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title: Features |
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description: Comprehensive overview of KGraph-MCP capabilities and features |
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--- |
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# KGraph-MCP Features |
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KGraph-MCP provides a comprehensive platform for intelligent MCP server orchestration with enterprise-grade capabilities. |
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## Core Features |
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### π§ Intelligent Tool Discovery |
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- **Semantic Search**: Find tools based on capabilities and context |
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- **Dependency Resolution**: Automatic workflow planning and dependency management |
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- **Context-Aware Recommendations**: Smart tool suggestions based on user goals |
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### π€ Autonomous Agent Framework |
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- **Planner Agent**: Natural language goal interpretation and strategy development |
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- **Selector Agent**: Tool and resource discovery via Knowledge Graph queries |
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- **Executor Agent**: Safe tool execution with simulation capabilities |
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- **Supervisor Agent**: Monitoring, quality assurance, and error recovery |
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### π Knowledge Graph Core |
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- **MCP Primitive Modeling**: Semantic representation of Tools, Prompts, Resources, Roots, and Sampling |
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- **Dynamic Relationships**: Real-time relationship discovery and updates |
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- **Query Capabilities**: Advanced graph queries for complex discovery scenarios |
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- **Version Management**: Track changes and evolution of MCP primitives |
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### π Enterprise Security |
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- **Sandboxed Execution**: Isolated environments for safe tool execution |
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- **Resource Boundaries**: URI-based access control and scope limitation |
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- **Audit Logging**: Comprehensive activity tracking and compliance reporting |
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- **Policy Enforcement**: Configurable rules and constraints |
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## Development Excellence |
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### π Project Management |
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- **Autonomous Task Management**: Claude 4.0-powered project management |
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- **Sprint Planning**: Automated sprint creation and task distribution |
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- **Progress Tracking**: Real-time metrics and completion reporting |
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- **GitHub Integration**: Seamless issue and project board synchronization |
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### π οΈ Development Workflow |
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- **30+ Automation Commands**: Comprehensive justfile-based workflow |
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- **Quality Gates**: Automated linting, formatting, and type checking |
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- **Test-Driven Development**: 80%+ coverage requirements |
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- **Security Scanning**: Vulnerability detection and dependency checking |
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### π§ Technology Integration |
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- **FastAPI Backend**: High-performance API with automatic documentation |
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- **Gradio Frontend**: Interactive web interface for agent interaction |
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- **Neo4j Knowledge Graph**: Scalable graph database for semantic storage |
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- **Vector Search**: Qdrant integration for semantic similarity |
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## Platform Capabilities |
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### Integration Features |
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- **MCP Server Discovery**: Automatic detection and registration |
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- **Protocol Adaptation**: Support for various MCP implementations |
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- **Resource Management**: Efficient allocation and scheduling |
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- **Error Handling**: Robust error recovery and fallback mechanisms |
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### Monitoring & Analytics |
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- **Performance Metrics**: Real-time execution statistics |
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- **Usage Analytics**: Tool popularity and effectiveness tracking |
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- **Cost Optimization**: Resource usage monitoring and optimization |
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- **Health Monitoring**: System health and availability tracking |
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### Extensibility |
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- **Plugin Architecture**: Easy addition of new capabilities |
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- **Custom Agents**: Framework for building specialized agents |
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- **API Extensions**: RESTful APIs for external integration |
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- **Webhook Support**: Event-driven integration capabilities |
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## Future Roadmap |
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### MVP 2-5 Planned Features |
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- **Dynamic MCP Provisioning**: Automatic server deployment and scaling |
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- **Advanced Workflow Engine**: Complex multi-step orchestration |
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- **Machine Learning Integration**: Predictive tool selection and optimization |
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- **Enterprise Console**: Administrative interface for large deployments |
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- **Multi-Tenant Support**: Isolated environments for different organizations |
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--- |
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Ready to explore these features? Check out our [Getting Started Guide](getting-started.md) or dive into the [Architecture Overview](architecture/overview.md). |
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