Integrate DigitalChalk with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet lms account metadata on DigitalChalk
Retrieve metadata and settings for your DigitalChalk account
Get offering details on DigitalChalk
Get detailed settings and information for a specific course offering
Get user learning profile on DigitalChalk
Get full profile and enrollment history for a specific user
List assessment exams on DigitalChalk
List all exams and quizzes defined in the system
List course offerings on DigitalChalk
List all available course offerings in your DigitalChalk catalog
List high performing learners on DigitalChalk
Identify enrollments with a grade above a certain percentage (mock logic)
List lms users on DigitalChalk
List all students and administrators registered in your DigitalChalk account
List recent course completions on DigitalChalk
Identify enrollments that have been recently completed (mock logic)
List user enrollments on DigitalChalk
List all courses a specific user is currently enrolled in
Search users by identity on DigitalChalk
Search for a user by their full name or email address
Security & Code Integrity Audit
Every tool in the DigitalChalk MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What is the subdomain?
It is the first part of your DigitalChalk URL. For example, if you access your portal at 'mycompany.digitalchalk.com', your subdomain is 'mycompany'.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using DigitalChalk
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the DigitalChalk MCP server to manage operations across the following domains.
Next-Gen lms Operations
The DigitalChalk MCP translates LLM intent into specific lms actions. Agents like Cursor use this to interface securely with your human resources infrastructure.
ChatGPT online training Automation
Use DigitalChalk to manage online training via conversational interfaces. The integration centralizes access control for human resources operations performed by ChatGPT.
DigitalChalk. 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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