• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

Oracle launches MCP Server for Oracle Database to allow users to securely interact with core database platform and navigate complex data schemas using natural language, with the server translating questions into SQL queries

July 19, 2025 //  by Finnovate

Oracle Corp unveiled MCP Server for Oracle Database, a new Model Context Protocol offering that brings AI-powered interaction directly into its core database platform to help developers and analysts query and manage data using natural language. The new MCP server enables LLMs to securely connect to Oracle Database and interact with it contextually while respecting user permissions and roles. MCP Server for Oracle Database allows users to interact with Oracle’s core database platform using natural language, with the server translating questions into SQL queries, helping users retrieve insights from data without needing to write complex code, making tasks such as performance diagnostics, schema summarization and query generation easier. The integration has been designed to simplify the process of working with SQL queries and navigating complex data schemas. MCP Server for Oracle Database AI agents can act as copilots for developers and analysts by generating code and analyzing performance. The protocol also supports read and write operations, allowing users to take action through the AI assistant, such as creating indexes, checking performance plans, or optimizing workloads. The AI agent operates strictly within the access boundaries of the authenticated user by using a private, dedicated schema to isolate the agent’s interactions from production data, allowing it to generate summaries or sample datasets for language models without exposing full records.

Read Article

Category: Essential Guidance

Previous Post: « Embedded payments are seeing rising adoption in the parking sector through AI-recognition tech that lets customers just drive in and scan a QR code to enter their credit card information the first time they park, with automatic vehicle identification and charges applied on subsequent trips

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.