FalkorDB introduces an innovative approach for querying graph databases using natural language through its Text-to-Cypher tool, which converts plain English questions into executable Cypher queries. This open-source solution allows users to interact with the FalkorDB graph database without writing complex queries, leveraging the speed of FalkorDB and the flexibility of the Redis protocol. Users can deploy the system with a single Docker command, integrating Text-to-Cypher into development environments like VSCode or Claude Desktop via the Model Context Protocol (MCP) server. This setup supports a REST API for direct control and real-time feedback using Server-Sent Events (SSE), as well as MCP server integration for AI assistant collaboration. The tool provides potential applications in various fields, such as knowledge base queries, customer support, research tools, and enhanced chatbots, offering a versatile interface for accessing and analyzing graph data.