How to Build Data Connectivity into Modern Agentic Architecture
Blog post from CData
CData’s MCP Servers are presented as a connectivity layer for AI agents that allows them to access live data and perform actions across more than 350 enterprise applications without centralizing or replicating data. Using an agent framework consisting of roles, data and context, actions, channels, and guardrails, the approach focuses primarily on extending agents’ access to external systems while leaving their business role and user interface to the host platform. CData connectors translate SQL generated by large language models into source-specific API calls, enabling agents to query systems such as Salesforce, NetSuite, Adobe Campaign, Zendesk, Jira, and ServiceNow and to update records or trigger workflows across them. The model is designed to preserve source-system context, user permissions, governance controls, and audit trails, while using SQL as a common interface intended to simplify multi-system operations and avoid custom integrations or data preloading.
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