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

by Marie Forshaw | May 15, 2025

Key to Agentic AI

How CData unlocks complex AI actions through the universal language of data.

Most believe that unlocking AI within the enterprise means wrestling with a tangled web of custom API integrations or resorting to cumbersome, insecure data warehousing. The common wisdom suggests a long, expensive journey of bespoke coding or data replication just to let AI peek at business operations.

But actually, the key to unleashing truly *agentic* AI – AI that doesn't just talk, but *acts* securely on your behalf within your core systems – lies in a standardized, universal language for data access: SQL. And the missing piece of infrastructure to make this a reality already exists.

CData with MCP: The universal translator for your enterprise data

Think of your valuable enterprise data – customer records in Salesforce, project tasks in Jira, financial figures in your ERP – like vital resources scattered across isolated islands, each speaking a different dialect (their unique APIs). LLMs, despite their intelligence, are like brilliant strategists stranded on the mainland, unable to easily visit these islands or coordinate activities between them. Building custom bridges (API integrations) to each island is slow, costly, and creates a maintenance nightmare. This leaves AI's potential largely unrealized, unable to impact your operational efficiency or bottom line directly.

CData acts as the master key and universal translator. For over a decade, we've built specialized connectors – think of them as skilled data diplomats – for over 300 enterprise systems. These connectors speak fluent SQL on one side, allowing AI models (through the Model Context Protocol, MCP) to make sophisticated data requests in a language they understand. On the other side, our connectors expertly translate these SQL queries into the specific dialect of each system's API, handling inconsistencies and limitations intelligently.

Beyond translation: Enabling true agency

This isn't just about simple translation; it's about enabling *action*. CData doesn't just show AI the data; it provides the rich context – the metadata, relationships, and constraints – needed for the AI to understand *what* the data represents and *how* it can be manipulated. When integrated via MCP, LLMs gain superpowers: they can introspect data structures, dynamically write and execute complex SQL queries, and even perform write operations, all while acting as the user.

Imagine an AI assistant not just telling you about a sales opportunity, but updating its status in Salesforce for you. Or not just summarizing project risks, but creating a follow-up task in Jira. This transforms AI from a passive 'fluent librarian' into an active 'field agent' working directly within your established workflows.

The strategic value: Secure, governed, live data access

Crucially, CData constructs the secure, guarded channels necessary for this revolution. Think of it not as leaky, makeshift pipes (like brittle code or data copies), but as robust, embassy-grade conduits directly to your live data 'islands'. Access is granted only through the user's own credentials – their official passport – ensuring every interaction respects the native security protocols of the source system.

This means:

  • Security by Design: AI inherits the user's Access controls (via Role Based Access Control, or RBAC) from the source system are automatically enforced—no privilege overreach.
  • No Risky Data Copies: Data stays where it belongs, minimizing attack surfaces and simplifying
  • Full Auditability: Every action taken by the AI via CData can be logged and traced, ensuring enterprise-grade governance.

In essence, CData provides the missing infrastructure to bridge the gap between AI's potential and its practical, secure application in the enterprise. It allows you to bypass the perceived complexity of custom integrations and the security risks of data duplication.

Unlock your agentic AI future

Stop thinking about enterprise AI integration as a bespoke, high-risk endeavor. The foundation for secure, scalable, and truly agentic AI is already here. By letting your data speak SQL through CData, you empower your AI not just to converse, but to act – securely, intelligently, and transformatively – across your entire business landscape.

Try out the power of SQL in your agentic workflows with our free beta MCP servers at cdata.com/solutions/mcp.