S&P Global Energy details conversational AI for structured data with Databricks Genie Agents

S&P Global Energy successfully implemented Databricks Genie Agents and the Model Context Protocol (MCP) to enable natural language access to its complex structured data estate. This architecture allows domain experts to curate conversational AI endpoints directly, significantly shortening time-to-market for data products from months to days. By exposing Genie Agents as managed MCP servers and using a FastMCP proxy, S&P Global achieved governed, cross-domain queries while preserving Unity Catalog governance. This approach addresses the challenges of traditional text-to-SQL pipelines and custom APIs by letting SMEs productize their knowledge.