docs/architecture/index.md

metadata

title: Architecture
description: KGraph-MCP system architecture and design documentation

Architecture

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

🏗️ Architecture Sections

• :material-sitemap:{ .lg .middle } Overview

  ---

  High-level system architecture and component relationships.

  :octicons-arrow-right-24: Architecture Overview

• :material-layers:{ .lg .middle } Components

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  Detailed breakdown of system components and their responsibilities.

  :octicons-arrow-right-24: System Components

• :material-graph:{ .lg .middle } Knowledge Graph

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  Knowledge Graph design, schema, and integration patterns.

  :octicons-arrow-right-24: Knowledge Graph Architecture

• :material-robot:{ .lg .middle } AI Agents

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  Agent framework architecture and autonomous system design.

  :octicons-arrow-right-24: Agent Architecture

🎯 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