docs/features.md

metadata

title: Features
description: Comprehensive overview of KGraph-MCP capabilities and features

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

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