New in Connect AI: Enhanced MCP Instructions Improves AI Understanding Across Hundreds of Connectors
Blog post from CData
CData has enhanced its managed MCP platform, Connect AI, with source-specific instructions for hundreds of enterprise connectors, aiming to help AI applications understand schemas, metadata, entity relationships, dynamic objects, and common operations before querying data. The enhancement addresses common large language model limitations, including difficulty navigating large catalogs, discovering relationships, applying exact filters, avoiding invalid queries, and safely performing write operations, which can otherwise cause failed requests, excessive API use, high token consumption, and costly full-dataset scans. Drawing on more than a decade of connector development, the instructions provide mapped core entities, dynamic-schema discovery steps, progressive query guidance, stored-procedure examples, and relationship models tailored to systems such as Salesforce, NetSuite, and ServiceNow. CData says the update improves accuracy, response speed, cost predictability, and time to value through semantic metadata, query push-down, derived views, curated multi-source data collections, custom tools, and document access within AI workflows.
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