Connect Google Gemini to live xBase data, securely.
CData Connect AI lets you plug any business application into any AI tool—like xBase into Google Gemini—for live, trusted answers and actions with zero data copies.
Schema-aware MCP server
Google Gemini reads your full xBase data model on connect
Cross-source MCP toolset
Join live xBase with hundreds of other systems in one prompt
Bidirectional with identity passthrough
Google Gemini reads and writes under your access rules
xBase:
xBase is a programming language and database management system that is commonly used for creating desktop applications and managing data. It is known for its simplicity and ease of use, making it a popular choice for small businesses and individual developers. xBase supports a variety of data types and features powerful querying capabilities.
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 & xBase integration use cases
- Goal-driven Gemini agents — Enable Gemini agents to plan and execute complex tasks grounded in real-time xBase data.
- Stateful multi-step workflows — Build ADK agents that reason over xBase 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 xBase data.
- Auditable agent activity — Expose only approved read/write operations on xBase with full RBAC, masking, and logging for every tool call and response.
Learn more about CData Connect AI
xBase 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 xBase data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live xBase data with any AI tool that supports MCP. Select your preferred tool below to learn more.
