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ORDS 26.2 adds Native streaming HTTP MCP Server for Oracle AI Database. Oracle REST Data Services 26.2 turns every ORDS deployment into a secure AI agent gateway. Oracle REST Data Services (ORDS) version 26.2, released on July 2, 2026, introduces a feature that fundamentally changes how AI agents interact with Oracle databases. ORDS can now natively function as a remote Model Context Protocol (MCP) server, exposing a streaming HTTPS /mcp endpoint that allows AI agents and MCP-compatible clients to discover database connections, inspect schema metadata, and execute SQL - all secured with enterprise-grade OAuth 2.0/JWT authentication. For Oracle DBAs and developers who have been watching the rapid rise of agentic AI frameworks, this release answers a critical question: How do I securely expose my Oracle database to AI agents without building custom middleware? With ORDS 26.2, the answer is straightforward - you already have the infrastructure. What is the Model Context Protocol, and why does it matter for Oracle? The Model Context Protocol (MCP) is an open standard that defines how AI agents and large language models discover, connect to, and interact with external tools and data sources. Think of it as a universal adapter that lets AI systems understand what a tool can do, what data it can access, and how to call it - without requiring bespoke integrations for every data source. For Oracle databases, MCP support means that any AI agent built on frameworks like LangChain, AutoGen, CrewAI, or similar agentic platforms can programmatically connect to an Oracle database, explore its schema, and run queries - all through a standardized protocol. The implications for enterprise AI workflows are significant: natural language analytics, automated report generation, intelligent data pipelines, and autonomous database administration tasks all become more accessible. What ORDS 26.2 brings to the table. The headline capability in ORDS 26.2 is the new /mcp streaming HTTP endpoint. Here is what it delivers: * Native Remote MCP Server: Any existing ORDS deployment can now serve as a remote MCP server for Oracle AI Database. There is no separate service to install or manage. If you are running ORDS 26.2, you have MCP server capabilities built in. * Streaming HTTPS Transport: The /mcp endpoint uses HTTP streaming, which means AI agents can maintain persistent connections and receive real-time responses - essential for interactive, multi-step agentic workflows that involve iterative SQL execution and schema exploration. * OAuth 2.0/JWT Authentication with Automatic Client Registration: Security is not an afterthought. ORDS MCP integrates with identity providers through OAuth 2.0 and JWT tokens, with support for automatic client registration. This means AI agent access can be scoped to specific database schemas, ensuring that agents only see and interact with the data they are authorized to access. * Connection Pooling and Enterprise Scalability: Unlike lightweight or development-oriented MCP options, ORDS brings production-grade connection pooling, high availability, and the operational maturity that enterprise teams expect from their middleware layer. Oracle's three-tier MCP strategy comes into focus. With ORDS 26.2, Oracle now offers three distinct MCP deployment models, each suited to different use cases and environments: * SQLcl MCP Server (Local stdio): Designed for local development and proof-of-concept work. SQLcl runs as a local MCP server using standard input/output transport, making it ideal for developers experimenting with AI agent integrations on their workstations. * OCI Database Tools MCP Server (Managed Cloud): A fully managed MCP service within Oracle Cloud Infrastructure, suited for cloud-native deployments where OCI handles the infrastructure, networking, and lifecycle management. * ORDS MCP Server (Enterprise Remote HTTP Streaming): The newest addition, purpose-built for enterprise deployments that need a secure, remotely accessible MCP endpoint with identity provider integration, connection pooling, and schema-level access control. This three-tier approach gives Oracle teams flexibility. A developer can prototype an AI agent workflow locally with SQLcl, validate it in OCI with Database Tools MCP, and deploy it to production behind an ORDS MCP endpoint - all using the same MCP protocol and tooling. Why this is a big deal for enterprise AI agent deployments. The challenge with most AI-to-database integrations today is the gap between what works in a demo and what works in production. Building a quick prototype where an LLM queries a database is relatively simple. Building a secure, scalable, auditable, and maintainable version of that same integration is where most teams struggle. ORDS 26.2 closes that gap for Oracle environments. Because ORDS is already deeply embedded in Oracle database infrastructure - serving as the backbone for REST APIs, APEX, and SQL Developer Web - adding MCP server capabilities to it means enterprises do not need to introduce a new component into their architecture. The authentication, networking, monitoring, and operational patterns are already established. The OAuth 2.0/JWT integration is particularly noteworthy. In enterprise environments, the ability to issue scoped tokens to AI agents - limiting them to specific schemas or even specific operations - is a non-negotiable requirement. ORDS MCP delivers this out of the box, with automatic client registration reducing the operational overhead of onboarding new AI agent clients. Practical takeaway for Oracle professionals. If you are an Oracle DBA or developer evaluating how to integrate AI agents with your databases, ORDS 26.2 should move to the top of your evaluation list. Here is the recommended path forward: * Upgrade to ORDS 26.2 in your development environment and enable the /mcp endpoint to explore the capabilities firsthand. * Review your identity provider integration to ensure OAuth 2.0/JWT token issuance is configured for AI agent client registration. * Define schema-level access policies that determine which database objects AI agents can discover and query - treat this with the same rigor as any other privileged access management decision. * Test with your target AI framework (LangChain, AutoGen, or your custom agentic platform) to validate MCP compatibility and streaming behavior under realistic workloads. Oracle's MCP strategy is maturing rapidly, and ORDS 26.2 represents the most production-ready option for enterprises that need secure, scalable AI agent access to their Oracle databases. The tooling is here - the question now is how quickly your organization moves to adopt it.

Leah Partners with Oracle and PwC to take its Agentic Operating System global. Working with PwC and Oracle, Leah will bring autonomous enterprise workflows to more regions and regulated industries, while expecting to improve platform performance by up to 30 percent and reduce cloud operating costs by up to 40 percent Austin, Texas and New Delhi, India - Aug 13, 2026 Leah, the agentic operating system for enterprise commercial work, has selected Oracle Cloud Infrastructure (OCI) to support the global expansion of Leah Agentic OS, its enterprise platform that autonomously runs legal, contracting, procurement, and finance workflows end-to-end. The platform also includes Maestro, Leah's generally available super orchestrator, which co-ordinates agents, workflows and automation across enterprise systems. With OCI, Leah expects to improve platform performance by up to 30 percent and reduce cloud operating costs by up to 40 percent. Founded in 2015, Leah helps more than 400 enterprise customers modernize their legal, procurement, finance, and commercial operations. As enterprises increasingly adopt AI to automate complex business processes, Leah needed a scalable, high-performance cloud infrastructure to support its mission-critical workloads and global growth. Working with PwC, Leah selected OCI to help improve its platform performance and reduce operating costs as it scales globally. OCI's distributed and sovereign cloud capabilities also support Leah's flexible deployment model, enabling Leah's customers to run the solution in their own environments and preferred regions, while maintaining control of their data and ensuring it is never used to train third-party AI models. "Organizations are looking beyond AI that simply assists people to intelligent systems that can autonomously execute complex business processes while maintaining the governance, security, and trust enterprises require," said Sarvarth Misra, co-founder and chief executive officer, Leah. "That shift also changes what customers demand from infrastructure: sovereignty, performance, and the ability to run wherever their data must live. With Oracle's cloud and PwC's forward deployment expertise, we can bring Leah Agentic OS to every region and every regulated industry that needs it." Leah's agents run legal, contracting, procurement, and finance workflows end to end, securely accessing authorized enterprise data. The agents operate within customer-defined security controls, access policies, monitoring requirements, and human-oversight processes designed for enterprise workloads. "There is increasing demand for cloud infrastructure that can support the performance and security requirements of enterprise workloads as organizations move from AI experimentation to production-scale deployment," said Shailender Kumar, senior vice president and regional managing director, Oracle India and NetSuite JAPAC. "Oracle Cloud Infrastructure provides Leah with the infrastructure to build and scale its AI applications. Together with PwC, we're helping Leah's customers leverage AI to advance their business initiatives." A member of the Oracle PartnerNetwork, PwC is leading the implementation and is expanding its collaboration with Leah to provide PwC's industry, functional, and technology expertise. "We are seeing more and more organizations moving beyond task-level automation toward broader AI-enabled business transformation," said Manpreet Singh Ahuja, chief clients and industries officer, PwC India. "Through our expanded collaboration with Leah and Oracle, we are helping Leah to deliver enterprise-grade AI solutions that will accelerate innovation, enhance operational efficiency, and deliver sustainable business value. In addition, the collaboration helps Leah's customers meet their requirements for AI oversight and controls." "This collaboration unites three strengths: Leah's deep domain intelligence, Oracle's enterprise-grade cloud infrastructure, and PwC's global AI-enabled business transformation experience," said Kevin Sullivan, global and U.S. Oracle practice leader, PwC U.S. "Business leaders worldwide are seeking an ecosystem of technology vendors and trusted expertise that can deliver measurable outcomes at scale. Through the PwC and Oracle alliance, we're giving organizations the conviction to embed AI-led transformation as the foundation of how they operate holistically across legal, finance, contracting, procurement, and commercial workflows." Contact info. Vandana Shenoy About Leah. Leah is an AI-native enterprise Agentic Operating System designed to autonomously run complex workflows across legal, procurement, finance, and shared services. Founded in London in 2015 and backed by SoftBank and Insight Partners, Leah serves 400+ global enterprises and supports mission-critical processes in regulated industries. The platform combines deep domain intelligence with enterprise-grade orchestration, enabling AI agents to execute governed workflows across enterprise systems. Leah has offices across Mumbai, New York, London, Dubai, Sydney, Glasgow, and Singapore. For more information, visit www.leahai.com. About PwC. At PwC, Oracle Corporation help clients build trust and reinvent so they can turn complexity into competitive advantage. Oracle Corporation is a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, Oracle Corporation help clients build, accelerate, and sustain momentum. Find out more at www.pwc.com. About Oracle. Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit Oracle Corporation at www.oracle.com. Trademarks. Oracle, Java, MySQL, and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company - ushering in the new era of cloud computing.

Oracle launches AI-driven patient portal. First announced last fall, the portal leverages foundation models from OpenAI to help patients navigate their medical records. Published Aug. 12, 2026 - Updated 2 hours ago Dive brief: * Oracle Health's artificial intelligence-backed patient portal is now generally available in the U.S., the company announced Wednesday. The portal may be included for existing Oracle customers based on their current contract terms, or it can be purchased separately as a standalone offering, an Oracle spokesperson said. * The health information technology company first unveiled plans for the new patient portal at the Oracle Health and Life Sciences Summit last year. * Built using foundation models from OpenAI, the creator of ChatGPT, the portal is fully integrated with Oracle's electronic health record system. Oracle says the new patient portal should help translate medical jargon into plain language. Dive insight: Users can use the patient portal to review their medical records, engage with providers, schedule appointments, and ask questions to receive AI-generated explanations of diagnoses, lab results and treatment paths, according to Oracle. The portal has guardrails that prevent the AI from dispensing medical advice or providing diagnoses or treatment recommendations, and it highlights all AI-generated text to differentiate it from provider notes, Oracle says. It's not Oracle's first foray into AI. In August 2025, the company launched an AI-backed EHR. With it, clinicians can use voice commands to access patient information like lab results or medication lists and generate summaries. It's currently only available to ambulatory providers in the U.S., though Oracle said it plans to launch the new EHR for the acute care market this year. The patient portal launch represents Oracle's continued effort to differentiate itself in the competitive EHR market. As of 2024, its competitor Epic controlled nearly double Oracle's market share in the acute care EHR space. Editor's Note: This story has been updated to include additional details from Oracle about the cost of the new patient portal.