DigitalChalk MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DigitalChalk through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"digitalchalk": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DigitalChalk Agent",
instructions:
"You help users interact with DigitalChalk " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DigitalChalk?"
);
console.log(result.text);
}
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 DigitalChalk MCP Server
Integrate DigitalChalk, the comprehensive learning management system (LMS), directly into your AI workflow. Manage your course offerings, monitor student enrollments and completion statuses, and track exam results using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and DigitalChalk tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Offering Oversight — List and retrieve detailed settings for all your active course offerings in the catalog.
- Learner Intelligence — Access detailed profiles for students and administrators and track their learning history.
- Progress Tracking — Monitor individual enrollment progress and identify recently completed courses.
- Assessment Monitoring — List exams and quizzes and track results to ensure academic compliance.
The DigitalChalk MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 DigitalChalk to Mastra AI via MCP
Follow these steps to integrate the DigitalChalk MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from DigitalChalk via MCP
Why Use Mastra AI with the DigitalChalk MCP Server
Mastra AI provides unique advantages when paired with DigitalChalk through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add DigitalChalk without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every DigitalChalk tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
DigitalChalk + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DigitalChalk MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DigitalChalk, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DigitalChalk as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DigitalChalk on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DigitalChalk tools alongside other MCP servers
DigitalChalk MCP Tools for Mastra AI (10)
These 10 tools become available when you connect DigitalChalk to Mastra AI via MCP:
get_lms_account_metadata
Retrieve metadata and settings for your DigitalChalk account
get_offering_details
Get detailed settings and information for a specific course offering
get_user_learning_profile
Get full profile and enrollment history for a specific user
list_assessment_exams
List all exams and quizzes defined in the system
list_course_offerings
List all available course offerings in your DigitalChalk catalog
list_high_performing_learners
Identify enrollments with a grade above a certain percentage (mock logic)
list_lms_users
List all students and administrators registered in your DigitalChalk account
list_recent_course_completions
Identify enrollments that have been recently completed (mock logic)
list_user_enrollments
List all courses a specific user is currently enrolled in
search_users_by_identity
Search for a user by their full name or email address
Example Prompts for DigitalChalk in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with DigitalChalk immediately.
"List all active course offerings."
"Show me the grade for user 'John Doe' in 'Business Ethics'."
"Search for users with email '@example.com'."
Troubleshooting DigitalChalk MCP Server with Mastra AI
Common issues when connecting DigitalChalk to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDigitalChalk + Mastra AI FAQ
Common questions about integrating DigitalChalk MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect DigitalChalk 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 DigitalChalk to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.