CData Connect AI

CData Connect AI is an enterprise gateway that unifies model routing, MCP tool access, business context and governance, so AI agents get accurate, policy-controlled answers from connected systems at lower token cost.

CData Connect AI is an enterprise gateway that sits between AI agents, language models and the business systems they need to read. Built on CData's MCP platform, it routes each request through a single control plane where connectivity, context, governance and cost controls are applied together. The pitch is that a gateway can only govern what it can reach, so the product begins at the source connection and carries company and system context with every call. In practice, the platform combines several layers. A model gateway directs requests to an appropriate model, with budgets, caching and policy enforced centrally, and aims to send tasks to the lowest-cost model that fits. An MCP gateway gives agents controlled access to specific tools and toolkits. A context engine stores semantic definitions, metric logic and working knowledge that never reached a schema, so every agent reuses the same understanding. A virtual data layer lets teams model and shape connected data for each use case, and joins, filters and calculations run inside CData so the model reads fewer tokens. Governance is a major theme. Identity is checked for each user and agent at runtime, down to the source system, and policy can be written in natural language or code and applied at the model, the tool and the individual record. The site lists agents such as Claude Code, LangChain, CrewAI, Codex, Cursor and Copilot, models from Anthropic, OpenAI, Google, DeepSeek, Mistral, Meta's Llama family, Qwen and xAI plus local deployments, and systems including Salesforce, NetSuite, ServiceNow, Workday, Snowflake and Databricks. The audience is IT, data and platform teams at larger organizations that need AI deployments to be accurate, auditable and cost-conscious rather than a collection of unmanaged connections. Compared with basic MCP servers or standalone LLM proxies, CData's differentiator is the combination of a long-standing connector library with governance and context in one product. Teams wanting a lightweight, self-serve model router may find it more than they need. A free trial and an early access request are both offered, and the company cites a customer evaluation-to-rollout window of six to eight weeks.