A newer version of the Gradio SDK is available:
6.2.0
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
:material-graph-outline:{ .lg .middle } Knowledge Graph Powered
Semantic representation of MCP primitives (Tools, Prompts, Resources, Roots, Sampling) enabling intelligent tool discovery and orchestration.
:material-robot-industrial:{ .lg .middle } AI Agent Framework
Autonomous agents (Planner, Selector, Executor, Supervisor) that understand goals, discover tools, and execute complex workflows safely.
:material-rocket-launch:{ .lg .middle } Quick Start
Get KGraph-MCP running in minutes with our comprehensive setup guide and development environment automation.
:material-cog-outline:{ .lg .middle } MCP Integration
Native integration with Model Context Protocol servers for seamless tool orchestration and dynamic reasoning capabilities.
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
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
Core Platform
- Python 3.11.8 with
uvpackage management - FastAPI for high-performance API backend
- Gradio for interactive web interfaces
- SQLAlchemy 2.1+ for data persistence
- Python 3.11.8 with
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
Quick Navigation
:material-book-open-page-variant: Documentation
Complete user and developer guides
-
Comprehensive API documentation
:material-timeline-check: Project Progress
Sprint reports and development metrics
:material-tools: Development Workflow
Tools, automation, and best practices
Getting Started
Ready to explore KGraph-MCP? Here's how to get started:
- Installation Guide - Set up your development environment
- Quick Start Tutorial - Build your first workflow
- Architecture Overview - Understand the system design
- Developer Guide - 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.