The Counterintuitive Key to Agentic AI: Simple SQL and CData MCP

CData positions its Model Context Protocol (MCP) integration as infrastructure for connecting AI agents to enterprise applications through SQL rather than custom API integrations or replicated data warehouses. Its more than 300 connectors translate SQL queries into the APIs of systems such as Salesforce, Jira, and ERP platforms, while exposing metadata, relationships, and constraints that can help language models understand and manipulate business data. The approach is intended to support both data retrieval and operational actions, such as updating sales records or creating project tasks. CData also emphasizes that access uses a user’s existing credentials and source-system role-based controls, keeps data in its original systems, and enables logging and tracing of AI actions for governance.

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