EdApp MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Create New Learner, Get Account Info, Get Catalog Statistics, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect EdApp through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The EdApp app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"edapp": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "EdApp Agent",
instructions:
"You help users interact with EdApp " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with EdApp?"
);
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 EdApp MCP Server
Connect your EdApp (now SC Training) account to any AI agent and take full control of your corporate training and mobile learning workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and EdApp tool infrastructure. Connect 12 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
- Learner Orchestration — List and manage your learning community programmatically, including registering new users and retrieving detailed learner profiles
- Catalog Intelligence — Access your complete course catalog and retrieve metadata for lessons and course collections to coordinate training content
- Success Monitoring — Programmatically track course progress and retrieve high-fidelity analytics on completion rates and student engagement
- Interaction Insight — Access detailed logs of lesson attempts and user activity to identify knowledge gaps and coordinate coaching
- Operational Visibility — Check active webhooks and retrieve account metadata directly through your agent for instant L&D reporting
The EdApp MCP Server exposes 12 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.
All 12 EdApp tools available for Mastra AI
When Mastra AI connects to EdApp through Vinkius, your AI agent gets direct access to every tool listed below — spanning edapp, microlearning, lms-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add learner to EdApp
Get admin info
Check training stats
Check learner progress
Get user profile
Check lesson interactions
Get event notifications
List grouped content
List course content
List EdApp users
List all courses
Delete learner
Connect EdApp to Mastra AI via MCP
Follow these steps to wire EdApp into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the EdApp MCP Server
Mastra AI provides unique advantages when paired with EdApp through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add EdApp 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 EdApp 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
EdApp + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the EdApp MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query EdApp, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed EdApp as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query EdApp on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using EdApp tools alongside other MCP servers
Example Prompts for EdApp in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with EdApp immediately.
"List all active training courses in my EdApp account."
"Show me the progress report for course ID 'crs_1'."
"Register 'jane.doe@example.com' as a new learner."
Troubleshooting EdApp MCP Server with Mastra AI
Common issues when connecting EdApp to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEdApp + Mastra AI FAQ
Common questions about integrating EdApp 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.