Compatible with every major AI agent and IDE
Get course details on Cornerstone OnDemand
Touches content metadata and availability rule boundaries. Get details for a specific training course
Get user details on Cornerstone OnDemand
Touches organizational hierarchy, contact information, and account settings boundaries. Get full profile for a specific employee
List catalog on Cornerstone OnDemand
Resolves learning object IDs, titles, descriptions, and training types. List all learning objects in the catalog
List courses on Cornerstone OnDemand
Resolves course metadata, duration, and delivery method. List available training courses
List departments on Cornerstone OnDemand
Resolves department IDs, names, and parent-child relationships. List organizational departments
List job postings on Cornerstone OnDemand
Resolves job title, location, department, and posting date. List internal and external job openings
List performance reviews on Cornerstone OnDemand
Resolves review cycle IDs, status, and associated employee/manager pairs. List active or past performance reviews
List skills inventory on Cornerstone OnDemand
Resolves skill names, descriptions, and categories. List all skills defined in the system
List user transcripts on Cornerstone OnDemand
Resolves course enrollment status, completion dates, and scores. List learning history and courses for a user
List users on Cornerstone OnDemand
Resolves properties such as user ID, name, email, department, and employment status. List users in the Cornerstone portal
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
Automated Workflows using Cornerstone OnDemand
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Cornerstone OnDemand MCP server to manage operations across the following domains.
Next-Gen lms Operations
The Cornerstone OnDemand MCP translates LLM intent into specific lms actions. Agents like Cursor use this to interface securely with your productivity infrastructure.
Seamless talent management Integration
Connect Cornerstone OnDemand to provide your chatbots with talent management capabilities. The integration manages the backend execution for productivity workflows.
Cornerstone OnDemand. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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