The Article Tells The Story of:
- Oracle’s AI Agents Now Query Databases Directly: No more custom integrations—Oracle MCP server gives AI tools full data access.
- SQLcl Becomes a Command Hub for Enterprise AI: Oracle integrates MCP into SQLcl for easy AI deployment via Visual Studio Code.
- Industries Get Faster Insights Without Manual SQL: From banking to retail, AI copilots now deliver real-time answers without dashboards.
- Security Isn’t an Afterthought: Oracle limits AI access to protect enterprise data and recommends best practices for safe usage.
Table of Contents
Oracle MCP Server Makes AI Data Queries Simple and Secure
At Squaredtech.co, we’re closely tracking how AI is transforming enterprise operations. Oracle’s latest launch—the Model Context Protocol (MCP) server—is a major leap forward in that direction. The MCP server allows AI agents to interact directly with Oracle Databases. These agents can now understand metadata, build SQL queries, and extract insights—without requiring manual inputs or middleware.
Oracle has embedded the MCP server into its existing tools. It’s now part of SQLcl, the command-line interface for Oracle Database, which comes bundled with tools like the Oracle SQL Developer Extension for Visual Studio Code (VS Code). This means developers can quickly spin up intelligent agents that interact with enterprise data systems out of the box.
As Oracle explained, “Oracle SQLcl is the command-line interface (CLI) for Oracle Database and is shipped with popular tools such as the Oracle SQL Developer extension for VS Code. It can now be run as an MCP Server and provides MCP tools that allow an AI assistant to securely connect to Oracle Database.”
At Squaredtech, we believe this is a critical step in eliminating the old bottlenecks of custom data integrations. Now, developers and business users alike can focus on questions and answers—not on how to build pipelines.
AI Agents Now Handle SQL, Metadata, and Business Logic
With MCP server support, external agents can connect, query, and reason with structured Oracle data in real time. This includes:
- Accessing database schemas and metadata
- Constructing and executing SQL queries
- Interacting with the Oracle environment in a standardized way
Charlie Dai, VP and principal analyst at Forrester, underscored this point:
“The SQLcl tool inside the MCP server will allow external agents to query metadata, access schema details, generate and execute SQL, and interact with Oracle databases in a structured and standardized way, without needing to build custom integration layers.”
For industries already dependent on Oracle—like finance, healthcare, and retail—this unlocks faster automation, easier compliance, and streamlined operations. Squaredtech.co views this as a sign that context-aware AI agents are now ready for production environments.
Real-World Examples: AI Copilots Across Industries
This isn’t just for developers. Business users in banking, retail, and pharma are already seeing value.
In Finance and Banking:
- AI copilots can generate compliance reports
- Retrieve audit trails
- Analyze data for fraud detection
In Retail:
- AI tools can pull inventory data
- Analyze sales performance
- Forecast demand patterns without touching SQL
According to Raya Mukherjee, senior analyst at Everest Group:
“In the retail sector, AI copilots can extract inventory metrics, analyze sales trends, or forecast demand from ERP-linked Oracle systems without manual SQL, streamlining decision-making.”
This shift could dramatically reduce the wait time for reports and dashboards, giving users immediate answers to operational questions. Squaredtech expects this will raise productivity across all Oracle-heavy industries.
Oracle Adds Guardrails for AI Query Security
With all this AI access, security becomes a serious concern. Oracle has responded by building safeguards into the MCP server architecture.
The company warns that enterprises should not allow unrestricted access to Large Language Models (LLMs). Instead, Oracle suggests:
- Routing AI access through read-only replicas or curated datasets
- Enforcing least-privilege permissions
- Auditing AI-generated queries for anomalous behavior
“These steps will limit what is accessible to the LLM,” Oracle noted in its documentation.
At Squaredtech.co, we’ve seen how careless AI integrations can lead to massive data leaks. Oracle’s approach is a necessary defense in today’s AI-driven enterprise. While the MCP server boosts productivity, it also encourages responsible data access.
Seamless Deployment via VS Code Integration
Oracle is focusing on ease of adoption by integrating MCP directly into Visual Studio Code through its SQL Developer Extension. Once developers activate the extension, the MCP server auto-registers with VS Code, making it instantly available for AI tools such as Microsoft Copilot.
Oracle confirmed:
Stay Updated: Artificial Intelligence
“Our SQL Developer Extension for VS Code ships with SQLcl, and upon activation, it automatically registers its MCP server with VS Code for use with Microsoft Copilot.”
This plug-and-play setup lowers the technical barrier for teams building AI copilots. At Squaredtech, we believe this convenience will encourage faster rollouts of data-driven agents across departments.
Final Thoughts from Squaredtech.co
The MCP server isn’t just a new Oracle feature—it’s a sign of where enterprise AI is headed. We’re moving toward self-service intelligence, where agents can understand a company’s structured data, generate insights, and deliver answers in plain language.
With strong integration, real security controls, and support for agentic workflows, Oracle’s MCP server gives businesses a clear path to scale their AI capabilities without losing control over their data.
Squaredtech will continue monitoring how tools like this reshape enterprise software. For companies that rely on Oracle systems, the MCP server could be the missing link between raw data and real-time, AI-driven decisions.
