Autonomous AI Database Agent-to-Agent (A2A) Server
Leverage the Oracle Autonomous AI Database Agent-to-Agent (A2A) Server to seamlessly connect A2A-compatible clients with your in-database AI agents eliminating the need for customer-hosted A2A server infrastructure. Oracle Autonomous AI Database A2A Server is a multi-tenant, built-in feature of Autonomous AI Database Serverless and Dedicated Region, providing A2A endpoints to your 26ai and 19c database instances.
Why choose A2A Server integrated with Autonomous AI Database?
Security by Design
Honors core database security mechanisms, including RBAC, auditing, VPD, and redaction, when accessing database features through A2A endpoints
Fully managed A2A Server
No additional infrastructure is required for the A2A server, and no A2A server installation is needed on a client machine
Automatic Updates / Patching
Benefit from Oracle’s automated patching and updates to ensure you have the latest features and security enhancements without any downtime
Unified Operational Experience
Manage and monitor MCP capabilities directly within the OCI console alongside your other database operations without needing separate management tools or experiences
Consistent Enterprise Compliance
Use Oracle's built-in compliance features to meet corporate and regulatory requirements, supporting auditing, data residency, and industry standards within the MCP Server's design
Optimized Performance
Integrated resource management and co-location ensure AI tasks and queries run with predictable performance, eliminating network latency and data movement common in external solutions
Simplified Agent Exposure
Easily create and manage custom or built-in AI agents via the Select AI Agent framework for a streamlined interface without the need for external backend or A2A infrastructure
Oracle Support and SLAs
Experience peace of mind with Oracle-managed services, featuring Oracle Premier Support and enterprise SLAs
Interoperability
Select AI agent teams are now accessible to other agent systems using A2A protocol
A2A Server Use Cases

A2A Server enables AI agents to securely query trusted enterprise data and return business-ready answers. Sales, finance, operations, and support teams can ask natural-language questions and receive responses grounded in governed database records, not disconnected summaries or stale exports.
Example
A revenue operations agent answers, “Which enterprise accounts are at risk this quarter?” by combining pipeline, usage, support, and billing data from Autonomous AI Database.

The A2A Server allows specialized AI agents to collaborate across business systems while using Autonomous AI Database as a secure system of record. Agents can coordinate tasks such as approvals, exception handling, reporting, and follow-ups without requiring users to manually move data between applications.
Example
A procurement agent detects a budget exception, asks a finance agent to validate spend history, and prepares an approval recommendation using live database context.
A2A Server can support agents that monitor operational data, identify anomalies, and recommend or trigger corrective actions. This helps teams respond faster to service issues, supply chain disruptions, fraud signals, or compliance exceptions
Example
An operations agent detects unusual transaction patterns, consults a risk agent, and alerts the right team with supporting evidence from database logs and business data.

With A2A Server, organizations can deliver role-aware AI assistants that help employees explore data safely. Agents can respect enterprise access controls, retrieve approved data from Autonomous AI Database, and generate summaries, charts, recommendations, or next-best actions
Example
A marketing manager asks, “Which campaigns generated the highest-value customers last month?” and receives an AI-generated analysis based on authorized customer, campaign, and revenue data.
Prebuilt AI Agents
Introducing Oracle Autonomous AI Database A2A Server for Governed Multi-Agent Systems
Mark Hornick, Senior Director, AI and ML Product Management, OracleEnterprises are moving from isolated AI assistants to multi-agent systems, where agents can collaborate, specialize, and hand off work across tools, teams, and business processes. As these agent ecosystems grow, organizations need a secure way for clients and agents to discover, invoke, and manage enterprise agents.
Latest Autonomous AI Database blogs
- April 2026Bringing Business Data Insights to Every User with Gemini Enterprise and Oracle AI Database
- April 2026Unlocking Data Insights with Oracle AI Database Agent in Gemini Enterprise: Part 2
- April 2026Unlocking Data Insights with Oracle AI Database Agent in Gemini Enterprise – Part 1
- March 2026Announcing Oracle Select AI Pre-Built AI Agents
- December 2025Announcing the Oracle Autonomous AI Database MCP Server
Resources

A2A Server
A2A Server allows AI applications to seamlessly interact with the Autonomous AI Database using the A2A protocol, removing the need for custom integration

Learn more
Explore the Machine Learning blog for announcements, best practices, and tips on using Oracle's in-database AI capabilities

Try A2A Server
Discover how to set up your Autonomous AI Database as an A2A server and integrate it with Select AI Agent-defined agents