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Oracle Embraces MCP, Giving AI Agents Access to Data Stored in Flagship Database
database

Oracle Embraces MCP, Giving AI Agents Access to Data Stored in Flagship Database

Oracle integrates Model Context Protocol, enabling AI agents to securely access and interact with data in its flagship database.

July 29, 2025
5 min read
Tom Smith

Oracle integrates Model Context Protocol, enabling AI agents to securely access and interact with data in its flagship database.

Oracle Embraces MCP, Giving AI Agents Access to Data Stored in Flagship Database

Given its massive footprint in the enterprise computing market, there’s arguably no more important data source that AI agents and copilots must connect to than the Oracle database. That’s why Oracle’s embrace of the Model Context Protocol, or MCP — which adds context to a Large Language Model by enabling that LLM to interact directly with a data source in a standard format — is so important. Oracle is providing that support in the form of MCP Server for Oracle Database, which integrates MCP support into its core developer tools, making its flagship database accessible on any AI platform supporting MCP. MCP Server for Oracle Database, the first MCP deliverable from Oracle, makes integration possible through the Oracle Database command line interface. OracleSQLcl ships with tools including the Oracle SQL Server Developer extension for VS Code. OracleSQLcl provides MCP functionality that allows an AI assistant to securely connect to Oracle Database, managing credentials and running SQL database queries and scripts. MCP Server Architecture Software requirements for using the MCP server include:
  • An Oracle Database
  • Oracle SQLcl with one or more defined database connections
  • User’s preferred development environment and LLM
    • When setting up MCP Server for Oracle Database, the company emphasized two security protections that database admins should follow:
  • Enable the least privileges that will enable users to accomplish their required tasks, thereby limiting the data that’s accessible to the LLM.
  • Use a sanitized, read-only replica or a data subset (instead of providing access to production databases for the LLM), while also conducting regular audits of LLM queries to discover anomalies or attempts to access restricted data.

    • New Functionality

    By tapping into an Oracle Database through MCP, users can ask for help performing database functions in their native language, which LLMs can use to generate SQL to complete the users’ requests. Developers will be able to use agentic workflows to run AI-generated SQL statements on an Oracle Database and then interact with the results, as opposed to having AI provide SQL for them to manage. Users can also utilize their preferred AI platform to explore their Oracle Database and the data it stores, and even have the AI platform explain the data to them.

    Potential Use Case

    Oracle outlined a way that a user or developer might deploy its new MCP Server. A user who has personal or corporate access to MCP server might ask their AI assistant to provide details on what’s stored in a dataset within an Oracle database as well as the type of data. The LLM has been trained to explore the database’s data dictionary by asking for permission and querying user tables. The LLM also wants to run SQL on behalf of the requesting user to satisfy the request for details on the types of data stored there. The user is asked to approve actions and queries; OracleSQLcl provides transparency into the activities of the LLM inside the database. Example AI Query Result

    Closing Thoughts

    Oracle’s endorsement, and delivery of a server for access to its flagship database, is another critical development adding to MCP’s momentum as a standard for connecting AI tools and data sources in a standard format. As one of the dominant database platforms, the importance of Oracle’s product, as well as its endorsement of this standard, can’t be overstated. The new Oracle server continues the trend of industry titans rallying behind MCP for the benefit of customers looking to unlock sophisticated, multivendor AI workflows.

    Frequently Asked Questions (FAQ)

    Model Context Protocol (MCP)

    Q: What is the Model Context Protocol (MCP)? A: The Model Context Protocol (MCP) is a standard that enables Large Language Models (LLMs) to interact directly with data sources, providing context to the LLM in a standardized format. Q: What is the benefit of MCP for AI agents? A: MCP allows AI agents and copilots to securely connect to and query data from various sources, like databases, in a structured and understandable way, enabling them to perform more complex tasks and provide more accurate information.

    MCP Server for Oracle Database

    Q: What is MCP Server for Oracle Database? A: MCP Server for Oracle Database is Oracle's implementation that integrates MCP support into its core developer tools, making Oracle Database accessible to any AI platform that supports MCP. Q: How does MCP Server for Oracle Database work? A: It enables secure connections and SQL queries to Oracle Databases through tools like OracleSQLcl and extensions like the Oracle SQL Server Developer extension for VS Code, allowing AI assistants to interact with the data. Q: What are the software requirements for using MCP Server for Oracle Database? A: You need an Oracle Database, Oracle SQLcl with defined database connections, and your preferred development environment and LLM.

    Security Best Practices

    Q: What are the recommended security measures for using MCP Server with Oracle Database? A: Database administrators should enable the principle of least privilege to limit LLM access to necessary data. It's also recommended to use read-only replicas or data subsets instead of production databases and to regularly audit LLM queries for anomalies.

    Functionality and Use Cases

    Q: How can users benefit from MCP Server for Oracle Database? A: Users can ask for database functions in natural language, have LLMs generate and execute SQL queries, and use their preferred AI platforms to explore and understand the data stored in Oracle Databases. Q: Can AI agents directly execute SQL queries on Oracle Databases? A: Yes, developers can use agentic workflows to run AI-generated SQL statements on an Oracle Database and interact with the results.

    Crypto Market AI's Take

    Oracle's integration of the Model Context Protocol (MCP) into its flagship database is a significant step towards seamless AI-driven data access. For the cryptocurrency market, this signifies a future where AI agents can more effectively tap into vast datasets, potentially for market analysis, risk assessment, or even for managing decentralized finance (DeFi) protocols. As AI capabilities grow, the ability for these agents to securely and efficiently interact with enterprise-grade databases like Oracle's will be crucial for developing sophisticated AI-powered financial tools. This move aligns with the broader trend of integrating AI into traditional financial infrastructure, a development we actively track and analyze at Crypto Market AI.

    More to Read:

  • AI Agents: Capabilities, Risks, and Growing Role
  • How to Use Google Gemini for Smarter Crypto Trading
  • AI-Driven Crypto Trading Tools Reshape Market Strategies in 2025
Source: Originally published at Cloud Wars on July 29, 2025.