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Oracle’s supply-chain sample connects chat interfaces to inventory recommendations, but limits execution to a procedure-backed, audited database path after a planner approves it.
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Oracle’s reference application demonstrates a tightly bounded pattern for database-connected agents: the model can discover and prepare an inventory transfer, but a planner must approve it before execution. The Java MCP Toolkit exposes five purpose-built operations instead of general database tools, while Oracle AI Database retains authorization, transaction, feasibility, locking, and audit responsibilities.
The Toolkit exposes five operations: find recommendations, retrieve details, reserve an ID, approve transfers, and count completed transfers.
Oracle disables generic read, write, table, and administration tools, limiting the agent to the supply-chain-exchange allowlist.
A2UI uses host-validated declarative components; MCP Apps deliver developer-built HTML and JavaScript in sandboxed ui:// resources.
Oracle has published a supply-chain reference application for showing database-calculated inventory-transfer recommendations in AI chat interfaces. The apparent autonomy stops at the approval line: a planner must approve a transfer before Oracle AI Database executes the procedure, validates and locks inventory, and creates an audit record.
The sample offers two ways to present the task. A2UI lets an agent describe controls in declarative JSON, while the host validates that request and renders only components in its approved native catalog. That lets a task-specific interface appear without running agent-generated frontend code.
MCP Apps take a different route: they package developer-built HTML and JavaScript as sandboxed ui:// resources for compatible conversational hosts. The two approaches are separate UI models over the same governed service; using one does not automatically enable the other.
Oracle configures the Database MCP Java Toolkit around those operations rather than giving the agent general database controls. Built-in read-query, write-query, table, and administration tools are not enabled, and the application requires the supply-chain-exchange allowlist. Oracle AI Database remains responsible for feasibility calculations, authorization, transactions, and auditing.
The MCP App route is shown in ChatGPT, Claude, and Gemini Enterprise. Gemini Enterprise also receives A2UI v0.8 DataParts over A2A, an agent-to-agent communication protocol. The standalone browser instead receives A2UI v0.9.1 through AG-UI events.
Those versioned paths are alternatives, not a promise of universal compatibility. Each host must validate the A2UI version and component catalog it advertises, and Oracle says product support should be verified rather than assumed. The sample is therefore a concrete architecture for bounded agent actions, not an off-the-shelf autonomous inventory system.
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