Skip to content

KGraph-MCP Features

KGraph-MCP provides a comprehensive platform for intelligent MCP server orchestration with enterprise-grade capabilities.

Core Features

🧠 Intelligent Tool Discovery

  • Semantic Search: Find tools based on capabilities and context
  • Dependency Resolution: Automatic workflow planning and dependency management
  • Context-Aware Recommendations: Smart tool suggestions based on user goals

🤖 Autonomous Agent Framework

  • Planner Agent: Natural language goal interpretation and strategy development
  • Selector Agent: Tool and resource discovery via Knowledge Graph queries
  • Executor Agent: Safe tool execution with simulation capabilities
  • Supervisor Agent: Monitoring, quality assurance, and error recovery

📊 Knowledge Graph Core

  • MCP Primitive Modeling: Semantic representation of Tools, Prompts, Resources, Roots, and Sampling
  • Dynamic Relationships: Real-time relationship discovery and updates
  • Query Capabilities: Advanced graph queries for complex discovery scenarios
  • Version Management: Track changes and evolution of MCP primitives

🔒 Enterprise Security

  • Sandboxed Execution: Isolated environments for safe tool execution
  • Resource Boundaries: URI-based access control and scope limitation
  • Audit Logging: Comprehensive activity tracking and compliance reporting
  • Policy Enforcement: Configurable rules and constraints

Development Excellence

📋 Project Management

  • Autonomous Task Management: Claude 4.0-powered project management
  • Sprint Planning: Automated sprint creation and task distribution
  • Progress Tracking: Real-time metrics and completion reporting
  • GitHub Integration: Seamless issue and project board synchronization

🛠️ Development Workflow

  • 30+ Automation Commands: Comprehensive justfile-based workflow
  • Quality Gates: Automated linting, formatting, and type checking
  • Test-Driven Development: 80%+ coverage requirements
  • Security Scanning: Vulnerability detection and dependency checking

🔧 Technology Integration

  • FastAPI Backend: High-performance API with automatic documentation
  • Gradio Frontend: Interactive web interface for agent interaction
  • Neo4j Knowledge Graph: Scalable graph database for semantic storage
  • Vector Search: Qdrant integration for semantic similarity

Platform Capabilities

Integration Features

  • MCP Server Discovery: Automatic detection and registration
  • Protocol Adaptation: Support for various MCP implementations
  • Resource Management: Efficient allocation and scheduling
  • Error Handling: Robust error recovery and fallback mechanisms

Monitoring & Analytics

  • Performance Metrics: Real-time execution statistics
  • Usage Analytics: Tool popularity and effectiveness tracking
  • Cost Optimization: Resource usage monitoring and optimization
  • Health Monitoring: System health and availability tracking

Extensibility

  • Plugin Architecture: Easy addition of new capabilities
  • Custom Agents: Framework for building specialized agents
  • API Extensions: RESTful APIs for external integration
  • Webhook Support: Event-driven integration capabilities

Future Roadmap

MVP 2-5 Planned Features

  • Dynamic MCP Provisioning: Automatic server deployment and scaling
  • Advanced Workflow Engine: Complex multi-step orchestration
  • Machine Learning Integration: Predictive tool selection and optimization
  • Enterprise Console: Administrative interface for large deployments
  • Multi-Tenant Support: Isolated environments for different organizations

Ready to explore these features? Check out our Getting Started Guide or dive into the Architecture Overview.