How do I get Cornerstone OAuth credentials?

You need to register an application in the Cornerstone Edge API portal or request Client ID and Secret from your system administrator.

What is the subdomain?

It is the first part of your portal URL. For example, if you log in at 'company.csod.com', your subdomain is 'company'.

Can the agent assign courses to employees?

This integration currently focuses on auditing and listing learning objects. Automated assignment would require additional write permissions and workflow configuration.

Cornerstone OnDemand MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Cornerstone OnDemand
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cornerstone OnDemand through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Cornerstone OnDemand Assistant",
            instructions=(
                "You help users interact with Cornerstone OnDemand. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cornerstone OnDemand"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cornerstone OnDemand MCP Server

Integrate Cornerstone OnDemand, the leading human capital management and learning platform, directly into your AI workflow. Monitor employee development, audit training transcripts, and manage your talent catalog using natural language.

The OpenAI Agents SDK auto-discovers all 10 tools from Cornerstone OnDemand through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cornerstone OnDemand, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Learning & Catalog — List available courses and training objects in your corporate catalog.
Employee Transcripts — Retrieve and audit the learning history and certifications for any employee.
Performance Tracking — List active performance reviews and competency goals.
Recruiting Insights — Monitor internal and external job postings across departments.

The Cornerstone OnDemand MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Cornerstone OnDemand to OpenAI Agents SDK via MCP

Follow these steps to integrate the Cornerstone OnDemand MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Cornerstone OnDemand

Why Use OpenAI Agents SDK with the Cornerstone OnDemand MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cornerstone OnDemand through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cornerstone OnDemand + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cornerstone OnDemand MCP Server delivers measurable value.

Automated workflows: build agents that query Cornerstone OnDemand, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Cornerstone OnDemand, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Cornerstone OnDemand tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Cornerstone OnDemand to resolve tickets, look up records, and update statuses without human intervention

Cornerstone OnDemand MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Cornerstone OnDemand to OpenAI Agents SDK via MCP:

get_course_details

Touches content metadata and availability rule boundaries. Get details for a specific training course

get_user_details

Touches organizational hierarchy, contact information, and account settings boundaries. Get full profile for a specific employee

list_catalog

Resolves learning object IDs, titles, descriptions, and training types. List all learning objects in the catalog

list_courses

Resolves course metadata, duration, and delivery method. List available training courses

list_departments

Resolves department IDs, names, and parent-child relationships. List organizational departments

list_job_postings

Resolves job title, location, department, and posting date. List internal and external job openings

list_performance_reviews

Resolves review cycle IDs, status, and associated employee/manager pairs. List active or past performance reviews

list_skills_inventory

Resolves skill names, descriptions, and categories. List all skills defined in the system

list_user_transcripts

Resolves course enrollment status, completion dates, and scores. List learning history and courses for a user

list_users

Resolves properties such as user ID, name, email, department, and employment status. List users in the Cornerstone portal

Example Prompts for Cornerstone OnDemand in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cornerstone OnDemand immediately.

"List all active training courses available in our learning catalog."

"Show me the learning transcript for employee 'Jane Doe'."

"List all open job postings in the Engineering department."

Troubleshooting Cornerstone OnDemand MCP Server with OpenAI Agents SDK

Common issues when connecting Cornerstone OnDemand to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cornerstone OnDemand + OpenAI Agents SDK FAQ

Common questions about integrating Cornerstone OnDemand MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.