What is the CData MCP Server for Oracle HCM Cloud?

It's a pre-built MCP Server that allows LLMs like Claude to query live data in Oracle HCM Cloud, supported by the CData JDBC Driver for Oracle HCM Cloud.

What are the benefits of using this MCP Server?

Seamless integration, natural language queries, real-time data access (read-only in the beta version), simplified setup, and an extensible architecture.

Is this a read-only server?

Yes, the current version available is a read-only server. Read/write beta servers are available at CData website.

What do I need to use this server?

You need a CData JDBC Driver for Oracle HCM Cloud, Java, Maven, and a client like Claude Desktop.

Where can I download the CData JDBC Driver?

You can download it from the CData website.

How do I configure the connection to Oracle HCM Cloud?

You use the Connection String utility provided with the CData JDBC Driver to configure the connection and then copy the connection string into a `.prp` file.

What is a `.prp` file?

It's a properties file that contains the connection details for your JDBC connection, including the driver path, driver class, JDBC URL, and other settings.

How do I add the MCP Server to Claude Desktop?

You need to modify the `claude_desktop_config.json` file to include the new MCP Server, specifying the path to the Java executable, the MCP Server JAR file, and the `.prp` file.

Claude isn't showing my MCP Server, what can I do?

Ensure you've fully quit Claude Desktop and restarted it. Also, double-check the configuration in `claude_desktop_config.json`.

I'm having trouble connecting to Oracle HCM Cloud, what should I do?

Double-check your connection string and ensure you've provided the correct credentials. You can also contact CData support for assistance.

Can I use this server with other AI clients besides Claude?

Yes, any AI client that supports the MCP protocol and can communicate over `stdio` can be used.

What kind of queries can I run?

You can use natural language queries to ask questions about your data or use SQL SELECT queries.

What tools are available?

The server provides tools for getting a list of tables (`{servername}_get_tables`), getting a list of columns for a table (`{servername}_get_columns`), and running SQL SELECT queries (`{servername}_run_query`). Replace `{servername}` with the name of your server in the config file.

Oracle HCM Cloud MCP Server by CData – Overview

Q: What is an MCP Server?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. An MCP Server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

UBOS Asset Marketplace: Unleash the Power of AI with Oracle HCM Cloud Data through MCP Servers

In today’s data-driven world, the ability to seamlessly integrate and leverage information from various sources is paramount for businesses seeking a competitive edge. The UBOS Asset Marketplace empowers you to do just that, offering a cutting-edge solution for connecting Large Language Models (LLMs) like Claude to your critical Oracle HCM Cloud data. This connection is facilitated through the CData Model Context Protocol (MCP) Server, a powerful tool that unlocks a new era of AI-powered insights and automation within your organization.

What is an MCP Server and Why Does it Matter?

The Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide contextual information to LLMs. Think of it as a universal translator, enabling AI models to understand and interact with data from diverse sources in a consistent manner. An MCP Server acts as the crucial bridge in this process, allowing AI models to access and manipulate external data sources and tools. By abstracting away the complexities of underlying data structures and APIs, MCP Servers simplify the integration process and unlock the true potential of AI.

The CData MCP Server for Oracle HCM Cloud: Your Gateway to AI-Powered HR

The UBOS Asset Marketplace features the CData MCP Server for Oracle HCM Cloud, a pre-built solution designed to connect Claude (and other compatible LLMs) to your Oracle Human Capital Management (HCM) Cloud data. This server exposes Oracle HCM Cloud data as relational SQL models, allowing AI models to query and analyze your HR data using natural language. No more complex SQL queries or data wrangling – simply ask questions in plain English and get the answers you need.

Key Features and Benefits:

Seamless Integration: Connect Claude to Oracle HCM Cloud data with minimal configuration.
Natural Language Queries: Ask questions in plain English and receive accurate answers from your Oracle HCM Cloud data.
Real-Time Data Access: Access live data directly from Oracle HCM Cloud, ensuring your AI models are always working with the most up-to-date information.
Read-Only Access (Beta): The current offering is a read-only server, providing a secure and controlled environment for accessing your data. Free read/write beta servers are available from CData (https://www.cdata.com/solutions/mcp).
Simplified Setup: The provided setup guide walks you through the process of configuring the server and connecting it to Claude.
Extensible Architecture: The MCP Server is built on open standards, allowing you to extend its functionality and integrate it with other AI models and data sources.
Enhanced Decision-Making: Leverage AI-powered insights from your HR data to make better decisions about hiring, training, and employee development.
Improved Efficiency: Automate HR tasks and processes, freeing up your HR team to focus on more strategic initiatives.
Reduced Costs: Optimize HR operations and reduce costs by leveraging AI-powered insights.

Use Cases: Transforming HR with AI and Oracle HCM Cloud Data

The CData MCP Server for Oracle HCM Cloud opens up a wide range of exciting use cases for AI in HR. Here are just a few examples:

HR Data Analysis & Reporting: Use Claude to generate reports on key HR metrics, such as employee turnover, time-to-hire, and training effectiveness. Ask questions like, “What is the average time-to-hire for software engineers in the last quarter?” or “Which departments have the highest employee turnover rate?”
Talent Acquisition: Improve your talent acquisition process by using Claude to analyze resumes and identify qualified candidates. Ask questions like, “Find candidates with experience in Python and machine learning” or “Identify candidates who are a good fit for our company culture.”
Employee Onboarding: Automate the employee onboarding process by using Claude to provide new hires with personalized information and guidance. Ask questions like, “What are the benefits available to me?” or “What is the company’s policy on remote work?”
Employee Training & Development: Personalize employee training and development programs by using Claude to assess employee skills and identify areas for improvement. Ask questions like, “What training courses are available for project management?” or “What are the career paths available to me within the company?”
HR Policy Compliance: Ensure compliance with HR policies and regulations by using Claude to answer employee questions and provide guidance on HR-related matters. Ask questions like, “What is the company’s policy on sexual harassment?” or “What are my rights as an employee?”
Predictive Analytics: Identify potential risks and opportunities by using AI to analyze historical HR data. For example, predict which employees are likely to leave the company or identify which training programs are most effective.
Personalized Employee Experiences: Create more personalized and engaging employee experiences by using AI to tailor HR communications and services to individual employee needs. For example, provide personalized recommendations for training courses or benefits packages.

Getting Started with the CData MCP Server for Oracle HCM Cloud

Setting up the CData MCP Server for Oracle HCM Cloud is a straightforward process. The provided setup guide walks you through the following steps:

Clone the Repository: Clone the GitHub repository containing the MCP Server code.
Build the Server: Build the server using Maven.
Download and Install the CData JDBC Driver: Download and install the CData JDBC Driver for Oracle HCM Cloud.
License the CData JDBC Driver: License the driver using your CData license key or a trial license.
Configure Your Connection: Configure your connection to Oracle HCM Cloud using the CData JDBC Driver’s connection string utility. This involves providing your Oracle HCM Cloud credentials and other connection parameters.
Create a .prp File: Create a .prp file containing the connection properties for your JDBC connection. This file specifies the prefix, server name, driver path, driver class, JDBC URL, and tables to be accessed.
Configure Claude Desktop: Modify the Claude Desktop configuration file (claude_desktop_config.json) to add the new MCP Server. This involves specifying the path to the Java executable, the path to the MCP Server JAR file, and the path to the .prp file.
Run the Server: Run the MCP Server using the command line.
Test the Connection: Verify that Claude can connect to the MCP Server and access data from Oracle HCM Cloud.

The UBOS Advantage: Beyond Data Connectivity

While the CData MCP Server provides a powerful solution for connecting Claude to Oracle HCM Cloud data, the UBOS platform offers a comprehensive suite of tools and services for building, deploying, and managing AI Agents. UBOS empowers you to go beyond simple data connectivity and create intelligent applications that automate complex tasks, improve decision-making, and drive business value.

UBOS Key Features:

AI Agent Orchestration: Design, build, and deploy complex AI Agents that integrate with multiple data sources and tools.
Custom AI Agent Development: Build custom AI Agents tailored to your specific business needs using your own LLM models.
Multi-Agent Systems: Create collaborative AI systems that leverage the strengths of multiple AI Agents to solve complex problems.
Enterprise Data Integration: Connect your AI Agents to a wide range of enterprise data sources, including databases, cloud applications, and APIs.
Secure and Scalable Infrastructure: Deploy your AI Agents on a secure and scalable infrastructure that can handle the demands of your business.
Monitoring and Management: Monitor and manage your AI Agents to ensure they are performing optimally and delivering the desired results.

Unlock the Future of HR with UBOS and MCP Servers

The combination of UBOS and MCP Servers like the CData MCP Server for Oracle HCM Cloud represents a significant step forward in the application of AI to HR. By seamlessly connecting LLMs to your critical HR data, you can unlock a new era of AI-powered insights, automation, and efficiency.

Join the UBOS platform today and start building the future of HR. Explore the possibilities and discover how UBOS can help you transform your business with the power of AI.