Cornerstone OnDemand MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cornerstone OnDemand through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Cornerstone OnDemand, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every Cornerstone OnDemand tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Cornerstone OnDemand MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Cornerstone OnDemand and passes them to the LLM
Why Use Vercel AI SDK with the Cornerstone OnDemand MCP Server
Vercel AI SDK provides unique advantages when paired with Cornerstone OnDemand through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cornerstone OnDemand integration everywhere
Built-in streaming UI primitives let you display Cornerstone OnDemand tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cornerstone OnDemand + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cornerstone OnDemand MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cornerstone OnDemand in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cornerstone OnDemand tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cornerstone OnDemand capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cornerstone OnDemand through natural language queries
Cornerstone OnDemand MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Cornerstone OnDemand to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Cornerstone OnDemand to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCornerstone OnDemand + Vercel AI SDK FAQ
Common questions about integrating Cornerstone OnDemand MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Cornerstone OnDemand with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cornerstone OnDemand to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.