Architecture¶

Comprehensive documentation of KGraph-MCP's system architecture, design patterns, and technical implementation details.

🏗️ Architecture Sections¶

🎯 Core Design Principles¶

KGraph-MCP is built on these foundational principles:

1. Knowledge-Driven Architecture¶

• Semantic representation of MCP primitives
• Graph-based tool discovery and orchestration
• Intelligent tool selection and routing

2. Agent-Based Autonomy¶

• Specialized AI agents for different functions
• Self-orchestrating tool networks
• Autonomous task planning and execution

3. Modular & Extensible¶

• Plugin-based architecture
• Clean separation of concerns
• Easy integration with existing MCP servers

4. Performance & Scalability¶

• Efficient graph operations
• Asynchronous processing
• Horizontal scaling capabilities

🧩 System Components¶

graph TB
    subgraph "KGraph-MCP Architecture"
        subgraph "Presentation Layer"
            gradio[Gradio UI]
            fastapi[FastAPI Server]
        end

        subgraph "Agent Layer"
            planner[Planner Agent]
            selector[Selector Agent]
            executor[Executor Agent]
            supervisor[Supervisor Agent]
        end

        subgraph "Knowledge Layer"
            kg[Knowledge Graph]
            embeddings[Embedding Service]
            reasoning[Reasoning Engine]
        end

        subgraph "Integration Layer"
            mcp[MCP Connectors]
            tools[Tool Registry]
            servers[MCP Servers]
        end
    end

    gradio --> fastapi
    fastapi --> planner
    planner --> selector
    selector --> executor
    executor --> supervisor

    planner --> kg
    selector --> kg
    executor --> tools
    supervisor --> kg

    kg --> embeddings
    kg --> reasoning
    tools --> mcp
    mcp --> servers

📋 Architecture Patterns¶

• Event-Driven Architecture - Asynchronous event processing
• Microservices Pattern - Loosely coupled, independently deployable services
• Repository Pattern - Data access abstraction
• Strategy Pattern - Pluggable algorithms and behaviors
• Observer Pattern - Real-time status updates and monitoring

🔗 Integration Points¶

• MCP Protocol - Model Context Protocol compliance
• RESTful APIs - HTTP-based external integrations
• WebSocket - Real-time bidirectional communication
• Graph Databases - Native graph storage and querying
• Vector Databases - Semantic search and similarity

📚 Related Documentation¶

• Developer Guide - Development and contribution
• API Reference - Complete API documentation
• User Guide - Getting started guide