eduMe 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 eduMe through 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: {
"edume": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "eduMe Agent",
instructions:
"You help users interact with eduMe " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with eduMe?"
);
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 eduMe MCP Server
Integrate eduMe, the leading mobile-first training platform for the deskless workforce, directly into your AI workflow. Manage your training courses and modules, track trainee profiles and completion rates, monitor team performance, and oversee your organizational learning metadata using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and eduMe 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 information and completion metrics for all your mobile training courses.
- Trainee Intelligence — Monitor user training profiles, identifying completed courses, active enrollments, and organizational team memberships.
- Team Management — Access and monitor all training teams and user groups configured in your eduMe account.
- Learning Auditing — Retrieve high-level summaries of team activity, course engagement, and organizational training health.
The eduMe 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 eduMe to Mastra AI via MCP
Follow these steps to integrate the eduMe 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 eduMe via MCP
Why Use Mastra AI with the eduMe MCP Server
Mastra AI provides unique advantages when paired with eduMe through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add eduMe 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 eduMe 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
eduMe + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the eduMe MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query eduMe, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed eduMe as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query eduMe on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using eduMe tools alongside other MCP servers
eduMe MCP Tools for Mastra AI (10)
These 10 tools become available when you connect eduMe to Mastra AI via MCP:
get_course_details
Get detailed settings and module list for a specific training course
get_edume_account_metadata
Retrieve metadata and limits for your eduMe account
get_user_training_profile
Get full training history and profile for a specific user
list_latest_training_content
Identify the most recently created or updated training courses
list_top_performing_courses
Identify courses with the highest completion or engagement rates (mock logic)
list_trained_users
List all users registered in your eduMe training platform
list_training_courses
List all mobile training courses available in eduMe
list_training_teams
List all teams and user groups configured in your eduMe account
quick_team_training_audit
Retrieve a high-level summary of team activity and member counts
search_trainees_by_keyword
Search for users using a name keyword or external identifier
Example Prompts for eduMe in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with eduMe immediately.
"List all mobile training courses."
"Show me the training profile for user 'john_doe'."
"Which teams have the lowest course engagement?"
Troubleshooting eduMe MCP Server with Mastra AI
Common issues when connecting eduMe to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpeduMe + Mastra AI FAQ
Common questions about integrating eduMe 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 eduMe 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 eduMe to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.