eduMe MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect eduMe through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using eduMe, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every eduMe tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the eduMe MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from eduMe and passes them to the LLM
Why Use Vercel AI SDK with the eduMe MCP Server
Vercel AI SDK provides unique advantages when paired with eduMe through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same eduMe integration everywhere
Built-in streaming UI primitives let you display eduMe tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
eduMe + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the eduMe MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query eduMe in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate eduMe tools and return structured JSON responses to any frontend
Chatbots with tool use: embed eduMe capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with eduMe through natural language queries
eduMe MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect eduMe to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting eduMe to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpeduMe + Vercel AI SDK FAQ
Common questions about integrating eduMe MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.