CData Software, a leading enterprise data connectivity provider, has announced the availability of Model Context Protocol (MCP) connectivity through its Connect AI platform directly within Microsoft Copilot Studio and Microsoft Agent 365. This integration enables enterprises to build and deploy intelligent AI agents capable of securely reading, writing, and acting on real-time data across more than 350 enterprise systems, including Salesforce, Snowflake, NetSuite, SAP, and ServiceNow.

As organizations accelerate efforts to adopt AI agents for automating complex business processes, they face three major challenges: connectivity, context, and control. Connect AI addresses all three by offering a unified MCP platform that delivers universal connectivity, deep semantic understanding of system metadata and relationships, and enterprise-grade governance integrated with Microsoft Agent 365.

“AI agents are only as valuable as the data they can access and understand,” said Amit Sharma, CEO of CData. “With Connect AI integrated into Microsoft Copilot Studio and Microsoft Agent 365, we’re removing the barriers preventing enterprises from deploying intelligent agents at scale. Our platform teaches AI agents the schemas, relationships, and business logic within each system, enabling advanced multi-source analysis previously impossible.”

“By integrating with CData’s Connect AI, customers can build agents in Copilot Studio that connect seamlessly to hundreds of enterprise data sources,” added Sabin Nair, Group Product Manager at Microsoft. “These agents leverage semantic intelligence for richer context and more actionable insights, while IT teams maintain full governance via Agent 365.”

Universal Connectivity Meets Enterprise Requirements

Connect AI uniquely supports enterprise-scale deployments through seven key capabilities:

Connectivity

  • One universal toolset for 350+ systems: A unified MCP platform with pre-built, fully maintained connectors covering every endpoint and API version.
  • Cross-system intelligence: Agents perform complex multi-source queries through a semantic interface that handles schema translation, protocol differences, pagination, and optimization—avoiding token overload and removing the need for complex prompt engineering.

Context

  • Semantic-rich understanding: Agents gain clean reasoning through system-level metadata, schemas, entity relationships, and business logic—without context flooding.
  • Support for unstructured data: Agents directly read, edit, and track revisions for files without heavy RAG pipelines.

Control

  • Identity-first security: Source-system RBAC flows through unchanged with OAuth/SSO, combined with AI-specific downscoping and full audit trails.
  • Curated workspaces: Multi-source collections and custom tools reduce security risks and improve performance for specialized agent workflows.
  • Reduced token use: A unified MCP endpoint and query pushdown shift processing to the platform, allowing agents to focus on reasoning rather than data retrieval.

The fully hosted and managed platform allows organizations to configure data sources in minutes and begin building agents immediately, with a free tier available.

Availability

CData’s Connect AI platform for Microsoft Copilot Studio and Microsoft Agent 365 is available now. The solution can be accessed through the Microsoft library or by getting started for free.

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