This conversation at MCP Dev Summit 2026 explores graph databases, agent frameworks and open standards at the Agentic AI Foundation kickoff. Stephen Chin of Neo4j, vice president of developer relations, appears in the theCUBE Research interview with hosts John Furrier and Gemma Allen. Chin explains Neo4j's role in GraphRAG, their participation in the Agentic AI Foundation and how graph-backed context and open standards move artificial intelligence from prototypes into production-ready systems. Chin highlights open standards and cloud native architectures as essential to scale AI responsibly. They emphasize the role of the Agentic AI Foundation and LF AI and Data as coordinating bodies. They warn about security risks arising from ad hoc agent projects and recommend guardrails, model openness frameworks and graph-based context as practical solutions. The discussion also notes the accelerating fusion of cloud native and AI native ecosystems and the need to upskill developers to deploy production-ready systems.