Connect Google Gemini to live SAS xpt data, securely.
CData Connect AI lets you plug any business application into any AI tool—like SAS xpt into Google Gemini—for live, trusted answers and actions with zero data copies.
- One MCP server, hundreds of live sources—Google Gemini reaches SAS xpt and any other system through a single managed connection, no per-source setup
- Schema-aware from the first prompt—Google Gemini reads your full SAS xpt data model on connect, so answers are accurate on day one
- Bidirectional and secure by design—Google Gemini reads and writes live SAS xpt data within your own access rules
SAS xpt:
SAS XPORT is a file format used for transporting and sharing SAS datasets between different operating systems and versions of SAS software. It allows for the efficient transfer of data while preserving the structure and integrity of the dataset. XPORT files can be easily imported and exported within the SAS environment.
Google Gemini:
Gemini is Google’s multimodal AI platform, and the Google Agent Development Kit (ADK) provides a stateful agent framework for building, customizing, and deploying Gemini-powered AI agents. These agents can reason, plan, and orchestrate workflows across your stack. With Connect AI, you can give Gemini/ADK agents live, governed business data from enterprise systems—without staging data or writing custom connectors for every tool.
Popular Google Gemini & SAS xpt integration use cases
- Goal-driven Gemini agents — Enable Gemini agents to plan and execute complex tasks grounded in real-time SAS xpt data.
- Stateful multi-step workflows — Build ADK agents that reason over SAS xpt data, orchestrate actions, and validate results with memory and control.
- Cross-system orchestration — Let Gemini agents coordinate actions across multiple systems while grounding decisions in governed SAS xpt data.
- Auditable agent activity — Expose only approved read/write operations on SAS xpt with full RBAC, masking, and logging for every tool call and response.
Learn more about CData Connect AI
SAS xpt to Google Gemini features
Access data where it lives right now. Ensure data is always live, always retains its metadata and semantics, and always protected by source system permissions.
Expose your data's metadata, relationships, and context so AI has real understanding of your business without recreating it on top of a warehouse.
Point-and-click connection setup that works for both queries and actions so you can set up integrations in minutes.
Pass through and edit role-based access control (RBAC) inherited from the source to users in AI and AI agents.
How It Works: Model Context Protocol (MCP)
Connect AI is first managed Model Context Protocol (MCP) platform for AI integration. Model Context Protocol (MCP) is an open standard for connecting AI assistants, agents, and automations to external tools and data.
With Connect AI's managed MCP platform, you can present your enterprise systems as standardized MCP tools and resources and call them directly from AI.
Instead of building and maintaining dozens of one-off MCP Servers, your AI simply calls one universal MCP URL from Connect AI, and gets governed access to live data from across your enterprise stack.
Getting Started is Easy:
- Configure data sources (Salesforce, NetSuite, Workday, SQL, Jira, etc.) in Connect AI.
- Create a 'Remote MCP' URL.
- Connect Google Gemini to your business data.
Get Started for Free
Access live SAS xpt data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live SAS xpt data with any AI tool that supports MCP. Select your preferred tool below to learn more.
