Aerospike Graph, enhanced by the Model Context Protocol (MCP), offers high performance and scalability for graph workloads, facilitating an easier entry for users new to graph databases by employing natural language for data exploration and schema refinement. MCP, introduced by Anthropic in 2024, is an open-source framework that allows large language model (LLM) agents to interact with external systems like Aerospike Graph through defined tools, resources, and prompts, lowering integration barriers and creating context-aware applications. The framework comprises components that enable AI to perform functions, access data, and utilize resources, thus providing an intuitive way to explore graph data without requiring deep database expertise. A demonstration using the Aerospike Graph Service outlines its capabilities, including querying and schema inspection, while showing how real-world questions can be answered using the graph model. The protocol supports developers by offering insights into data model optimization and query performance, making it a valuable tool for enhancing the efficiency of database interactions. With MCP's ability to bridge LLMs and graph databases, Aerospike Graph presents a future of intelligent data management, allowing for expanded functionalities like subgraph visualization and cloud deployment.