Connect Google Gemini to live PostgreSQL data, securely.
CData Connect AI lets you plug any business application into any AI tool — like PostgreSQL into Google Gemini — for live, trusted answers and actions with zero data copies.
Give PostgreSQL rich semantic context and real-time data from Google Gemini so it can answer precisely and take safe, effective actions across your business.
PostgreSQL:
PostgreSQL is a powerful open-source relational database management system known for its reliability, scalability, and extensibility. It supports a wide range of data types, indexing techniques, and advanced features such as full-text search and JSON support. With a strong community and active development, PostgreSQL is a popular choice for enterprise applications.
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 & PostgreSQL integration use cases
- Goal-driven Gemini agents — Enable Gemini agents to plan and execute complex tasks grounded in real-time PostgreSQL data.
- Stateful multi-step workflows — Build ADK agents that reason over PostgreSQL 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 PostgreSQL data.
- Auditable agent activity — Expose only approved read/write operations on PostgreSQL with full RBAC, masking, and logging for every tool call and response.
Learn more about CData Connect AI
PostgreSQL to Google Gemini Features
Real-time data accessed in-place
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.
Semantic intelligence & preserved context
Expose your data's metadata, relationships, and context so AI has real understanding of your business without recreating it on top of a warehouse.
One connection to both explore and take action
Point-and-click connection setup that works for both queries and actions so you can set up integrations in minutes.
Enterprise security and governance
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 PostgreSQL data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live PostgreSQL data with any AI tool that supports MCP. Select your preferred tool below to learn more.
