---
title: KGraph-MCP - The Self-Orchestrating Tool Network
description: An intelligent orchestration layer for MCP servers using Knowledge Graphs and AI Agents for autonomous tool discovery, planning, and execution.
---

# KGraph-MCP: The Self-Orchestrating Tool Network

<div class="grid cards" markdown>

-   :material-graph-outline:{ .lg .middle } **Knowledge Graph Powered**

    ---

    Semantic representation of MCP primitives (Tools, Prompts, Resources, Roots, Sampling) 
    enabling intelligent tool discovery and orchestration.

    [:octicons-arrow-right-24: Learn about our Architecture](architecture/overview.md)

-   :material-robot-industrial:{ .lg .middle } **AI Agent Framework**

    ---

    Autonomous agents (Planner, Selector, Executor, Supervisor) that understand goals, 
    discover tools, and execute complex workflows safely.

    [:octicons-arrow-right-24: Explore Agent Framework](architecture/agents.md)

-   :material-rocket-launch:{ .lg .middle } **Quick Start**

    ---

    Get KGraph-MCP running in minutes with our comprehensive setup guide 
    and development environment automation.

    [:octicons-arrow-right-24: Get Started](getting-started.md)

-   :material-cog-outline:{ .lg .middle } **MCP Integration**

    ---

    Native integration with Model Context Protocol servers for seamless 
    tool orchestration and dynamic reasoning capabilities.

    [:octicons-arrow-right-24: View MCP Integration](architecture/mcp-integration.md)

</div>

## Project Vision

**The Challenge:** As AI agents become more capable, they need access to a vast and diverse array of tools (MCP Servers) to interact with the world and perform complex tasks. However, managing, discovering, and orchestrating thousands of such tools is a significant challenge.

**Our Solution:** KGraph-MCP is an intelligent orchestration layer that uses a **Knowledge Graph** to semantically represent and manage MCP primitives, combined with **AI Agents** that can understand user goals and autonomously execute complex workflows.

!!! tip "Innovation with MCP"
    Our project innovates by treating MCP primitives as first-class citizens within a queryable, semantic knowledge graph. This allows agents to move beyond simple tool invocation to sophisticated understanding of *what* tools exist, *how* to use them, *what data* they need, and *how they can reason*.

## Current Development Status

=== "✅ Foundation Complete"

    - **Enterprise-Grade Development Environment**: Python 3.11.8 with `uv`, comprehensive tooling
    - **Autonomous Project Management**: Claude 4.0 PM with TaskMaster system
    - **Quality Assurance Pipeline**: Black, Ruff, MyPy, comprehensive testing
    - **Application Framework**: FastAPI + Gradio integrated platform

=== "🚧 In Progress"

    - **Knowledge Graph Core**: Semantic MCP primitive representation
    - **Agent Framework**: Planner, Selector, Executor, Supervisor agents
    - **Tool Discovery**: Dynamic MCP server discovery and registration
    - **Workflow Orchestration**: Complex multi-tool workflow execution

=== "🔮 Planned"

    - **Dynamic Provisioning**: Automatic MCP server deployment
    - **Cost & Compliance**: Resource optimization and policy enforcement
    - **Self-Improvement**: Learning from feedback and new data
    - **Production Deployment**: Enterprise-ready orchestration platform

## Architecture Overview

```mermaid
graph TB
    subgraph "User Interface"
        UI[Gradio UI]
        API[FastAPI Backend]
    end
    
    subgraph "AI Agent Framework"
        PA[Planner Agent]
        SA[Selector Agent]
        EA[Executor Agent]
        SUA[Supervisor Agent]
    end
    
    subgraph "Knowledge Graph Core"
        KG[(Knowledge Graph)]
        Tools[Tools]
        Prompts[Prompts]
        Resources[Resources]
        Roots[Roots]
    end
    
    subgraph "MCP Ecosystem"
        MCP1[MCP Server 1]
        MCP2[MCP Server 2]
        MCP3[MCP Server N...]
    end
    
    UI --> API
    API --> PA
    PA --> SA
    SA --> KG
    SA --> EA
    EA --> SUA
    EA --> MCP1
    EA --> MCP2
    EA --> MCP3
    
    KG --> Tools
    KG --> Prompts
    KG --> Resources
    KG --> Roots
```

## Key Features

### 🧠 Intelligent Tool Discovery
- Semantic search across MCP tools and capabilities
- Context-aware tool recommendation
- Dependency resolution and workflow planning

### 🤖 Autonomous Execution
- Natural language goal interpretation
- Multi-step workflow orchestration
- Error handling and recovery mechanisms

### 🔒 Safe & Secure
- Sandboxed execution environments
- Resource boundary enforcement (Roots)
- Comprehensive audit logging

### 📊 Development Excellence
- **100% Type Safety**: Full MyPy strict mode compliance
- **Comprehensive Testing**: 80%+ code coverage requirements
- **AI-Assisted Development**: Claude 4.0 autonomous project management
- **Quality Automation**: 30+ justfile commands for workflow automation

## Technology Stack

<div class="grid cards" markdown>

-   **Core Platform**
    
    - Python 3.11.8 with `uv` package management
    - FastAPI for high-performance API backend
    - Gradio for interactive web interfaces
    - SQLAlchemy 2.1+ for data persistence

-   **AI & Knowledge**
    
    - Neo4j for Knowledge Graph storage
    - Qdrant for vector embeddings
    - OpenAI/Azure OpenAI for LLM inference
    - Transformers for local model support

-   **Development & Quality**
    
    - Black 25.1 + Ruff for code quality
    - MyPy strict mode for type safety
    - Pytest with comprehensive coverage
    - Pre-commit hooks for quality gates

-   **Orchestration & Deployment**
    
    - Docker for containerization
    - GitHub Actions for CI/CD
    - Kubernetes for production deployment
    - Modal Labs for serverless compute

</div>

## Quick Navigation

<div class="grid cards" markdown>

-   [:material-book-open-page-variant: **Documentation**](user-guide/installation.md)
    
    Complete user and developer guides

-   [:material-api: **API Reference**](api/fastapi.md)
    
    Comprehensive API documentation

-   [:material-timeline-check: **Project Progress**](progress/current-status.md)
    
    Sprint reports and development metrics

-   [:material-tools: **Development Workflow**](workflow/development.md)
    
    Tools, automation, and best practices

</div>

## Getting Started

Ready to explore KGraph-MCP? Here's how to get started:

1. **[Installation Guide](user-guide/installation.md)** - Set up your development environment
2. **[Quick Start Tutorial](user-guide/quick-start.md)** - Build your first workflow  
3. **[Architecture Overview](architecture/overview.md)** - Understand the system design
4. **[Developer Guide](developer-guide/setup.md)** - Contributing to the project

!!! success "Enterprise Ready"
    KGraph-MCP is built with enterprise-grade standards from day one, featuring comprehensive testing, security scanning, type safety, and automated quality assurance.

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<div class="center" markdown>
**Interested in contributing?** Check out our [Contributing Guide](developer-guide/contributing.md) or explore our [Active Tasks](tasks/active.md).