Secure MCP Infrastructure for B2B AI Enabled by CData Connect AI

Model Context Protocol (MCP) is presented as a standardized framework for connecting large language models, AI agents, and automation tools to live enterprise data while preserving business context, security controls, and auditability. CData Connect AI is described as a managed MCP platform that provides governed, real-time access to more than 300 data sources without replicating data, inheriting authentication, permissions, and security policies from underlying systems. The platform aims to address limitations of traditional APIs and batch ETL, including delayed data, lost semantics, fragmented integrations, and inconsistent governance, through centralized connectivity, identity-based logging, role-based access, and secure tool invocation. It supports legacy, cloud, on-premises, and hybrid environments through standard protocols such as SQL, ODBC, and JDBC, and is positioned for uses ranging from embedded product features to sales, finance, and IT automation. The material also emphasizes compliance alignment, risk mitigation for threats such as permission leakage and data exfiltration, and future support for multi-agent workflows, lifecycle management, semantic intelligence, and evolving AI governance requirements.

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