Didacte 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 Didacte through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"didacte": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Didacte Agent",
instructions:
"You help users interact with Didacte " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Didacte?"
);
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 Didacte MCP Server
Integrate Didacte (by Workleap), the powerful and user-friendly learning management system (LMS), directly into your AI workflow. Manage your course catalog, monitor student enrollments and real-time progress, and audit your organization's learning activity using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Didacte tool infrastructure. Connect 10 tools through 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
- Course Oversight — List and retrieve detailed configuration for all courses available in your Didacte portal.
- Learner Intelligence — Access detailed profiles for users and track their learning history across the organization.
- Progress Tracking — Monitor individual enrollment progress and identify active learners in real-time.
- Curriculum Research — List lessons and modules within courses to understand the learning structure and content.
The Didacte 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 Didacte to Mastra AI via MCP
Follow these steps to integrate the Didacte 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 Didacte via MCP
Why Use Mastra AI with the Didacte MCP Server
Mastra AI provides unique advantages when paired with Didacte through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Didacte 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 Didacte 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
Didacte + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Didacte MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Didacte, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Didacte as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Didacte on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Didacte tools alongside other MCP servers
Didacte MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Didacte to Mastra AI via MCP:
get_account_metadata
Retrieve metadata and usage limits for your Didacte organization
get_course_details
Get detailed settings and information for a specific course
get_user_learning_profile
Get full profile and summary for a specific user
list_active_learning_progress
Identify enrollments where learners have made recent progress (mock logic)
list_course_curriculum
List all lessons and modules within a specific course
list_course_enrollments
List all users currently enrolled in a specific course
list_lms_courses
List all available courses in your Didacte organization
list_organization_users
List all users and learners registered in your organization
list_user_enrollments
List all courses a specific user is enrolled in
search_courses_by_title
Search for a course using a title keyword
Example Prompts for Didacte in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Didacte immediately.
"List all active courses in our portal."
"What is the progress for user 'Alice Johnson' in the 'Compliance' course?"
"Search for courses related to 'Leadership'."
Troubleshooting Didacte MCP Server with Mastra AI
Common issues when connecting Didacte to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDidacte + Mastra AI FAQ
Common questions about integrating Didacte 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 Didacte 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 Didacte to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.