How to Use the Cornerstone OnDemand MCP in Mastra AI

Q: How does Cornerstone OnDemand integrate with Mastra AI workflow steps?

You can use specific tool outputs, like getuserdetails, as inputs for subsequent workflow steps. This lets you build complex, multi-step integrations that run conditionally based on employee data.

Run reliable training workflows and sync employee records with Mastra AI and Cornerstone OnDemand.

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Connect Cornerstone OnDemand MCP to Mastra AI

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

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Setup Cornerstone OnDemand with Mastra AI

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Automate compliance workflows with Mastra AI

The `list_user_transcripts` tool lets you build a Mastra workflow that checks training compliance every Monday. If a critical course is missing, the workflow automatically triggers a reminder or flags the manager. Mastra's built-in step engine handles the logic. If the MCP Server rate-limits your request, the framework uses exponential backoff to retry, ensuring you don't lose track of who needs to finish their training.

Sync hiring and skills using this MCP Server

The `list_job_postings` tool allows your agent to pull active roles and compare them with your internal skills database. This lets the system identify internal candidates before you post roles externally. By querying `list_skills_inventory`, the agent identifies employees who already have the required background. It can then draft internal transfer recommendations based on actual team profiles found with `list_users`.

Manage performance review cycles safely

The `list_performance_reviews` tool lets your agent get active cycles and present them to HR to check. You can use Mastra's human-in-the-loop approval feature before any MCP tool actions occur. Once approved, the agent updates the records or schedules follow-up training courses. It uses `list_departments` to make sure the reviews map correctly to the right business units.

Setup guide

Set up Cornerstone OnDemand MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Cornerstone OnDemand tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cornerstone-ondemand-mcp-client",
  servers: {
    "cornerstone-ondemand-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Cornerstone OnDemand Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Cornerstone OnDemand tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Cornerstone OnDemand transactions"
);
console.log(result.text);

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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

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Common questions about Cornerstone OnDemand MCP in Mastra AI

Install the Mastra MCP package and initialize the client with your Vinkius HTTP URL. You can then register the tools directly inside your Mastra agent definition to let it execute commands.

Yes. Mastra has built-in retry mechanisms that handle API throttling gracefully. When calling `list_catalog` or `list_courses`, the workflow engine automatically retries failed requests.

You can use specific tool outputs, like `get_user_details`, as inputs for subsequent workflow steps. This lets you build complex, multi-step integrations that run conditionally based on employee data.

Absolutely. Mastra allows you to intercept tool execution, meaning an admin must click approve before the agent can access sensitive endpoints like performance reviews.

Every call to get performance reviews or course details runs inside a secure, ephemeral V8 sandbox. The MCP connection does not log or persist any employee metrics, keeping your corporate training records completely private.

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