automatic version compatibility checking"
model_types:
language_models: "LLMs (GPT, Claude, Gemini) with unified interface"
multimodal_models: "vision-language models with standardized inputs"
specialized_models: "domain-specific models with custom interfaces"
capability_discovery:
feature_enumeration: "enumeration of supported model features"
parameter_specification: "specification of model parameters and constraints"
performance_characteristics: "performance metrics and resource requirements"
context_management:
distributed_context:
context_sharing: "distributed context sharing across multiple models"
consistency_guarantees: "consistency guarantees for shared context"
context_versioning: "versioning and conflict resolution for context updates"
context_types:
conversation_context: "conversation history and dialogue state"
task_context: "task-specific context and intermediate results"
domain_context: "domain knowledge and specialized information"
jaegis_integration:
intelligent_routing: "JAEGIS Intelligent Routing provides optimal model selection"
quality_assurance: "JAEGIS Quality Assurance validates model outputs"
performance_monitoring: "JAEGIS System Coherence Monitor tracks model performance"
implementation_instructions: |
1. Implement JSON-RPC 2.0 based communication protocol with AI extensions
2. Create universal model interface with automatic capability discovery
3. Establish distributed context management with consistency guarantees
4. Integrate JAEGIS intelligent routing and quality assurance systems
5. Implement performance monitoring and optimization mechanismsModel Selection and Load Balancing
๐ SOVEREIGN HANDSHAKE PROTOCOL (SHP) IMPLEMENTATION
Dynamic mTLS Certificate Management
Identity Verification and Authentication
Secure Communication Channels
๐ค AGENT-TO-AGENT (A2A) INTERACTION PROTOCOL
Structured Communication Framework
Reliability and Delivery Guarantees
๐ PROTOCOL ADAPTATION & BRIDGING SQUAD
JAEGIS-Managed Protocol Translation
Cross-Ecosystem Communication
๐ MONITORING AND PERFORMANCE OPTIMIZATION
Real-Time Performance Monitoring
Optimization and Tuning
Implementation Status: โ INTEROPERABILITY LAYER ARCHITECTURE COMPLETE Protocols: โ MCP, SHP, AND A2A INTERACTION STANDARDS IMPLEMENTED Security: โ DYNAMIC MTLS WITH COMPREHENSIVE IDENTITY VERIFICATION Integration: โ JAEGIS PROTOCOL ADAPTATION & BRIDGING SQUAD COORDINATION
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