How to Use the Cornerstone OnDemand MCP in VS Code Copilot

Q: Can VS Code Copilot write code using my actual Cornerstone OnDemand catalog schema?

Yes. Copilot runs listcatalog to inspect the structure of your learning objects, allowing it to generate accurate code based on real data.

Give your engineering team direct access to Cornerstone OnDemand APIs inside VS Code Copilot.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cornerstone OnDemand MCP to VS Code Copilot

Create your Vinkius account to connect Cornerstone OnDemand to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Cornerstone OnDemand with VS Code Copilot

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate recruiting tools in VS Code Copilot

Let your team build referral portals inside VS Code Copilot by querying `list_job_postings` directly from the chat. VS Code Copilot reads active openings to generate matching application forms. The agent pairs these postings with Cornerstone department structures fetched via `list_departments`. Your developers write code in VS Code Copilot that accurately routes applications to the correct hiring managers.

Standardize training integrations via MCP

Query `list_courses` directly from your editor to help your team integrate Cornerstone training modules into your internal wiki. VS Code Copilot uses these courses to help developers integrate training modules. Developers can call `get_course_details` to inspect availability rules and duration metrics. This ensures your VS Code Copilot team builds consistent, compliant training widgets.

Validate employee data models

Ask VS Code Copilot to generate database schemas that match your LMS by calling `list_users` to see the exact structure of your employee profiles. By analyzing the return values from `get_user_details`, the agent writes precise TypeScript interfaces. Your VS Code Copilot code perfectly mirrors your actual Cornerstone system data.

Setup guide

Set up Cornerstone OnDemand MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Cornerstone OnDemand MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Cornerstone OnDemand tools listed. Try asking: "List my recent Cornerstone OnDemand transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "cornerstone-ondemand-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cornerstone OnDemand. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cornerstone OnDemand now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cornerstone OnDemand MCP in VS Code Copilot

Create a .vscode/mcp.json file in your project root and commit it to Git. Every team member with VS Code 1.96+ will automatically load the configured tools.

Yes. Copilot runs `list_catalog` to inspect the structure of your learning objects, allowing it to generate accurate code based on real data.

Open Copilot Chat and switch to Agent mode. This allows the assistant to invoke the server commands directly from your editor.

Verify that your workspace mcp.json file is formatted correctly. You can also run the open user configuration command to check if the server is active.

All MCP tool executions run in isolated V8 sandboxes. Your defined skill names and category descriptions are processed ephemerally and never written to permanent storage.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript