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Neo4j Knowledge Graph

by mjftw
wanted-features.md2.3 kB
# Wanted Features for Knowledge Graph Tools This document outlines additional features and tools that would enhance the functionality of the knowledge graph system. ## Query and Search Tools 1. **Entity Details Tool** - Retrieve comprehensive information about specific entities - Include all properties, labels, and relationships - Option to specify depth of relationship traversal - Support for multiple entity IDs in a single query ## Management Tools ## Validation and Schema Tools 5. **Schema Validation Tool** - Validate entity and relationship structures before creation - Check property types and required fields - Verify relationship constraints - Preview potential schema violations 6. **Schema Management Tool** - Define and modify property constraints - Create and update relationship types - Manage indexes and unique constraints - Version control for schema changes ## Analysis Tools 7. **Graph Analytics Tool** - Basic graph metrics (centrality, density, etc.) - Path finding between entities - Community detection - Pattern matching capabilities 8. **Visualization Tool** - Generate graph visualizations - Interactive exploration capabilities - Customizable layouts and styling - Export options for different formats ## Integration Features 9. **Batch Operations** - Bulk import/export functionality - Transaction management - Progress tracking for long-running operations - Error handling and rollback capabilities 10. **API Integration** - REST API endpoints for all operations - WebSocket support for real-time updates - Authentication and authorization - Rate limiting and quota management ## Implementation Priority High Priority: - Entity Search Tool - Entity Details Tool - Entity Update Tool - Schema Validation Tool Medium Priority: - Entity Deletion Tool - Batch Operations - Schema Management Tool - Graph Analytics Tool Low Priority: - Visualization Tool - API Integration ## Notes for Implementation - All tools should follow the existing MCP protocol - Tools should include comprehensive error handling - Documentation should be provided for each tool - Consider performance implications for large graphs - Maintain backward compatibility with existing tools

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